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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.

Engineering

75 days ago

Staff Software Engineer (GOlang, Back-end) - Prague, Czechia

Outreach.io · Prague

Pay

Not listed

Setting

On-site

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About Outreach

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 Team

The mission of the Email & Calendar Services team is to deliver the microservice constellation to support Outreach's email and calendar experience all the way through. From the compose to smart scheduling, send, telemetry and sync back to platform. Our team is processing literally millions of emails every day.

The team focuses on building reliable and performant services that connect Outreach to Customers’ email providers to send, sync and analyze email and calendar communication. This enables our customers to communicate and turns the millions of emails sent into valuable insights to help progress deals forward efficiently and effectively.

The team also supports the Email and Calendar Experiences team to provide ways to create, manage and organize content used in communications.

The Role

We are looking to grow the existing team by one more experienced back-end software engineer to join us; you would deep-dive on challenging technical problems, build scalable solutions and identify performance bottlenecks, iterate quickly and deliver incremental value and thrive in a collaborative team environment.

Your engagement would usually start with requirements clarification with the product manager or our partners. You will have the opportunity to put the best of your ideas to the design and prove your coding skills in actual implementation.

We primarily use micro-services written in GO on the back-end. However, we have legacy code in Ruby on Rails and you might encounter TypeScript too. We have data stores built on MySQL, PostgreSQL and various NoSQL databases like AWS DynamoDB. We are transitioning our data loading layer to use GraphQL.

Location

While we are remote-friendly, we remain an "office-centric" company. This role is categorized as hybrid and it is expected you live in a reasonable proximity to the office in Prague so you would be able to connect with your team on weekly regular basis, attend in-person meetings and company events.

This is a full-time, permanent role, not eligible for contractors and for work from other countries.

#LI-RG1

NOTE:

The offer is contingent upon successfully passing the background screening process.

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

Engineering

75 days ago

Staff Software Engineer Data - DC Tech Lead

Afresh · Remote - United States

Pay

$168k–273k

Setting

Remote

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Back to jobs Staff Software Engineer Data / Tech Lead (Distribution Center) Remote - United States Apply Afresh, the AI platform for grocery, began by tackling the most complex problem in the industry: fresh, and has evolved into the core AI platform for grocers. By leveraging proprietary AI designed for high-volatility environments, we empower partners like Albertsons, Meijer, and Wakefern to drive smarter decisions across their entire enterprise. Following record-breaking 70% revenue growth in 2025, we have scaled to 6 enterprise-grade solutions, with solutions live in over 10% of the U.S. grocery market. Our platform now orchestrates billions of decisions from the store floor to the distribution center and prevented over 200 million pounds of food waste last year alone. If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines how the world eats, there is no better time to join us. About the Role As a Staff Data Engineer, on the Distribution Center (DC) Solutions team, you’ll play a technical lead role in building and scaling the data integrations needed to support our suite of DC products. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools/improve the platform to make customer integrations faster, more accurate, and more scalable. Your work will have a direct and visible impact on our ability to onboard customers more easily and quickly and power our machine learning grocery solution. What You’ll Do Engineering & Data Pipelines: Design, build, and optimize robust ETLs using PySpark and DBT to process large-scale customer datasets while developing tools and frameworks to streamline data integrations and improve scalability. Technical Leadership & Strategy: Define the technical vision for DC data architecture, mentor engineers, and manage external contractors to ensure the team delivers high-quality, practical solutions for current and future needs. Cross-functional Collaboration: Partner with product, engineering, and applied science teams to scope work and deliver data solutions that address real-world challenges in customer data quality and product feature requirements. What Makes You a Great Fit We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification. Significant experience designing and maintaining ETLs that process large-scale datasets. Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT. 2+ years experience in a technical lead role (e.g. Tech Lead or Engineering Manager), with a willingness to mentor and help others grow. Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions. A focus on practical outcomes—you're skilled at balancing technical rigor with the need to get things done. Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them. A knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort. Excellent communication skills—you’re able to explain your ideas clearly to both technical and non-technical audiences. We’re looking for someone who thrives on tackling complex data problems and takes pride in building systems that work seamlessly at scale. If that sounds like you, we’d love to hear from you! This position is not eligible for immigration sponsorship Salary Range in US: $168K - $253K + meaningful early-stage equity + benefits Why You’ll Love Working at Afresh At Afresh, our mission to eliminate food waste starts with investing in our people. We provide a comprehensive support system designed to help you do your best work while maintaining a healthy, balanced life. Comprehensive Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your family, with the majority of premiums covered by Afresh. We also provide dedicated mental health support and counseling services. Invested in Your Future: Competitive base salary, meaningful equity (U.S. employees), and a 401(k) program with a generous company match. Flexible & Modern Workspace: Whether you work from home or a local office, we support your setup with a home office stipend and "Coworking Wallets" for flexible workspace access. Growth-Obsessed Culture: We believe in continuous learning. Every employee receives an annual professional development budget to master new skills and grow their career at Afresh. Holistic Monthly Stipends: Beyond your paycheck, we provide monthly stipends for "Betterment" (wellness/lifestyle) and telecommunications to ensure you have what you need to thrive. Time to Recharge: Flexible paid time off to take the time you need to recharge. *Full-time U.S. employees are eligible for these benefits About Afresh Founded in 2017, Afresh is using AI to tackle the #1 solution to curb climate change: reducing food waste. By building AI specifically for the intricacies of grocery—from the fresh perimeter to the center store—we help grocers minimize waste and maximize sales. Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals, including ICML, and our investors include Al Gore’s Just Climate, former Whole Foods Market CEO Walter Robb, and Eric Schmidt's Innovation Endeavors. Grocery is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. Afresh 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/expression, marital status, pregnancy or related condition, or any other basis protected by law. Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI. Get new jobs like this in your inbox We'll email you when Afresh posts a job like this one. 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 Education School* Select... Degree* Select... Add another Do you have unrestricted work authorization in the United States? (This may include, but is not limited to, U.S. citizens, permanent residents, temporary residents, asylees, refugees, conditional permanent residents)?* Select... Will you now, or in the future, require immigration sponsorship for continued employment in the United States?* Select... In which U.S. city & state do you currently reside?* Are you proficient with Python, PySpark, SQL, and do you have experience working on platforms/tools like Databricks, Snowflake, or DBT?* Select... Do you have 2+ years experience in a technical lead role (e.g. Tech Lead or Engineering Manager)? * Select... Why Afresh? Tell us what makes you excited to join our team.* LinkedIn Profile / Github Link* 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 Afresh’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 Afresh for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

76 days ago

Senior Software Engineer - Developer Platform

Pave · San Francisco, CA & New York, NY

Pay

$196k–264k

Setting

On-site

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Back to jobs Senior Software Engineer, Developer Platform San Francisco, CA & New York, NY 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 Developer Platform Team @ Pave The Developer Platform team sits at the heart of Pave Engineering. Our customers are Pave's own engineers. We treat developer experience as a product - the leverage layer that lets every team ship enterprise-grade software fast and reliably. This is a high-impact, high-autonomy role where you'll help define how Pave builds software. As a senior engineer, you'll lead initiatives end to end, from CI/CD and observability standards to local development workflows and incident response. You'll also shape how AI-assisted and agentic workflows fit into Pave's development loop - from scaffolding to review to deploy. You'll partner closely with engineers across product and data to remove friction, boost developer velocity, and strengthen reliability. You'll own the metrics for developer velocity and reliability, and be accountable for moving them. What You'll Bring 4+ years of experience in backend, infrastructure, or developer experience. Solid understanding of cloud architecture (GCP or similar), with a sharp sense of the reliability and security tradeoffs that come with handling sensitive compensation data. Strong debugging and systems thinking, with experience scaling production services. Hands on with modern AI tooling - agentic coding, AI-assisted review/testing - with a clear-eyed view of where it does and doesn't help. Experience with monorepo tooling and build systems - keeping builds fast and CI tractable as the codebase and team grow. High developer empathy - you love improving workflows and helping others move faster. Opinionated and pragmatic, with a genuine passion for engineering best practices and CI/CD craftsmanship: fast feedback loops, reliable pipelines, strong testing, safe progressive delivery. Comfortable in a fast-paced startup environment, with a proven ability to lead large, ambiguous projects that land cross-team impact. Some core technologies we build with include: TypeScript, Node.js, MySQL, Orbstack, Kubernetes, Terraform, Datadog, GitHub Actions, E2B, ClickHouse, and Incident.io. Compensation, It's What We do. Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental, and vision coverage, an unlimited PTO policy, and many other region-specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels. The targeted cash compensation for this position is (level depends on experience and performance in the interview process) $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 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... Which office location are you applying to? * San Francisco, CA New York City, NY 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

76 days ago

Staff Analytics Engineer

Kin Insurance · United States

Pay

$159k–187k

Setting

Remote

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QUICK SUMMARY You're the technical anchor for an analytics engineering team—owning ontology design, semantic modeling, and the patterns your team builds on. 8+ years required. WHO WE ARE Kin makes life simpler, more affordable, and better for homeowners — especially in the places where climate risks, rising costs, and outdated systems make it harder. We start with smarter homeowners insurance and expand to everything homeowners need to thrive. Using data, technology, and thoughtful human support, we’re building products that are clear, fair, and help homeowners feel confident — so homeowners aren’t left behind when they need help most. Founded in 2016, Kin is a remote-first employer with Kinfolk across more than 35 states. We serve customers in 14 states (and counting). Our disciplined growth, strong customer satisfaction, and focus on long-term sustainability fosters outstanding growth, attracts marquee investors, and earns recognition and accolades, including: - Built In Chicago's Best Places to Work, Midsize Companies (2021-2026) - Forbes' America's Best Startup Employers (2026) - Inc. 5000 Fastest-Growing Private Companies - Forbes’ Fintech 50 (2023-2026) - Great Places to Work Certified (May 2024-May 2027) Most importantly, we’re building Kin to be a place where people do meaningful work with real impact — for our customers, our communities, and each other. We're excited to tell you more about how you can contribute to our rapid growth, strong unit economics, profitability, and excellent customer ratings. To learn more about how we work and what we’re building, visit kin.com http://kin.com and see how we work https://www.linkedin.com/company/kin-insurance/life/kin/. THE OPPORTUNITY We're looking for a Staff Analytics Engineer to be the technical anchor of one of Kin's analytics engineering teams — the person who makes your team's slice of our shared data model correct, durable, and trusted. Within the Data Engineering organization, Analytics Engineering turns raw, domain-owned data into a shared, trusted semantic model of the business. As Kin moves to a data mesh — where domain teams own their data as products on a shared, self-serve platform — and adopts an ontology-driven source of truth, each analytics engineering team owns a meaningful piece of that model. You'll own the hardest modeling and design problems in your team's scope, from the ontology objects that represent your slice of the business to the dimensional and semantic models that serve them downstream in BI and self-service. You'll also be a technical thought partner to the product and business leaders your team supports — going deep enough on their goals to turn ambiguous needs into clear, durable technical plans. Understanding the business is part of the craft here, not someone else's job. YOUR RESPONSIBILITIES - Own the hardest modeling and architecture in your team's scope — ontology objects (types, properties, link types, and actions) that model your part of the business as it actually operates, and the dimensional and semantic models (e.g., Looker/LookML) that serve them downstream - Act as a technical thought partner to the product and business leaders your team supports: understand their goals deeply and translate ambiguous or conflicting business needs into clear, durable technical plans - Take end-to-end ownership of your team's most business-critical initiatives, where deep semantic and architectural judgment is the differentiator - Align your team's models with shared representations of core entities (customer, policy, claim) so they stay consistent and interoperable across the mesh — partnering with the Principal Engineer and peers where definitions are cross-cutting - Define the modeling patterns, naming conventions, and reference implementations your team builds on, and contribute them back to the discipline's shared standards - Drive data-as-a-product expectations within your team's scope — ownership, contracts, documentation, and reliability for what your team owns - Partner with domain data engineers to shape the data contracts and pipelines that feed clean, well-defined ontology objects, and surface upstream issues that degrade your team's models - Raise the technical bar through model and design review, pairing, mentorship, and contributions to hiring and onboarding - Set your team's patterns for applying Claude and Claude Code to analytics engineering work, and design the ontology and semantic layer to be AI-consumable so tools like Databricks Genie can reason over your team's data reliably SUCCESS IN THIS ROLE In your first 6–12 months at Kin, success is less about checking boxes and more about the impact you create. You’ll use your skills and judgment to take ownership of meaningful work, improve how we operate, and help move Kin’s mission forward. Along the way, you’ll deliver outcomes that make a real difference for both Kinfolk and the homeowners we serve. By the end of your first year, you should feel confident in your role, trusted as an owner, and proud of the progress you’ve helped make. - The hardest modeling problems in your team's scope are solved durably — your team's ontology objects and presentation-layer models are stable, documented, and trusted by the business partners who depend on them - Product and business partners bring you in early on their hardest problems and trust the technical direction you set - Your team builds on the patterns you've established without needing your review on routine work, measurably reducing bottlenecks - A previously intractable modeling problem in your team's domain is solved and documented as a reference others across the mesh can follow WHAT YOU’LL BRING - 8+ years in analytics engineering, BI engineering, or data modeling roles, with a track record of being the technical anchor on complex, cross-cutting data work - Deep expertise in semantic and data modeling — and the judgment to know when an ontology-driven model, a dimensional model, or both is the right tool - Hands-on experience with an ontology or object-based semantic layer (e.g., Palantir Foundry Ontology), or strong transferable modeling experience and the appetite to go deep - Fluency in dimensional modeling for presentation/BI consumption (e.g., Looker/LookML) downstream of a source-of-truth model - Experience with data mesh, data-as-a-product, and domain-oriented architecture — or strong, well-reasoned conviction about how federated data ownership should work - Experience with modern lakehouse platforms (e.g., Databricks) operated as a shared, self-serve data platform - Demonstrated technical leadership and influence without formal authority — you move a team and its partners through credibility, clarity, and example - Strong written and verbal communication, especially when navigating ambiguity, tradeoffs, or disagreement - Comfort applying Claude, Claude Code, and Databricks-native AI tools in day-to-day analytics engineering work Bonus if you have: - Python, Git-based workflows, or transformation frameworks such as SQLMesh or dbt - Experience with Foundry Pipeline Builder/Functions or performance tuning at scale HOW WE HIRE We believe a great hiring experience should be clear, respectful, and human. We’ll accept applications for this position until July 24, 2026. While our recruiting team uses AI tools for efficiency, resumes are still screened by Kin’s in-house recruiters, and candidate evaluations and hiring decisions are made by recruiters and hiring teams. Rest assured, real people make real decisions. The hiring process and timeline for each role will vary, depending on the position. However, here are some things you can expect from us: - Prompt updates and feedback following interviews - Interviews with recruiters, hiring managers, and members of teams - Skills assessment relevant to the position, if applicable - Genuine, thoughtful human interaction at every step HOW WE SUPPORT YOU We offer a comprehensive, competitive benefits program, allowing you to choose the benefits that are best for you and your family, starting on the first day of the month following your start date. Core Benefits - Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package and based on role and level - 401(k) with company match up to 4% of eligible earnings - Multiple medical plan options, plus dental and vision coverage - Company-funded HSA contributions (based on medical plan selection) - Company-paid life insurance and short-term disability Health & Wellbeing - A variety of supplemental benefit options, including long-term disability, critical illness, accident, legal, and pet insurance - Access to mental health support and confidential counseling resources - Flexible PTO for exempt employees (most employees take 15–20 days per year), plus 8 company-observed holidays - Paid parental leave, including up to 14 weeks at 100% pay for birthing parents and 8 weeks at 100% pay for non-birthing parents Growth & Development - Career mobility and internal growth opportunities across the organization - Professional development budgets for certifications, conferences, and learning available, subject to management approval HOW WE WORK We don’t just hire for skills. We hire for alignment. Kinfolk bring diverse perspectives, but we’re united by a shared set of values that shape how we work and how we show up for each other and our customers. Run through walls, together - Every one of us is responsible for creating the culture we want to work in. High performance. Low drama. Always respectful. We assume the best in each other and challenge ideas, not intentions. We show up, work hard, and play to each other's strengths — because that’s how great teams win. Raise the bar. Drop the ego - Attitudes are contagious. Every one of us is responsible for creating the culture we want to work in. High performance. Low drama. Always respectful. Like professional sports teams, we win by working in sync. We show up, work hard, and play to each other’s strengths. Act like an owner - We are owners, fully accountable for achieving Kin’s mission. That requires positive, proactive, big-picture thinking well beyond our job descriptions. Ask questions, Take ownership. Do the right thing, even when it‘s hard. Because when Kin thrives, so do you. And so do our customers. Operate lean. Deliver more - We build efficiency into everything we do. Each dollar we save gets reinvested to deliver more to our customers: better pricing, more products, and new innovations. We work smarter by relentlessly prioritizing and using technology, including AI, to multiply our impact. Lean is about focus, not deprivation. Lean isn't a limitation — it's our competitive advantage. Keep asking ‘What if?’ - We value curiosity. To make insurance better for our customers, we experiment. We embrace insights. And we base decisions on data rather than assumptions. We see setbacks as opportunities for growth and are always learning and improving. Both individually and as a company. WHERE WE WORK We are a remote-first company with offices in Chicago, IL and St. Petersburg, FL where teams can come together for collaboration. For Sales Agents and Customer Service Agents: These roles sit in any of the following 30 states: AL, AZ, CO, FL, ID, IL, IN, KS, KY, MA, MD, ME, MI, MO, MT, NC, NE, NM, NV, NY, OH, OK, PA, SC, TN, TX, UT, VT, VA, WA, and WI. For all other positions, these roles can sit in any of the following 40 states: AL, AR, AZ, CA (exempt only), CO, CT, FL, GA, ID, IL, IN, IA, KS, KY, MA, ME, MD, MI, MN, MO, MT, NC, NE, NJ, NM, NV, NY, OH, OK, OR, PA, SC, SD, TN, TX, UT, VT, VA, WA, and WI. Please only apply if you are able to live and work full-time in one of the states listed above. For remote technical positions located in Canada, we are only able to hire individuals who reside in Ontario. Applicants must be able to live and work full-time in Ontario to be considered. State locations and specifics are subject to change as our hiring requirements shift. EEOC STATEMENT Kin is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We don't just accept difference – we honor it, nurture it, and celebrate it. We don’t discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Kin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation, please contact us by sending an email to careers@kin.com

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