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Outreach, founded in 2014, is the only complete platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.

About the job:

We are looking for an Associate Applied Scientist to join a dynamic and innovative AI platform team. If you are passionate about applying machine learning to knowledge graphs and reasoning systems at scale, this is an opportunity to build core components of Outreach's per-tenant knowledge graph while developing deep expertise under the guidance of senior scientists.
Our team is building a per-tenant contextual knowledge graph that captures the full complexity of each customer's sales environment: accounts, deals, contacts, rep behaviors, competitive landscape, and the signals buried in calls, emails, and CRM activity. This graph powers contextual reasoning across the platform, driving next-best-action recommendations, deal risk signals, coaching suggestions, and competitive intelligence. In this pivotal role, you will design the underlying representations, extraction pipelines, and reasoning layers that make this possible, working closely with cross-functional engineering and product teams to deliver innovative, scalable, and reliable AI capabilities with direct impact on revenue outcomes.
This role is ideal for someone with strong ML fundamentals who wants to build deep expertise in knowledge graphs and applied NLP in a fast-moving product environment.

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

Engineering

67 days ago

Staff Applied Scientist - Knowledge Graphs & AI

Outreach.io · Hyderabad

Pay

$15k–4500k

Setting

Remote

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About Outreach

About the job:

We are looking for an Applied Scientist to join a dynamic and innovative AI platform team that is pushing the boundaries of what's possible in sales execution. If you are passionate about applying cutting-edge research in knowledge graphs and reasoning systems to real-world problems at scale, this is an exceptional opportunity to shape a core piece of Outreach's AI architecture from the ground up.
Our team is building a per-tenant contextual knowledge graph that captures the full complexity of each customer's sales environment: accounts, deals, contacts, rep behaviors, competitive landscape, and the signals buried in calls, emails, and CRM activity. This graph powers contextual reasoning across the platform, driving next-best-action recommendations, deal risk signals, coaching suggestions, and competitive intelligence. In this pivotal role, you will design the underlying representations, extraction pipelines, and reasoning layers that make this possible, working closely with cross-functional engineering and product teams to deliver innovative, scalable, and reliable AI capabilities with direct impact on revenue outcomes.

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

Engineering

68 days ago

Engineering Manager, Compensation Planning

Pave · San Francisco, CA

Pay

$196k–264k

Setting

On-site

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Back to jobs Engineering Manager, Compensation Planning San Francisco, CA Apply Who We Are At Pave, we're building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision. Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 80% of Forbes AI 50 use Pave to benchmark compensation. The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. The Compensation Planning Team @ Pave The Compensation Planning team builds the products that help companies design, model, and run their annual and off-cycle compensation processes. This team owns one of Pave's highest-revenue product lines. As Engineering Manager, you'll lead the team responsible for the workflows that compensation and HR teams rely on to make accurate, defensible pay decisions at scale. You'll partner closely with Product and Design to shape the product roadmap, and with other engineering teams to align on the technical roadmap. What You'll Do Lead and grow an engineering team building the core planning and recommendation workflows used by compensation teams at companies like OpenAI, Databricks, and Atlassian Manage the team while staying close to the code: you should be comfortable reviewing designs and diving into implementation details when needed Drive the technical roadmap to help drive the product towards supporting companies with 150,000+ employees Partner with Product and Design to translate complex compensation planning requirements into technical requirements Ensure the accuracy and reliability of planning calculations, given the direct financial impact on customers' pay decisions Align with other product and platform teams to reuse components, patterns, and shared data models Communicate complex technical and compensation concepts clearly to both technical and non-technical stakeholders Coach and mentor your team through regular, constructive feedback What You'll Bring 7+ years of industry experience, including 2+ years of management experience on high-performing teams Confidence diving into technical details and challenging designs or solutions Demonstrated ability to lead and mentor teams through planning and execution of large technical projects spanning multiple quarters Strong communication and interpersonal skills to provide clear direction, set expectations, and give actionable feedback Ability to navigate ambiguity and tackle problems with high agency Nice to have: experience with b2b saas and/or financial systems where correctness and auditability of calculations are critical Compensation, It's What We Do. At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life — not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask. Targeted cash compensation for this role: $195,500 - $264,500 Benefits @ Pave At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making. What we offer Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are. Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month — because life doesn't pause, and neither should you. Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it. Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you. Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count. Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen. Life @ Pave Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management — giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we're just getting started. Headquartered in San Francisco's Financial District, with regional hubs in New York City's Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom — wherever you're based, you'll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave. We run a hybrid culture that brings teams together in person 3 to 4 days a week — and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It's one of the things people notice when they join us — that we truly enjoy spending time together. Our culture is shaped by five values we live every day: Be Intellectually Honest — Truth over comfort. We face reality clearly and speak directly, even when it's hard. Play to Win — We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it. Uphold the Pave Platinum Standard — We hold ourselves to the highest bar — for our customers, our data, and each other. One Team — We win and lose together. Titles don't drive decisions here — shared goals do. Hug of Jawn — Hard to define, impossible to miss. Ask your recruiter. Our Vision: Unlock a labor market built on trust. Our Mission: Build confidence in every compensation decision. We build software that transforms how companies pay their people — and we believe the team behind that software deserves the same thoughtfulness. If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you. Still deliberating? Just apply! We're always excited to meet people who are eager to contribute. Create a Job Alert Interested in building your career at Pave? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile* Most Recent Employer* Do you now, or will you in the future, require sponsorship for employment visa status (e.g., H-1B visa status, etc.) to work legally for our Company in the United States?* Select... Pave operates on a hybrid model with in-office days on Monday, Tuesday, Thursday, and Friday. Does this schedule work for you?* Select... What interests you about joining Pave? 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 Pave’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. Submit application Powered by

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

Engineering

68 days ago

Senior Staff Machine Learning Platform Engineer

Faire Wholesale, Inc. · Kitchener-Waterloo, ON

Pay

$248k–341k

Setting

On-site

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Senior Staff Machine Learning Platform Engineer Kitchener-Waterloo, ON; Remote - Ontario; Toronto, ON Apply About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. Note: This role can also be performed remotely for candidates located in Ontario, Canada. About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses. What You Will Do Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow Optimize performance, reliability, and cost of the ML platform Evaluate and integrate emerging Databricks features Stay ahead of the curve by engaging with the latest developments in machine learning and AI Serve as senior ML technical advisor to Faire’s data science and production engineering teams Represent Faire at ML conferences and meetups Mentor ML engineers and raise the overall bar for Machine Learning at Faire What it takes 10-12 years of experience building and improving large-scale ML or data platforms. A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field. Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization Proven ability to design systems that support multiple data science teams and production workloads Strong background in distributed systems, ML infrastructure, and cloud architecture. Demonstrated technical leadership across teams and orgs; ability to influence without authority Experience integrating LLM workflows into enterprise platforms is a plus Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus Tech Stack Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following: Category Technologies Languages Python, SQL, Kotlin ML Frameworks PyTorch, PySpark, MLFlow Big Data & Processing Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL Cloud & Infrastructure AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform Generative AI Claude Sonnet 4.5, ChatGPT 5.2 Salary Range Canada: the pay range for this role is $248,000 to $341,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Faire uses Artificial Intelligence (AI) to screen and select applicants for this position. This job posting is for an existing vacancy. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire 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. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy) Create a Job Alert Interested in building your career at Faire? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Preferred First Name Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website Please select your current province of residence. Select “Not in Canada” if you reside outside of Canada. This information helps us understand our talent pool and ensures we provide accurate resources throughout the hiring process.* Select... This role will be in-office on a hybrid schedule, can you commit to being in-office three days per week at the location where this position is posted?* Select... Before seeing this job posting, how familiar were you with Faire as a company? (Your response will not impact your application)* Select... How did you hear about Faire? (Select all that apply) * Answered “unaware” to previous question Online advertisement (social media, display ads, etc.) Billboard or outdoor advertising Faire's website Faire’s technical blogs (Faire.Tech, The Craft) Someone I know personally (friend, family, former colleague) Job posting on LinkedIn, Indeed, or other job board LinkedIn post or content (not a job posting) News article or media coverage Industry event or conference Other Canada Demographic Questions We believe the future is local. At the core of that future are our customers, a diverse and unique community of entrepreneurs who have taken a chance on themselves. We’re inspired by these dreamers who work today and every day for a better future for their communities. We are committed to building a community and sense of belonging here at Faire that reflects the customers we serve. We want to ensure that we hold ourselves to that commitment externally and internally because differences in perspectives, experiences, and ideas are what make us successful. Below is a set of completely voluntary demographic questions that are a part of our Diversity and Inclusion initiatives. All responses are anonymous, self-disclosed and will be kept confidential. Responses will be securely stored and will not be used to identify any individual employee. If you choose to fill out these questions, the responses will be used (in aggregate only) to help us identify areas for improvement in our 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. Which categories describe you? Select all that apply to you: * Select... How do you currently describe your gender identity? * Select... Submit application Powered by

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

Engineering

68 days ago

Product Support Engineer

Cartesia · San Francisco, California, United States

Pay

$100k–150k

Setting

On-site

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Product Support Engineer LOCATION *HQ - San Francisco, CA EMPLOYMENT TYPE Full time LOCATION TYPE On-site DEPARTMENT Product COMPENSATION Base Salary $100K – $150K • Offers Equity Overview Application ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ABOUT THE ROLE We’re looking for a Product Support Engineer to help our customers succeed with our platform by solving complex, technical issues and providing world-class support. You’ll work directly with customers, partner closely with engineering and product teams at a cutting-edge AI company, and help shape the processes and tools that define our post-sales support. This is a hands-on role where your feedback will influence the roadmap, improve product reliability, and set the standard for how our customers experience Cartesia. YOUR IMPACT Serve as the primary point of contact for support inbound from numerous sources like Slack, Pylon, WhatsApp, and other messaging platforms. Deliver white-glove support for our customers, diagnosing and resolving complex issues quickly and efficiently. Collaborate cross-functionally with product, engineering, and customer teams to become a trusted technical partner. Reproduce customer issues, perform first-pass triage, write clear bug reports, and help prioritize fixes to unblock users quickly. Troubleshoot across the stack: API errors, model behavior, latency/reliability issues, and partner integrations. Be a customer champion: give feedback on features, spot edge cases, and influence roadmap and quality standards. Document solutions and patterns in runbooks and contribute to customer-facing documentation and best practices. Build tooling and automations to resolve gaps and ease operations to efficiently resolve issues quickly. WHAT YOU BRING 2–8 years in a technical support, product support, technical account management, or forward-deployed engineering role. Strong technical troubleshooting skills with APIs, SDKs, logs, and integrations. Familiarity with AI tooling, APIs, or agentic systems. Comfortable reproducing issues, debugging errors, and collaborating with engineers to identify solutions. A builder mentality: can identify chokepoints in process and tooling and build to close gaps. Excellent written and verbal communication, able to distill complex technical problems for both internal teams and customers. Calm under pressure and able to prioritize effectively when multiple customer issues arise simultaneously. High ownership and collaborative mindset, excited to contribute to a small, fast-moving team. NICE TO HAVE Scripting experience in Python, JavaScript/TypeScript, or similar to reproduce, mock, or validate issues. Experience in fast-moving startup environments where the product ships frequently and customers are often in early/beta. Interest in tinkering with new features, debugging edge cases, and exploring workflows hands-on. Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire. MORE DETAILS 🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed. OUR BENEFITS (US EMPLOYEES ONLY) 💰 Compensation Competitive base salary alongside attractive equity package. 🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family. 🧑‍🧑‍🧒‍🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave 🏦 401(k) 🚆 Commuter Allowance A monthly stipend to help you get to and from the office. 🏖️ Flexible PTO Take as much time as you need to recharge your batteries. 🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily. 🦖 Your own personal Yoshi OUR COMMITMENT TO EQUAL OPPORTUNITY Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

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

Engineering

68 days ago

Product Support Engineer

Cartesia · San Francisco, California, United States

Pay

$100k–150k

Setting

On-site

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ABOUT CARTESIA Our mission is to architect AI that learns from and interacts with the world like humans do. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. ABOUT THE ROLE We’re looking for a Product Support Engineer to help our customers succeed with our platform by solving complex, technical issues and providing world-class support. You’ll work directly with customers, partner closely with engineering and product teams at a cutting-edge AI company, and help shape the processes and tools that define our post-sales support. This is a hands-on role where your feedback will influence the roadmap, improve product reliability, and set the standard for how our customers experience Cartesia. YOUR IMPACT - Serve as the primary point of contact for support inbound from numerous sources like Slack, Pylon, WhatsApp, and other messaging platforms. - Deliver white-glove support for our customers, diagnosing and resolving complex issues quickly and efficiently. - Collaborate cross-functionally with product, engineering, and customer teams to become a trusted technical partner. - Reproduce customer issues, perform first-pass triage, write clear bug reports, and help prioritize fixes to unblock users quickly. - Troubleshoot across the stack: API errors, model behavior, latency/reliability issues, and partner integrations. - Be a customer champion: give feedback on features, spot edge cases, and influence roadmap and quality standards. - Document solutions and patterns in runbooks and contribute to customer-facing documentation and best practices. - Build tooling and automations to resolve gaps and ease operations to efficiently resolve issues quickly. WHAT YOU BRING - 2–8 years in a technical support, product support, technical account management, or forward-deployed engineering role. - Strong technical troubleshooting skills with APIs, SDKs, logs, and integrations. - Familiarity with AI tooling, APIs, or agentic systems. - Comfortable reproducing issues, debugging errors, and collaborating with engineers to identify solutions. - A builder mentality: can identify chokepoints in process and tooling and build to close gaps. - Excellent written and verbal communication, able to distill complex technical problems for both internal teams and customers. - Calm under pressure and able to prioritize effectively when multiple customer issues arise simultaneously. - High ownership and collaborative mindset, excited to contribute to a small, fast-moving team. NICE TO HAVE - Scripting experience in Python, JavaScript/TypeScript, or similar to reproduce, mock, or validate issues. - Experience in fast-moving startup environments where the product ships frequently and customers are often in early/beta. - Interest in tinkering with new features, debugging edge cases, and exploring workflows hands-on. Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire. MORE DETAILS 🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day. 🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way. 🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed. OUR BENEFITS (US EMPLOYEES ONLY) 💰 Compensation Competitive base salary alongside attractive equity package. 🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family. 🧑‍🧑‍🧒‍🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave 🏦 401(k) 🚆 Commuter Allowance A monthly stipend to help you get to and from the office. 🏖️ Flexible PTO Take as much time as you need to recharge your batteries. 🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily. 🦖 Your own personal Yoshi OUR COMMITMENT TO EQUAL OPPORTUNITY Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.

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

Engineering

69 days ago

Sales Engineer - Hadoop Observability & Open Data Platform

Acceldata · United States

Pay

$70k–180k

Setting

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Sales Engineer - Hadoop Observability & Open Data Platform United States / Washington, DC / Northern Virginia / Connecticut / Georgia / Florida / Maryland / VirginiaSales – Sales Engineering /Full-Time /Remote APPLY FOR THIS JOB Position Summary Acceldata is seeking a dynamic and results-oriented Sales Engineer to join our high-performing team. As a Sales Engineer, you will play a crucial role in driving the success of our Acceldata solutions (Hadoop Observability & Open Data Platform). You will be the technical expert and a key liaison between our customers and the sales team, demonstrating the value and capabilities of our products to address customer challenges effectively. We’re looking for someone who can: Collaborate with Acceldata Account Teams, Product, and Customer Support teams to help prospects, customers, and partners identify the value and need for Acceldata solutions. Develop, customise, and conduct technical presentations and product demonstrations to prospective customers, showcasing our solutions and how they address specific customer needs and challenges. Proficiency in multiple Hadoop components (HDFS, Yarn, Spark, Hive, HBase, Ranger, Kerberos, Kafka, Zookeeper, etc.) & their working architecture, usage & workflow. Hands-on experience with at least one of the following: Apache Spark, Trino, Jupyter and Airflow Partner with the Enterprise and Strategic Accounts teams to identify prospects’ environments and technical requirements to pursue tailored sales strategies, providing technical expertise to help close deals effectively. Work closely with customers to design and develop solutions tailored to their data environments and technical requirements. Develop comprehensive technical proposals & assist with crafting statements of work (SOWs). Lead the implementation of POCs to demonstrate the value & functionality of our products in the customer's environment. Analyze results & present value-oriented results to stakeholders. Support from professional services and engineering will be provided as needed for technical expertise, closing gaps, or handling large or long-term engagements and pilots. Provide internal support to sales, presales, marketing, partner and product teams. This includes marketing content development, demo asset creation, field intelligence, training, subject matter expertise, etc. to drive company success. Educate the sales team on the technical aspects of data observability solutions, enabling them to effectively communicate product value to customers and prospects. Assist in the development and maintenance of technical documentation, including product guides, technical specifications, and knowledge base articles, to aid customers and internal stakeholders in understanding and utilizing the data observability solutions. Partner with AE’s and sales managers to ensure deal qualification - making sure a strong solution and technical fit before significant technical investment. What makes you the right fit for this position? 12+ years of experience in a SaaS and Data Industry Sales Engineering role. Bachelor's degree in computer science, engineering, data science, or a related field. Hands-on experience with at least one of the following CSVs: AWS, GCP, and/or Azure. Hands-on experience with cloud platforms, including Databricks or Snowflake. Hands-on experience with data observability, data monitoring, data integration, and/or data quality products. Strong understanding of data observability trends, challenges, & opportunities in the industry. Strong understanding of the data ecosystem, including data warehouses, data lakes, and streaming data architectures. Excellent communication and presentation skills to effectively convey complex technical concepts to both technical and non-technical audiences. Ability to listen to customer needs, understand their pain points, and propose relevant data observability solutions. Ability to analyze customer data scenarios & recommend suitable observability strategies. “Growth mindset” - learn from mistakes, stay positive, find a path to win, look to the future, learn from the past. Proactive self-starter with inherent motivation to meet and exceed performance goals. Ability to work in a fast-paced and dynamic team environment. Travel up to 50% meeting with qualified prospects as well as customers. Willingness to do “whatever it takes” to WIN. $200,000 - $250,000 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. APPLY FOR THIS JOB Acceldata Home Page Jobs powered by

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