data scientist - fraud Jobs in San Francisco

data scientist - fraud

principal data engineer for ai platform Jobs in San Francisco

principal data engineer for ai platform

data scientist fraud

Plaid

<div>
 We believe that the way people interact with their finances will drastically improve in the next few years. We&rsquo;re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid&rsquo;s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
 
 
 The Data team within Plaid&rsquo;s Fraud organization builds the machine learning systems that power Plaid&rsquo;s newest fraud detection products, leveraging the breadth of Plaid&rsquo;s network data to stop fraud before it occurs. We manage the full lifecycle of these systems&mdash;from feature pipeline development and model training to deployment, serving, and monitoring&mdash;ensuring our solutions scale reliably as we grow to support hundreds of customers.
 
 
 As a Data Scientist on Plaid&rsquo;s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. You&rsquo;ll build dashboards and performance metrics that create a clear, shared view of product health for both the team and our go-to-market partners. You will run backtests on customer traffic to evaluate model and rule performance, uncover high-value opportunities, and generate insights that support sales motions and customer expansion. You&rsquo;ll also design the underlying data models and schemas that enable efficient, reliable analysis and reporting. In close partnership with Product and Engineering, you will help design and evaluate experiments that shape new customer-facing features and inform the future of our fraud products.
 
 
 ***We are open to remote candidates***
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work at the intersection of product analytics, machine learning, and fraud/risk to drive meaningful product improvements.
 </li>
 <li>
 Own the metrics, dashboards, and experimentation frameworks that inform product strategy and decision-making.
 </li>
 <li>
 Analyze complex datasets to uncover clear, actionable insights that shape product direction.
 </li>
 <li>
 Partner with go-to-market teams to demonstrate the technical and business value of our products to customers.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;5 years of total experience, including at least 2&ndash;3 years working deeply with product analytics, experimentation, or data-driven products.
 </li>
 <li>
 Strong proficiency in SQL and Python.
 </li>
 <li>
 Hands-on experience with product analytics, experimentation frameworks, or backtesting methodologies.
 </li>
 <li>
 Skilled in designing, building, and maintaining dashboards and core product performance metrics.
 </li>
 <li>
 Capable of designing and interpreting backtests or offline evaluations for ML and rules-based systems.
 </li>
 <li>
 Excellent communicator with strong stakeholder-management skills across diverse teams.
 </li>
 <li>
 Background in fraud or risk domains &mdash; Nice to have.
 </li>
 <li>
 Familiarity with data-insights products and a solid understanding of model-performance metrics &mdash; Nice to have.
 </li>
 <li>
 Exposure to customer-facing or GTM-facing analytics &mdash; Nice to have.
 
 
 </li>
 </ul>
 $162,000 - $222,000 a year
 
 
 The target base salary for this position ranges from $162,000/year to $222,000/year in Zone 1. The target base salary will vary based on the job's location.
 
 
 
 Our Geographic Zones Are As Follows
 
 
 
 Zone 1 - New York City and San Francisco Bay Area
 
 
 Zone 2 - Los Angeles, Seattle, Washington D.C.
 
 
 Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego
 
 
 Zone 4 - Raleigh-Durham and all other US cities
 
 
 Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
 
 
 Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
 
 
 Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] .
 
 
 Please review our Candidate Privacy Notice here .
</div>

Data Scientist - Fraud

Imprint

<div><h2 class="jobSectionHeader">Who We Are</h2>
Imprint is reimagining co-branded credit cards &amp; financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products&mdash;without becoming a bank.
Co-branded cards account for over $300 billion in U.S. annual spend&mdash;but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today&rsquo;s consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we&rsquo;re building a world-class team to redefine how people pay&mdash;and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we&rsquo;d love to meet you.<h2 class="jobSectionHeader">
The Team</h2>
Our AI &amp; Data Implementation team is responsible for designing, deploying, and optimizing artificial intelligence systems that power credit card decisioning, risk management, personalization, and customer service at scale. We work closely with Product, Engineering, Data Science, and Operations to bring AI solutions into production that are safe, explainable, and regulatory-compliant.
We&rsquo;re looking for a Senior AI Implementation Specialist who can bridge technical execution with business impact&mdash;leading the rollout of AI tools across the credit card lifecycle, from application to collections, while ensuring compliance with consumer credit regulations.<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Lead the design and implementation of AI models and decision systems in credit card underwriting, fraud detection, collections, and customer engagement.</li><li>
Partner with Data Science, Risk, and Compliance teams to ensure models meet regulatory requirements (e.g., Fair Lending, Reg Z, ECOA, FCRA).</li><li>
Translate business requirements into technical specifications, ensuring AI systems are scalable, explainable, and auditable.</li><li>
Manage deployment of AI solutions into production, including model integration with core platforms and third-party systems.</li><li>
Establish monitoring and feedback loops to measure AI system performance, fairness, and drift over time.</li><li>
Collaborate with stakeholders across Product, Operations, and Finance to maximize the business impact of AI-powered initiatives.</li><li>
Champion best practices for responsible AI use in financial services, including documentation, testing, and governance.</li><li>
Stay current on emerging AI technologies, regulations, and fintech use cases to guide adoption.</li></ul><h2 class="jobSectionHeader">
What We Look For</h2><ul><li>
8+ years of experience in artificial intelligence, machine learning, or advanced analytics, with at least 4+ years in credit cards or consumer lending.</li><li>
Proven track record of deploying AI solutions in production for risk management, fraud detection, marketing personalization, or customer service automation.</li><li>
Strong understanding of credit card lifecycle processes (acquisition, underwriting, servicing, fraud, collections).</li><li>
Familiarity with consumer credit regulations and compliance requirements, including model explainability and adverse action notices.</li><li>
Proficiency in Python (or similar), SQL, and model deployment frameworks.</li><li>
Experience with cloud-based AI/ML platforms (AWS, GCP, or Azure).</li><li>
Ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.</li><li>
Strong problem-solving skills and the ability to balance innovation with regulatory rigor.</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Background in fintech, payments, or large-scale consumer credit portfolios.</li><li>
Experience with deployments in industry systems (AWS Sagemaker).</li><li>
Knowledge of Large Language Models (LLMs) and their safe deployment in financial services.</li><li>
Exposure to call center or chatbot AI integrations for servicing credit card customers.</li></ul><h2 class="jobSectionHeader">
Perks &amp; Benefits</h2><ul><li>
Competitive compensation and equity packages</li><li>
Leading configured work computers of your choice</li><li>
Flexible paid time off</li><li>
Fully covered, high-quality healthcare, including fully covered dependent coverage</li><li>
Additional health coverage includes access to One Medical and the option to enroll in an FSA</li><li>
16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents</li><li>
Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity</li></ul>
Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let&rsquo;s move the world forward, together.
Compensation Range: $150K - $175K</div>

Senior AI Implementation Specialist – Credit Cards

<div><h1 class="jobSectionHeader">Power to the buyers</h1>
BRM is growing our team of passionate teammates on a mission to arm people with the right tools to do their best work. BRM&rsquo;s digital assistants automagically help companies find and manage tools. Whether it is collaborating on a renewal, locating misplaced contracts, intelligently negotiating, or automating compliance reviews&ndash;&ndash;BRM&rsquo;s assistants are bringing power back to the buyer!<h3 class="jobSectionHeader">
Why we need you</h3>
We&rsquo;re looking for a Growth Marketing &amp; GTM Engineering Lead, our first growth-focused marketing hire, to own and scale BRM&rsquo;s marketing engine from the ground up. You&rsquo;ll work in close partnership with our Product Marketing Lead and our CEO, combining creative storytelling with data-driven experimentation to attract, engage, and convert buyers.
This isn&rsquo;t a &ldquo;run campaigns&rdquo; kind of role. You will be engineering growth systems, leveraging data and automation, and building a scalable go-to-market engine that ties brand, product, and revenue together. Think of it as a &ldquo;mad scientist&rdquo; marketer.
If you&rsquo;re a hybrid of marketer, builder, and data scientist, who can wire up a funnel and ship creative experiments in the same week, this role is for you.<h3 class="jobSectionHeader">
What you&rsquo;ll do</h3><ul><li>
Build and execute BRM&rsquo;s growth strategy 
Define and operationalize the end-to-end growth plan, driving awareness, acquisition, and conversion through experimentation and optimization.</li><li> 
Collaborate closely with the Product Marketing Lead 
Work together to align storytelling, messaging, and positioning with channel and funnel strategy. PMM drives what we say; you&rsquo;ll own how we scale it.</li><li> 
Own channel strategy and execution 
Identify, test, and double down on the channels that matter most, like SEM, ABM, SEO, content distribution, community, paid social, outbound, and more.</li><li> 
Engineer growth systems 
Build the underlying infrastructure, analytics, tracking, automation, and lead enrichment to turn insight into action at scale. 
 
</li><li>Run structured growth experiments
 
Design and execute rapid, iterative experiments across multiple funnel stages. Learn fast, and systematize what works.</li><li> 
Measure, report, and optimize 
Track KPIs across acquisition, activation, and conversion. Build dashboards that connect marketing inputs to business outcomes.</li><li> 
Collaborate across teams 
Work closely with Product, Sales, and Data to create integrated campaigns, inform pricing and packaging tests, and identify new growth levers.</li></ul><h3 class="jobSectionHeader"> 
Who you are</h3><ul><li> 
You&rsquo;re a systems thinker who connects marketing, product, and data to drive growth.</li><li> 
You experiment quickly and are comfortable with those experiments failing. The only way we can find what works is by rapidly cycling through what doesn&rsquo;t. 
 
</li><li>You&rsquo;ve built and managed growth or experimentation programs at a B2B SaaS startup, or you have a finance quant background and are SaaS-curious. (5+ years of experience in either discipline)</li><li> 
You&rsquo;re comfortable being hands-on, from designing A/B tests to setting up automation scripts.</li><li> 
You think creatively and analytically, and know that great ideas only matter when they&rsquo;re measured.</li><li> 
You&rsquo;re fluent in modern growth stacks, from analytics to automation.</li><li> 
You thrive in fast-paced, high-accountability environments and act like an owner.</li><li> 
You see marketing as a system of levers, not a set of tasks.</li></ul><h3 class="jobSectionHeader"> 
This role isn&rsquo;t for you if...</h3><ul><li>
You need a pre-existing playbook.</li><li> 
You&rsquo;re uncomfortable with technical tools or data.</li><li> 
You shy away from ownership or direct feedback.</li><li> 
You&rsquo;re seeking predictability or a narrow scope.</li></ul><h3 class="jobSectionHeader">
Why work at BRM</h3><ul><li>
Partner with strong peers. You&rsquo;ll work directly with BRM&rsquo;s cofounders and the Product Marketing Lead to shape our go-to-market engine.</li><li> 
Own your function. You'll be the architect of BRM&rsquo;s growth strategy and experimentation roadmap, and you&rsquo;ll have full autonomy and accountability to design, test, and scale our growth systems.</li><li> 
Join a high-velocity startup. We&rsquo;re operating at the intersection of AI, automation, and B2B buying &mdash; with major traction and great customers.</li><li> 
Massive upside. Competitive cash compensation, significant equity, and the opportunity to define a market category.</li><li> 
In-person collaboration. We build together &mdash; five days a week at our SF HQ near Caltrain.</li><li> 
Our compensation philosophy reflects a thoughtful balance: while we are mindful of being cash-conscious as an early-stage startup, we are committed to offering competitive compensation to attract top talent. Leveraging market data, we ensure base cash compensation is competitive for our first marketing hire. Currently, we do not offer cash bonuses. That said, we prioritize paying at the upper end of the pay scale and offer significant equity, aligning incentives with the company's long-term success. We seek individuals drawn to the asymmetric risk of an early-stage venture and the substantial upside it can deliver. As a pre-revenue business, urgency and commitment are essential qualities for our team. As Charlie Munger aptly said, &quot;Show me the incentive, and I will show you the outcome.&quot;</li></ul><h3 class="jobSectionHeader">
Join us</h3>
The next few years at BRM will be challenging, rewarding, and fun. We are building a team of excellent people that will fundamentally change B2B commerce. We know you will play a role in that, and this is your chance to shape the trajectory of a rapidly scaling company and your career at the intersection of innovation, strategy, and leadership. We are excited to chat further!
This is your opportunity to build BRM&rsquo;s growth engine from the ground up, alongside a team redefining how companies buy, manage, and govern their software.
If you can blend engineering rigor with marketing creativity, we want to talk.
We are an equal opportunity employer and do not discriminate on the basis of any status protected under federal, state, or local law.</div>

GTM Engineer

Labcorp

<div>Invitae, part of Labcorp is looking for Variant Scientist II to join the team! The Variant Scientist II will contribute to a high-performing team that supports clinical operations, variant interpretation, clinical reporting, client inquiries, incident management, and process improvements across our product portfolio with a very strong focus on operational efficiency. This position will contribute to the development and implementation of processes and tools to improve and scale variant interpretation and clinical reporting. We are seeking candidates with a strong background in variant interpretation, as well as previous experience with operations support or training.
Please note: this position has the option to be 100% remote in the US, or physically located at our laboratory in San Francisco, CA.
The schedule for this position will be Monday-Friday, 8am-5pm local time zone.
Responsibilities:
<ul><li>Up to 25% of the time performing variant interpretation (aka variant curation) and report quality control using our validated in-house genetic evidence system to generate clear and concise clinical reports</li><li>
Critically analyze and interpret clinical and genetic information, including published literature, public and private databases, functional studies and modeling, as well as patient clinical records</li><li>
Achieve and maintain technical and clinical competency through initial and ongoing training in a fast-paced and dynamic environment</li><li>
Provide support to the extended clinical operations team by creating or maintaining workflows for triaging, answering, and/or problem solving</li><li>
Contribute to incident response and provide a feedback mechanism into process improvements</li><li>
Develop and maintain general documentation and standard operating procedures (SOPs) that support efficient operational and team functional workflows. As well as support other team&rsquo;s SOPs
</li><li>Provide strategic input towards the development and refinement of tools for analyzing genetic data by initiating or serving as directly responsible individual for projects to scale and improve clinical reporting</li><li>
Participate in new-hire and ongoing training programs and competency assurance protocols</li><li>
Provide support to client-facing teams by addressing client requests and inquiries related to variant interpretation, clinical reporting, results accuracy, or providing general scientific expertise.</li></ul>
Requirements:
<ul><li>Ph.D. in Life Sciences (Genetics / Molecular Genetics /Human Genetics) with previous variant interpretation experience OR
</li><li>Master's degree in Genetic Counseling, biological sciences, molecular genetics, human genetics or a related field with a minimum of 2 years of relevant variant interpretation experience OR</li></ul><ul><li>
Bachelor's degree in Genetics, biological sciences, molecular genetics, human genetics or related field with minimum 3 years of relevant variant interpretation experience</li><li>
Previous experience or a strong interest in training related activities</li></ul>
Preferred Requirements:<ul><li>
Experience in a CLIA diagnostic laboratory, familiarity with next-generation sequencing, genetic variant curation, interpretation of clinical relevance, and knowledge of advanced methods of copy number detection and copy number variant interpretation</li><li>
Experience or strong interest in operations support or training in a genetics diagnostics laboratory with a focus on operations efficiency and quality in a high volume fast paced setting</li></ul>
Skills and Competencies:
<ul><li>Demonstrated ability to understand, synthesize, and coherently evaluate complex genetic information</li><li>
Strong written and verbal communication skills, ensuring clear and efficient information exchange</li><li>
A sense of curiosity, strong collaborative spirit, and a willingness to learn</li><li>
Proven ability to work independently while maintaining a strong team-oriented approach</li><li>
Exceptional critical thinking skills and ability to work independently in a cross-functional setting</li><li>
Active problem-solver who communicates persuasively to drive decision-making</li><li>
Operational mindset and strong attention to detail</li></ul>
Application Window Closes: 11/25/2025
**Salary Range: $98,000 - $150,000 / year
All job offers will be based on a candidate&rsquo;s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.
Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN &amp; Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here.
Labcorp is proud to be an Equal Opportunity Employer:
Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.
We encourage all to apply
If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.</div>

Variant Scientist II - Remote

Tools for Humanity

<div>About the Company:
World is a network of real humans, built on privacy-preserving proof-of-human technology, and powered by a globally inclusive financial network that enables the free flow of digital assets for all. It is built to connect, empower, and be owned by everyone.<h2 class="jobSectionHeader">
About the Team</h2>
People spend fifteen seconds with an Orb, but a lifetime with the World App. As such, the App team plays a critical role in fulfilling our mission. Using the App, people can join the World network, participate in decentralized finance in a friendly and self-custodial manner, and use their World ID to unlock services across the ecosystem. The Growth team is responsible for driving World&rsquo;s biggest priority across the entirety of the business: reaching critical scale.<h2 class="jobSectionHeader">
About the Opportunity:</h2>
As a Senior Product Manager, Growth Incentives at Tools for Humanity, you&rsquo;ll drive one of the most strategically important areas of World&rsquo;s growth and scale: Our global incentive programs. Today, incentives such as the Worldcoin airdrop and referral programs are key drivers of our expansion, representing investments in the tens of millions of dollars each month. You&rsquo;ll own and optimize these programs, ensuring they are efficient, data-informed, and impactful in driving sustainable user growth.<ul><li>
Own and optimize World&rsquo;s incentive programs, including the Worldcoin airdrop and referral systems, which drive the majority of current growth.</li><li>
Manage multi-million dollar monthly incentive budgets, ensuring programs are effective, efficient, and aligned with long-term growth goals.</li><li>
Design, test, and launch new incentive models that attract, activate, and retain users while maintaining sustainable unit economics.</li><li>
Collaborate cross-functionally with product, economics, finance, data science, marketing, fraud prevention and regional teams to scale global incentive initiatives.</li><li>
Leverage data and experimentation to measure program effectiveness, identify optimization opportunities, and inform strategic decisions.</li><li>
Model incentive performance and ROI, partnering with finance and data teams to assess cost efficiency and user impact.</li><li>
Ensure localization and regional relevance of incentive programs to maximize engagement and effectiveness in diverse international markets.</li><li>
Champion a culture of analytical rigor and experimentation, setting high standards for measurement and learning velocity.</li><li>
Influence and align stakeholders across the organization, communicating insights, recommendations, and trade-offs with clarity and confidence.</li></ul><h2 class="jobSectionHeader"> 
About You:</h2><ul><li>
You have 8+ years of experience as a Product Manager focused on growth, incentives, or performance-based product initiatives.</li><li>
You&rsquo;ve owned or scaled large incentive programs - such as referral systems, cashback offers, or user reward campaigns - with proven impact on user acquisition and retention.</li><li>
You are experienced in Performance Marketing, SEO.</li><li>
You bring a strong analytical and data-driven mindset, with the ability to interpret complex data and model incentive outcomes.</li><li>
You have a background in economics, data science, or quantitative problem-solving, or equivalent hands-on experience managing incentive-driven systems.</li><li>
You thrive in fast-paced, high-growth environments, using experimentation and iteration to uncover what drives sustainable user engagement.</li><li>
You&rsquo;ve worked in international markets and understand how localization and cultural context influence user motivation and incentives.</li><li>
You are curious, creative, and impact-oriented, motivated by building systems that power global growth at scale.</li><li>
Obsessed with building delightful products, placing great care on user experience.</li><li>
You have a bias towards action, a high sense of urgency, and a willingness to roll up your sleeves to get things done.</li></ul> 
Pay transparency statement (for CA and NY based roles): The reasonably estimated salary for this role at TFH ranges from $220,000 - $280,000, plus a competitive long term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, TFH offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, vision, 401(k) plan and match, life insurance, flexible time off, commuter benefits, professional development stipend and much more!
By submitting your application, you consent to the processing and internal sharing of your CV within the company, in compliance with the GDPR</div>

Senior Product Manager, Growth Incentives

Associate General Counsel, Investigations

Sprig

<div>
 
 About Sprig
 
 
 
 Sprig is building the AI-native successor to legacy survey tools, like Qualtrics, Medallia, and SurveyMonkey. We believe the future of experience research won&rsquo;t be powered by slow, siloed platforms. It will be fast, intelligent, and deeply integrated into how modern teams build great products.
 
 
 Our mission is to make deep customer understanding effortless and always on. With Sprig, product teams no longer guess. They know. We are creating a future where AI uncovers insights, accelerates workflows, and enables teams to deliver exceptional customer experiences in real-time.
 
 
 Companies like Notion, Figma, Coinbase, and TripAdvisor already use Sprig to stay closer to their customers than ever before. We&rsquo;re scaling quickly toward $100M ARR, launching new AI-powered capabilities, and expanding our impact across the world&rsquo;s most innovative companies.
 
 
 If you're energized by bold ideas, rapid growth, and the opportunity to redefine an entire category, we'd love to meet you.
 
 
 
 About The Role
 
 
 
 Sprig&rsquo;s AI team builds the systems that help user-experience researchers and product managers understand their users at scale. Every day, we process over half a billion events and run millions of AI inference queries, transforming raw feedback and usage data into actionable product insights. As a senior software engineer, you&rsquo;ll own and evolve the backend systems that make this possible&mdash;distributed data pipelines, inference workflows, and the integrations that bring AI-powered understanding into Sprig&rsquo;s product.
 
 
 Our work spans from distributed data processing and inference pipelines to the product surface that UX researchers and PMs interact with. The team operates across the stack but this role emphasizes large-scale backend systems and integration with applied AI. You&rsquo;ll join a group that values pragmatic engineering, clear design, and measurable impact, advancing both our technical foundation and our ability to deliver trustworthy, privacy-safe analyses and insights.
 
 
 This is a hybrid role with three days working in our downtown San Francisco office, which is just a short walking distance from the Montgomery BART station.
 
 
 
 Your Impact
 
 
 
 <ul>
 <li>
 Build and ship user-facing features &ndash; Develop UI components and backend APIs that help product and research teams understand user experiences at scale.
 </li>
 <li>
 Own small features end-to-end &ndash; Take responsibility for well-defined product surfaces or API endpoints, from design and implementation to monitoring and iteration.
 </li>
 <li>
 Collaborate and learn from experienced engineers &ndash; Work closely with senior teammates to review designs, debug complex issues, and grow your technical judgment.
 </li>
 <li>
 Extend your impact into AI and data systems &ndash; Gain exposure to distributed data workflows, prompt engineering, and the AI inference systems that power Sprig&rsquo;s analyses and insights.
 </li>
 <li>
 Contribute to quality and shared understanding &ndash; Write reliable, testable code, improve observability, and document designs so others can build confidently on your work.
 
 
 </li>
 </ul>
 
 Your Strengths
 
 
 
 <ul>
 <li>
 You have 2+ years of professional experience building and shipping production software.
 </li>
 <li>
 You are comfortable developing across our stack: React, Node.js/Express, AWS, and PostgreSQL.
 </li>
 <li>
 You have a solid understanding of data structures, RESTful APIs, SQL, and testable system design.
 </li>
 <li>
 You are capable of designing, implementing, and maintaining well-scoped features or services end-to-end.
 </li>
 <li>
 You communicate clearly, contribute to reviews and design discussions, and learn through feedback.
 </li>
 <li>
 You are motivated to extend skills into distributed AI workflows, inference systems, and prompt and context engineering.
 </li>
 <li>
 It is a plus if you are familiar with event-driven architectures and distributed data processing.
 
 
 </li>
 </ul>
 
 Benefits &amp; Perks
 
 
 
 <ul>
 <li>
 Competitive Salary
 </li>
 <li>
 Competitive Employee Equity
 </li>
 <li>
 401K Program
 </li>
 <li>
 Medical, Dental, and Vision Benefits
 </li>
 <li>
 FSA/HSA Benefit
 </li>
 <li>
 $175/month Commuter Benefit
 </li>
 <li>
 Additional Wellbeing Benefits
 </li>
 <li>
 Flexible Paid Time Off
 </li>
 <li>
 Paid Parental Leave
 </li>
 <li>
 Professional Development Stipend
 </li>
 <li>
 Hybrid Office Policy
 </li>
 <li>
 Lunch and dinner daily
 </li>
 <li>
 Company Sponsored Social Events
 
 
 </li>
 </ul>
 At Sprig, we pride ourselves on being a people-first company, where your contributions truly matter and are valued. We were recently awarded by Fortune as top 50 best places to work in the US, and top 50 Places to Work in the Bay Area by Built In. Come join our mission of building products users love and have a real impact on Sprig&rsquo;s future.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We prioritize diversity within our team and value different perspectives, educational backgrounds, and life experiences. We encourage people from underrepresented backgrounds to apply.
 
 
 
 Employee Pay Disclosure
 
 
 
 The salary range for this full-time position is $ 150,000 - $230,000 + Equity + Benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for San Francisco, CA. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in postings reflect the base salary only, and do not include equity or benefits.
 
 
 ***Please beware of scammers who are posing as Sprig and Sprig team members. Our recruiters use @sprig.com email addresses exclusively. We do not conduct interviews via text or instant message, and we do not ask candidates to purchase equipment through us or solicit money from you. If you have been contacted by someone claiming to be from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.***
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Software Engineer, Fullstack (AI)

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