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ABOUT ARENA INTELLIGENCE Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. ABOUT THE ROLE We are seeking a Data Scientist with expertise in experimentation, causal inference, and retention analytics to drive data-informed decision-making and optimize user engagement. In this role, you will design and analyze experiments (A/B tests, quasi-experiments), develop measurement frameworks for key metrics (DAU, WAU, MAU, retention), and provide actionable insights to improve product growth and user retention. Proficiency in PySpark is highly desirable to handle large-scale datasets efficiently. ABOUT THE ROLE - Experimentation & Causal Inference - Design, implement, and analyze A/B tests, multi-armed bandits, and quasi-experimental methods to measure the impact of product changes. - Apply causal inference techniques (e.g., difference-in-differences, propensity score matching, synthetic control, regression discontinuity) to estimate treatment effects in non-randomized settings. - Collaborate with product, engineering, and marketing teams to define hypotheses, success metrics, and statistical power requirements. - Ensure rigorous statistical validity (e.g., controlling for biases, multiple testing corrections, confidence intervals). - Retention & Engagement Analytics - Develop and refine retention measurement frameworks (e.g., cohort analysis, survival analysis, churn prediction). - Define and track core engagement metrics (DAU, WAU, MAU, rolling retention, N-day retention) and diagnose trends. - Identify key drivers of retention through segmentation, funnel analysis, and predictive modeling. - Work with growth teams to optimize onboarding, engagement loops, and monetization strategies. - Data Infrastructure & Scalable Analytics - Build and maintain scalable data pipelines (using PySpark, SQL, or big data tools) to process and analyze large datasets. - Develop automated dashboards and reports (e.g., Tableau, Looker, Metabase) to monitor experiment performance and retention trends. - Ensure data quality and consistency in metric definitions across teams. - Optimize queries and computations for performance and cost efficiency in distributed systems (e.g., Databricks, AWS EMR, GCP BigQuery). - Cross-Functional Collaboration - Partner with product managers, engineers, and marketers to translate business questions into data-driven analyses. - Present findings and recommendations to executive stakeholders in clear, actionable formats. - Mentor junior data scientists and analysts on best practices in experimentation and retention analytics. YOU’LL HAVE - 3+ years of experience in data science, analytics, or experimentation (or equivalent in academic research). - Strong background in statistics and causal inference (hypothesis testing, Bayesian methods, experimental design). - Hands-on experience with SQL and Python (Pandas, NumPy, SciPy, StatsModels, Scikit-learn). - Proficiency in experimentation tools (e.g., Optimizely, Statsig, Eppo, or custom in-house systems). - Experience defining and analyzing retention metrics (DAU/WAU/MAU, cohort retention, churn). - Familiarity with big data tools (PySpark, Hadoop, or similar distributed computing frameworks). HIGHLY DESIRABLE: - Expertise in PySpark for large-scale data processing and analytics. - Experience with time-series forecasting, survival analysis, or uplift modeling. - Knowledge of ML for retention (e.g., propensity models, clustering, recommendation systems). - Experience with data visualization tools (Tableau, Looker, Plotly, Matplotlib/Seaborn). - Background in growth analytics, product analytics, or marketing analytics. NICE TO HAVE: - Advanced degree (MS/PhD) in Statistics, Economics, Computer Science, or a quantitative field. - Experience with reinforcement learning or bandit algorithms for dynamic experimentation. - Knowledge of MLOps or productionizing models (e.g., MLflow, Airflow, Docker). WHAT WE OFFER - We offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location. - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs. - The opportunity to work on cutting-edge AI with a small, mission-driven team - A culture that values transparency, trust, and community impact Come help build the space where anyone can explore and help shape the future of AI. Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Listed by Arena for a position based in the United States. Employers on this board attest they are hiring domestically.

Sales

83 days ago

Senior Partner Development Manager

Mixpanel · San Francisco, US (Hybrid)

Pay

$190k–256k

Setting

Hybrid

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Back to jobs Senior Partner Development Manager San Francisco, US (Hybrid) Apply About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com. About the Team The Strategic Alliances team is small, fast, and outcome-oriented - not a program or account mapping factory. We spearhead the identification, investigation, development and execution of initiatives & partnerships aimed at moving the needle for some of Mixpanel’s most strategic levers. As Mixpanel continues its evolution, this team is at the forefront of defining our new ecosystem realities and opportunities, particularly within the emerging spaces in, and enabled by, AI. LLM’s, Vibecoders and MCP Servers and their adjacencies are our workspace. About the Role You'll own a portfolio of partner opportunities and sourcing of structural deals — embedded distribution, revenue share, API embedding, committed co-sell — with the companies defining how AI-native software gets built and distributed (think Snowflake, Stripe, Anthropic, Google, Glean and Replit) and target new relationships, owning first conversation through execution. You’ll also provide due diligence support for in-flight opportunities. You need to be comfortable with ambiguity and have the ability to translate company priorities into a set of actionable and achievable partnerships. You will work closely with stakeholders and senior leadership across Product & Engineering, Marketing, Channel and Sales teams to ensure tight alignment and smooth execution - to be successful, you will need a track record of this collaboration with quantifiable outcomes. Responsibilities End-to-end ownership of a set of strategic partnerships with LLMs, Hyperscalers, AI developer tools, data platforms and niche providers who can fill product gaps. Market analysis and due diligence, with emphasis on quantitative support for new partnerships and market entries. Deal structuring and negotiation: term sheets, rev share, data licensing, API embedding, pipeline and revenue commitments Expand and elevate Mixpanel exposure within our newest strategic partners; driving alignment up to, and including, C-level relationships Work closely with Channel & Enablement teams seamless handoffs, as needed, around GTM execution: co-sell motions, joint pipeline, co-marketing in service of revenue or branding Inbound partner management — screen fast, route correctly, don't let it become a distraction Own the room with cross-functional stakeholders including Product, Engineering, Sales, and Legal to close and activate partnerships Design and execute unique playbooks with partners with aligned, committed outcomes; not a rinse and repeat of collateral creation, account mapping and team socialization Collaborate with marketing & demand gen teams to launch partnerships and campaigns designed to spread awareness and drive pipeline Define and evangelize the value proposition with partners; what are we doing together, why and who should care; Product Marketing is there for support, but this is yours to own. We’re Looking for Someone with 8+ years of professional experience with minimum of 5+ in strategic technology partnerships, alliances, or corp dev; ideally at a hyperscaler, high-growth SaaS, or with a consulting/banking background before going operator Track record of having closed deals with real structure: you've negotiated terms, not just managed relationships Fluency in the modern data stack (Snowflake, Databricks, BigQuery, Supabase) and the AI developer ecosystem (LLM platforms, agentics frameworks, vibe-coding tools, MCP Servers) Technically fluent enough to hold a credible conversation with a CPO or platform team; commercial enough to close; your job is not to set meetings Innate sense of urgency and prioritization; fast qualification, clear POV, no committee thinking Exceptional communication skills; creates executive-level deliverables that are outcome-first, data-backed, decision-ready Hands-on experience with AI; you’ve moved beyond chat interfaces and built something, shipped something, or broken something trying. You understand what developers actually experience when they evaluate a platform, and you can hold a credible technical conversation because of it, not despite your role. Ability to operate and create structure within ambiguity; our scope of impact is broad and strategic - you need to be able to translate company goals into executable initiatives and be able to clearly articulate that connection; you won’t have a quota and systems to execute against Exceptional cross-functional leadership and the ability to command the room and drive alignment across Product, Engineering, Sales/GTM, Legal, and Channel organizations. Strong executive presence, negotiation capability, and comfort operating in fast-moving, ambiguous environments. Bonus Points For MBA or other advanced business degree, JD or engineering degree. Previous experience in management or strategy consulting. Experience partnering with Snowflake, Databricks or GCP, Anthropic and others across the AI space. Hands-on experience with Mixpanel; able to connect the dots on partner opportunities Sold or partnered in a product-led growth context Built or shipped an integration — you know what it actually takes #LI-Remote Compensation The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here. Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information. Mixpanel Compensation Range $189,500 - $256,500 USD Benefits and Perks Comprehensive Medical, Vision, and Dental Care Mental Wellness Benefit Generous Vacation Policy & Additional Company Holidays Enhanced Parental Leave Volunteer Time Off Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break *please note that benefits and perks for contract positions will vary* Culture Values Make Bold Bets: We choose courageous action over comfortable progress. Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes. One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone. Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations. Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star. Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible. Why choose Mixpanel? We’re a leader in analytics with over 9,000 customers and $277M invested from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital. Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics. Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service. Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions. Mixpanel is an equal opportunity employer supporting workforce diversity. At Mixpanel, we are focused on things that really matter—our people, our customers, our partners—out of a recognition that those relationships are the most valuable assets we have. We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records. We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building. Apply for this job * indicates a required field First Name* Last Name* Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select... Degree Select... Discipline Select... Add another LinkedIn Profile Website How did you hear about Mixpanel as an Employer?* Select... Are you currently authorized to work in the country outlined for this job (e.g. H-1B status)?* Select... Name (the name you go by) Pronouns (the pronouns you use) Mixpanel does not discriminate on the basis of sexual orientation, gender identity or expression. To create an inclusive environment and ensure you are comfortable, please feel free to provide us with this information Please acknowledge that you've read and understand Mixpanel's Recruitment Privacy Policy* Select... Click here to review Mixpanel's Recruitment Privacy Notices Mixpanel Inclusion: Voluntary Demographics At Mixpanel, we value belonging and believe in fostering an environment where diversity can thrive. Mixpanel does not discriminate on the basis of sexual orientation, gender identity or expression. In order to track the effectiveness of our efforts and to ensure we consider the needs of all our employees, please consider the following optional question. The responses will be used (in aggregate only) to help us identify areas for improvement in our hiring process. Your responses, or your choice to not respond, will not be associated with your specific application and will not in any way be used in the hiring decision. Do you consider yourself a member of the Lesbian, Gay, Bisexual, Transgender, Queer/Questioning Community? Select... Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Mixpanel’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select... Are you Hispanic/Latino? Select... Race & Ethnicity Definitions If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Veteran Status Select... Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 07/31/2029 Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp. How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury Disability Status Select... PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete. By checking this box, I consent to Mixpanel collecting, storing, and processing my responses to the demographic data surveys above. Submit application Powered by

Listed by Mixpanel for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

88 days ago

Staff Data Infrastructure Engineer

Headway · New York, NY, United States

Pay

$212k–265k

Setting

Hybrid

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Staff Data Infrastructure Engineer Location New York, NY; San Francisco, CA; Seattle, WA Employment Type Full time Location Type Hybrid Department All Cost Centers Research & Development Engineering & Technology Data Compensation $212K – $265K • Offers Equity We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential. Overview Application 1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway’s mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that. But we're going further. Over 75,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens. We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. About Data Platform at Headway Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software and data can provide. The Data Platform team is a group of Data Engineers and Data Infrastructure Engineers who build and own our Snowflake data warehouse, data ingestion tooling, AWS infrastructure, CI/CD, and data developer experience. As we scale, we're looking for a Staff Data Infrastructure Engineer to architect, lead, and evolve the foundational systems that power our entire data organization, including new AI-driven workflows being adopted by non-technical staff. You'll serve as a technical anchor across our Data Analytics & Engineering, Product Engineering, and Machine Learning teams. This is not an analytics role. Who you are A technical leader who combines deep infrastructure expertise with the organizational instincts to drive alignment across teams. You thrive in ambiguity, operate with a high degree of ownership, and are as comfortable setting technical direction as you are building. You make other engineers better through code, architecture review, documentation, and mentorship. Experience we're seeking: 10+ years as a Data Platform Engineer, Software/Infrastructure Engineer specializing in data, or Data Engineer in a high-code, high-scale environment Track record of driving technical strategy and cross-functional alignment, including defining roadmaps for a data platform or infrastructure domain Deep expertise building full-stack data platforms: data warehousing, ingestion pipelines, orchestration, monitoring and alerting, CI/CD, developer tooling, cloud infrastructure, and third-party integrations Architectural fluency in warehouse design patterns, performance tuning, cost management, and permissions strategies on MPP analytics databases (Snowflake strongly preferred; Databricks, BigQuery, or Redshift also relevant) Experience leading technical initiatives end-to-end across multiple teams and codifying engineering standards Proficiency designing and operating cloud infrastructure at scale (AWS preferred) using infrastructure-as-code (Terraform, Pulumi, AWS CDK) Strong Python engineering skills; solid SQL foundations; comfort with distributed systems Experience maintaining and scaling pipeline orchestration infrastructure (Airflow/Astronomer preferred) Mentorship track record growing junior and mid-level engineers Bonus points for: Agentic Data Engineering (automating data infrastructure tasks, auditing permissions, optimized CI) APM and observability tooling (DataDog, New Relic) and data quality/observability frameworks ETL/ELT best practices at scale Data security and compliance in regulated environments, especially PHI Greenfield platform development in a high-growth startup Docker, GitHub Actions, dbt, Spark Build vs. buy decision-making and vendor evaluation You'll love this role if you want to: Set technical direction for data infrastructure at a company redefining access to mental healthcare Serve as a force multiplier, making data engineers, analysts, and ML practitioners more effective through the systems and standards you put in place Own consequential architectural decisions from whiteboard to production Build in a fast-paced environment where we ship multiple times per day and measure impact quickly Help shape Headway's engineering culture, processes, and documentation with the same rigor we bring to our products Compensation and Benefits: The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential. Benefits offered include: Equity compensation Medical, Dental, and Vision coverage HSA / FSA 401K Work-from-Home Stipend Therapy Reimbursement 16-week parental leave for eligible employees Carrot Fertility annual reimbursement and membership 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st Flexible PTO Employee Assistance Program (EAP) Training and professional development We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem – across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview. Headway participates in E-Verify. To learn more, click here. A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Headway for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

88 days ago

Senior Business Intelligence Engineer

Imprint · New York City, New York, United States

Pay

$170k–195k

Setting

Hybrid

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WHO WE ARE Imprint helps the world's best brands grow the lifetime value of their customers. We started with co-branded credit cards and rebuilt them to be smarter, more rewarding, and brand-first. We partner with companies like Crate & Barrel, Rakuten, Booking.com http://Booking.com, H-E-B, Fetch, and Shell to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. But the card is just the beginning. We combine advanced payments infrastructure, intelligent underwriting, and deep customer data to create delightful and personalized experiences for members as well as efficient and profitable relationships for our brand partners. Our robust technology and world-class operations allow us and our brand partners to offer powerful financial products without becoming a bank. In the U.S., co-branded cards alone account for over $300 billion in annual spend, and most still run on decades-old legacy bank systems. Imprint is the modern alternative: flexible, embeddable, and built for how people actually pay today. Backed by Kleiner Perkins, Thrive Capital, Ribbit, and Khosla Ventures, we're building a world-class team to redefine how people pay and how brands grow. If you want to move fast, solve hard problems, and own real outcomes, we want to meet you. THE OPPORTUNITY - Own the design, development, and delivery of scalable data models, semantic layers, and dashboards that serve business-critical reporting across Imprint - Partner directly with Engineering, Product, Finance, Marketing, and Operations to translate ambiguous business questions into reliable, scoped data solutions - Build and maintain dbt models that establish consistent, reusable data definitions and reduce ad hoc request volume through self-serve analytics infrastructure - Leverage AI-assisted development tools (Claude, Cursor, Copilot) to accelerate implementation, from SQL generation and model scaffolding to automated documentation, while owning the analytical design and validation - Own data quality, governance, and documentation practices for BI assets, ensuring dashboards and models are accurate, trustworthy, and discoverable - Surface insights proactively by identifying gaps and opportunities in the business, not just responding to inbound requests - Evaluate and adopt emerging AI tooling to improve team velocity, contributing to how the BI team integrates AI into its standard workflows YOUR PROFILE Required - Proven experience designing and delivering production-grade data solutions in a complex, high-scale environment - Deep SQL proficiency and strong data modeling fundamentals; the ability to read, validate, and direct complex queries matters more than raw writing speed in an AI-assisted workflow - Experience with a modern data stack (e.g., Snowflake or Databricks, dbt, Sigma or Looker) - Strong ability to work directly with stakeholders, translating ambiguous business questions into clear, scoped data products that non-technical users actually adopt and trust - Active experience building with AI tools (Claude, Codex, Copilot, Cursor, or similar) integrated into daily analytical and engineering workflows, not just awareness - Comfort operating in a fast-moving startup environment where you own projects end-to-end, prioritize based on business impact, and move fluidly between writing production SQL and sitting with stakeholders to define what "good" looks like Nice to Have - Experience in fintech, payments, lending, or regulated financial environments - Experience building or scaling BI infrastructure at a high-growth startup, including governance and data quality frameworks from scratch - Familiarity with data orchestration tools (e.g., Airflow) and Python or other scripting languages for transformation and automation - Experience defining AI-augmented analytics workflows at a team level: AI-assisted code review, automated documentation, prompt-driven data exploration, or agentic patterns like MCP and tool-use applied to data workflows We don't expect every candidate to check every box. If this role excites you and you bring strong fundamentals, we encourage you to apply. STACK Snowflake, dbt, Sigma. SQL as the primary language, with Python for transformation and automation. AWS infrastructure. LEARN MORE Learn more about how we build at Imprint on our engineering blog: https://tech.imprint.co/ PERKS & BENEFITS - Competitive compensation and equity packages - Leading configured work computers of your choice - Flexible paid time off - Fully covered, high-quality healthcare, including fully covered dependent coverage - Additional health coverage includes access to One Medical and the option to enroll in an FSA - 20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents - Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.

Listed by Imprint for a position based in the United States. Employers on this board attest they are hiring domestically.

Marketing

89 days ago

Staff Analytics, Product & Marketing

Earnin · Mountain View, US

Pay

$215k–263k

Setting

Hybrid

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Staff Analytics, Product & Marketing Mountain View, US Apply About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY We are seeking a Staff Analyst to partner closely with the CMO and product leadership to drive user growth and engagement. This leader will shape and drive the analytics strategy, mentor and develop the team, and collaborate cross-functionally with Marketing, Product, and Engineering to translate business needs into actionable insights. The primary goal of this position is to architect and build agentic workflows that transform how analytics operates: design AI-driven pipelines that work autonomously, surface insights proactively, and scale decision-making across the organization. You bring both the strategic vision to see where automation unlocks the most value, and the hands-on depth to get into the data and build it yourself. The Mountain View base salary range for this full-time position is $215,000 to $263,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week. WHAT YOU'LL DO Collaborate with Product, Engineering, Marketing, and cross‑functional partners to inform, influence, and execute strategy across product and growth surfaces. Build AI‑driven analytics agents that automate workflows such as experimentation readouts, funnel diagnostics, anomaly detection, and business reviews, and partner with Engineering to productionize these systems at scale. Develop and maintain experimentation, causal measurement, and product analytics frameworks that support acquisition, activation, engagement, retention, monetization, and LTV. Design and implement measurement and modeling approaches across paid, owned, and product surfaces, using uplift modeling, causal inference, and experimentation rigor (MMM optional). Develop a deep understanding of complex product and marketing systems to identify opportunities, risks, and levers for growth. Communicate insights clearly to technical and non‑technical audiences, influencing product and marketing roadmaps through data, modeling, and AI‑driven insights. WHAT WE'RE LOOKING FOR 7+ years in analytics, data science with deep hands‑on execution. Strong technical skills in SQL, Python, experimentation, and statistical modeling. Experience building AI‑driven analytics workflows (LLMs, agents, automation, or similar). Solid background in product and growth analytics across activation, engagement, retention, and monetization. Experience with causal inference, uplift modeling, and experimentation frameworks. Ability to operate as a high‑leverage IC who partners closely with executives and cross‑functional leaders. Excellent communication and storytelling skills for technical and non‑technical audiences. Experience in fintech, consumer tech, or data‑driven product organizations is a plus. Familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker) is a plus #LI-Hybrid A Note on AI in the Hiring Process: EarnIn may use Artificial Intelligence (AI)-powered tools during the hiring process, including tools that generate summaries or notes for interviewers, review resumes, assist with scheduling, or help identify themes across candidate responses and profiles for a given role. Final hiring decisions are made by human interviewers and hiring managers. If you have any concerns about the use of AI in our hiring process, please connect with your recruiter. With your consent, EarnIn may use AI tools to help transcribe or summarize interviews. Recordings are treated as confidential candidate data and are accessible only to authorized hiring personnel. Declining to be recorded will not negatively affect your candidacy or evaluation. At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. 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Listed by Earnin for a position based in the United States. Employers on this board attest they are hiring domestically.

Sales

91 days ago

GTM Engineer, Post-Sales

Skydio · San Mateo, California, United States

Pay

$140k–175k

Setting

Hybrid

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GTM Engineer, Post-Sales Location San Mateo, California, United States Employment Type Full time Location Type Hybrid Department Operations Overview Application Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond. About the Role As our GTM Engineer - Post Sales, you sit at the intersection of our post-sales teams and our technical build capacity. You understand how Customer Success, Support, Field Services, Training, and Operations teams work, what slows them down, and where software, automation, data, or AI can create leverage. You own the full cycle: find the problem, design the solution, build it, ship it, and make sure it sticks. This is a high-impact role. The work you do here won't just help one team move faster, it will shape how Skydio supports customers after the sale. The bar isn't just "does it work," it's "does it scale." You build systems that last, grow with the business, and make post-sales operations better over time. This role is Hybrid (onsite 3 days per week) in San Mateo. How You'll Make an Impact Find the right problems to solve Spend time with Customer Success, Support, Field Services, Training, and Operations teams to understand where friction exists and where technology can help Turn vague problems into clear requirements, technical designs, and measurable outcomes Evaluate opportunities based on impact, scalability, and long-term value Maintain and prioritize a backlog focused on the highest-leverage work Build things that scale Own the full build cycle: design, build, ship, iterate Design systems that create a reliable source of truth across customer-facing workflows Build internal applications, integrations, automations, and AI-powered tools that reduce manual work and improve visibility Connect and operationalize data across systems such as Salesforce, NetSuite, Jira, Databricks, Palantir Foundry, and other business platforms Use the right tool for the job, whether that's a custom application, integration, workflow, reporting layer, or AI-powered solution Drive adoption, not just delivery Getting something built is half the job. Getting people to use it is the other half Document and systematize what you build so knowledge lives in the organization, not in your head Track outcomes and improve based on adoption, feedback, and business impact What We're Looking For You understand operational systems You've spent meaningful time working with or alongside Customer Success, Support, Operations, Business Systems, BizOps, or similar teams You understand how customer records, product usage, support cases, orders, RMAs, assets, and operational workflows fit together You can translate business problems into technical solutions and communicate effectively with both operators and engineers You're a builder with strong technical instincts You've built internal tools, integrations, automations, data products, or AI-powered applications in a real environment Experience building applications, dashboards, and operational tooling that people rely on every day Experience working with large operational datasets and building the data models, transformations, and pipelines that power analytics and business workflows Experience designing integrations, APIs, workflows, and system-to-system writebacks across platforms such as Salesforce, NetSuite, Jira, Databricks, and similar systems Understands the fundamentals of modern application development, including APIs, authentication, routing, deployments, source control, and operating software in production Familiarity with modern AI systems including retrieval, embeddings, semantic search, and LLM-powered applications You build for scale You think about maintainability, ownership, and long-term system design from the beginning You document as you go and build with handoff in mind You know the difference between a prototype and a durable system You've got the right instincts You move quickly and are comfortable operating with incomplete information Strong prioritization and problem-solving skills Clear communicator who can translate between business stakeholders and technical teams Technical Experience Direct experience working with Palantir Foundry Experience with Databricks or similar lakehouse platforms Experience with Salesforce and NetSuite data models Experience building data pipelines, analytics layers, and business intelligence solutions Experience building AI-powered applications using LLMs, retrieval systems, and embeddings Hands-on experience building automations with Make, n8n, Zapier, or similar tools Obtaining FAA Part 107 certification within the first 60 days of employment is strongly encouraged for all Skydio employees and required for certain positions. Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $140,000 - $175,000*. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria. *Compensation for certain positions may vary based on the position’s location. #LI-LP1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/ Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Skydio for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

118 days ago

Data Engineer, People Innovation Labs

OpenAI · San Francisco, California, United States

Pay

$293k–325k

Setting

Hybrid

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About the Team

At OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation.

About the Role

We’re seeking a Data Engineer to build data-intensive systems that will power People Innovation Labs’ internal products and enable the People Analytics function to do their best work. These data pipelines are crucial for our build-out of people products backed by business systems of record and for ongoing people data analytics.

One example of an employee-facing product you’ll help us build is OpenHouse, which serves as a culture and communication hub and an organization-wide front door into all other aspects of People Innovation Labs’ work. OpenHouse and other products in our portfolio are built by full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with People Innovation Labs leadership and software engineers and the People Analytics team to build the data systems that enable this work.

In this role, you will:

Design, build and manage people data pipelines, ensuring all data is seamlessly integrated into our Databricks warehouse.
Develop canonical datasets to track key people metrics and People Innovation Labs product metrics.
Work collaboratively with various teams, including, Data Platform, Data Science, People Analytics, and Compensation and Equity to understand their data needs and provide solutions.
Implement robust and fault-tolerant systems for data ingestion and processing.
Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear as the primary data engineering expert on the team.
Ensure the security, integrity, and compliance of data according to industry and company standards.

Your background might look something like:

Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience (including data engineering).
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
Experience with data warehousing technologies such as Databricks and Snowflake, and expertise with ETL schedulers such as Fivetran, Airflow, Dagster, Prefect, or similar.
Experience with distributed processing technologies and frameworks, such as Spark, Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see .

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this .

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Listed by OpenAI for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

132 days ago

Senior Analytics Engineer

Plaid · San Francisco, California, United States

Pay

$157k–215k

Setting

Hybrid

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The Analytics Engineering team owns the full-stack analytics foundation for Plaid's GTM, CGX, NEA and Marketing organizations. We build and maintain the core semantic layer data models (dbt on Databricks), activation layer, and BI surfaces that these teams rely on — and we partner with stakeholders to turn those models into decisions, forecasts, analytics and experiments.

As a Senior Analytics Engineer, you’ll also act as an applied data science partner. In addition to core analytics engineering, you’ll work on predictive modeling, experimentation, lifetime value (LTV), and attribution alongside the broader team.

As a Senior Analytics Engineer on the Marketing pod, you will be the technical owner of Plaid's Marketing data stack. You will build the dbt models, predictive frameworks, and self-serve data products that Marketing leadership uses to plan spend, measure performance, and drive growth.

You'll partner directly with PMM, Growth Marketing, and Marketing leadership to deliver core data models, frameworks, and tools — including LTV, lead scoring, and experimentation tooling — with a north star that aims for prescriptive and production-grade analytics. You'll also help build the AI-powered experiences that let Marketing partners self-serve from our metric layer

Responsibilities

Own the dbt models and data marts that power Marketing analytics, activation, and reporting.
Build, validate, and productionize predictive models (lead scoring, LTV, channel attribution, propensity) in partnership with Marketing and GTM stakeholders
Partner with Marketing leadership on measurement frameworks, experiment design, and spend optimization — translating business questions into analytical answers
Enable self-serve analytics through AI tools and well-documented semantic models
Collaborate with ML, Data Engineering, and Ops teams to deliver best-in-class data infrastructure to Marketing

Qualifications

Bachelor's degree in a quantitative field (CS, Statistics, Economics, Engineering, or equivalent experience)
5+ years of proven experience in analytics engineering, data science, or a closely adjacent function
Advanced SQL and production-grade data modeling experience — dbt strongly preferred
Python proficiency for modeling and analysis work
Hands-on experience with a modern cloud warehouse (Databricks, Snowflake, BigQuery, or Redshift)
Demonstrated experience shipping predictive models or applied ML in a business context
Prior experience in Marketing Analytics, Growth, or GTM analytics at a SaaS or usage-based technology company
Strong stakeholder communication and the ability to autonomously drive projects end-to-end

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.

Please review our Candidate Privacy Notice .

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Listed by Plaid for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

172 days ago

Senior Data Engineer - Data Engineering

Plaid · San Francisco, California, United States

Pay

$191k–239k

Setting

Hybrid

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We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide golden datasets and tooling to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. In addition, Plaid will not be successful if we can't move quickly. We build the data systems and tools that enable everyone at Plaid to be data-driven, making analytics easy, obvious, and proactive across the company. Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities - Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. - Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company. - Advocating for adopting industry tools and practices at the right time. - Owning core SQL and python data pipelines that power our data lake and data warehouse. - Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications - 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale. - You’ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) - You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. - You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks. - You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka. - You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data. - You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption. - You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure. - You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs. - You are a champion for data privacy and integrity, and always act in the best interest of consumers. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here https://plaid.com/legal/#candidate-privacy-notice. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Listed by Plaid for a position based in the United States. Employers on this board attest they are hiring domestically.

Sales

202 days ago

Technical Partnerships Manager

Fundamental · San Francisco, United States

Pay

$115k–200k

Setting

Hybrid

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ABOUT FUNDAMENTAL Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS – the world's most powerful Large Tabular Model (LTM) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict. At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI. ABOUT THE ROLE We are looking for an experienced Technical Partnerships Manager to own, develop, and scale strategic technology partnerships that expand the reach and impact of NEXUS. This role sits at the intersection of business development and technical strategy — you will be responsible for building deep, mutually beneficial relationships with cloud providers (AWS), data platforms, infrastructure software companies, and marketplace partners. You will act as the connective tissue between our partners' technical and business teams and Fundamental's product, engineering, and go-to-market organizations — ensuring seamless integrations, joint solutions, and co-sell motions that drive adoption and revenue for both sides. This is a high-visibility role with direct impact on Fundamental's growth trajectory and how enterprises discover, deploy, and scale NEXUS across their data infrastructure. KEY RESPONSIBILITIES - Own and manage a segment of strategic technology partnerships (cloud providers including marketplaces, data platforms, system integrator, and infrastructure software vendors) - Develop and execute joint go-to-market strategies with partners, including co-sell programs, marketplace listings, and joint solution offerings - Serve as the primary point of contact for partner organizations, engaging with partner managers, sales representatives, solutions architects, and engineering teams - Drive partner integrations by translating technical requirements between Fundamental's engineering team and partner technical teams and ensure projects are executed on time - Identify, evaluate, and prioritize new partnership opportunities based on strategic fit, market demand, and revenue potential - Navigate complex partner ecosystems and internal decision dynamics to secure buy-in, resources, and co-investment from partner organizations - Collaborate with product and engineering to shape the integration roadmap based on partner and market feedback - Build and maintain partner business plans with clear milestones, success metrics, and pipeline targets - Represent Fundamental at partner events, industry conferences, and executive briefings MUST HAVE - 8+ years of experience in technical partnerships (of which 3+ within AI), partner management, business development, or solutions architecture within enterprise software, AI/ML, data platforms, and/or cloud infrastructure - Strong understanding of cloud and data infrastructure ecosystems (e.g., AWS, GCP, Azure, Databricks, Snowflake, etc) and how enterprise software is distributed via marketplaces and partner channels - Demonstrated ability to build and scale technology partnerships that deliver measurable business outcomes (pipeline, revenue, adoption) - Technical fluency — you can hold your own in conversations about APIs, data architectures, ML pipelines, and deployment models - Experience working cross-functionally with product, engineering, sales, and marketing teams to drive partner initiatives - Experience navigating large organizations and identifying key stakeholders to drive desired outcomes - Exceptional communication and relationship-building skills, with the ability to influence without authority across internal and external stakeholders - Strong business instinct — you understand good deal structures, co-sell mechanics, and how to create win-win partnership frameworks NICE TO HAVE - Experience within the AI/ML foundation model, predictive analytics, or structured data platform space - Background in GenAI/cloud GTM - Familiarity with enterprise data workflows including ETL, feature engineering, and ML deployment pipelines - Prior experience at or partnering with major cloud or data platform companies - Experience in a high-growth startup environment where you've built partnership programs from the ground up BENEFITS - Competitive compensation with salary and equity - Comprehensive health coverage for you and your dependents, including medical, dental, vision, and 401K - Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys - Relocation support for employees moving to join the team in one of our office locations - A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

Listed by Fundamental for a position based in the United States. Employers on this board attest they are hiring domestically.

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