We're looking for a Payments Performance Strategist to join our Global Payments Performance Team. As a Payments Performance Strategist, you will lead data-driven discussions with existing and prospective merchants on optimization strategies across various areas, including card network costs, acceptance, fraud, and cross-border flows. You will be instrumental in building our optimisation narratives/tools and delivering on our merchant engagement model. You will also collaborate with Sales, deploying your knowledge to differentiate Stripe to win deals, and partner with our Customer Success organization to ensure that merchants are successful working with Stripe.
\nResponsibilities:
\nRequirements:
\nPreferred qualifications:
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\nJob Summary
\nAs a Data Marketing Analyst II, you will be responsible for developing business segment, function, and process knowledge, as well as an understanding of business-area data and advanced analytics to successfully implement solutions that improve profitable growth.
\nEssential Job Functions
\nBuild Power BI and excel reports, handling large amounts of data, data manipulation, and solving complex business problems.
\nWork on analyses related to agency development, new agent programs, recruiting promotions, and more.
\nSupport Distribution objectives and agency development by assisting in advanced analytic projects, program development, calculating return on investments, and more.
\nServe as a subject matter expert in analytics and agency development.
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\nJob Description
\nWe're looking for a data-driven, strategic and execution-focused Growth Marketing/Performance Marketing Lead to manage Replit's PLG and self-serve paid acquisition channels. We're looking for someone who can inherit an existing program and immediately drive efficiency, optimization, and scale. Your job is to squeeze more signal from what's working, prune what isn't, and bring a relentless experimentation mindset to accelerating our self-serve growth engine.
\nYou'll work directly with our Head of Growth Marketing and collaborate closely with Creative, Product and Data. This role is ideal for someone who thrives in a high-velocity environment, is deeply channel-native, and is obsessed with improving CAC, conversion rates, and LTV across every stage of the self-serve funnel.
\nResponsibilities
\nOwn and optimize paid acquisition across PLG channels
\nTake full accountability for self-serve new user acquisition, free-to-paid conversion, and paid channel efficiency primarily focused on SEM/paid search, but able to lean into other channels such as paid social, display, programmatic, and affiliate
\nManage multi-million dollar media budgets with a clear focus on CAC efficiency and return on ad spend
\nTake a full funnel performance approach from impression to activated paying user — including landing pages, onboarding flow touchpoints, and trial conversion
\nDrive continuous optimization and a rigorous testing culture
\nIdentify performance gaps and inefficiencies across existing campaigns and channels; develop and execute a prioritized roadmap to address them
\nDesign and run structured A/B and multivariate experiments across creative, copy, audiences, landing pages, and bidding strategies
\nEstablish benchmarks, performance baselines, and a regular cadence of insights reporting to stakeholders
\nScale what's working — and build what's missing
\nLead channel expansion efforts: identify emerging acquisition opportunities in programmatic, connected TV, or new affiliate partnerships
\nPartner with Creative and Design teams to develop and iterate on high-performing ad assets optimized for each channel and audience
\nDevelop audience segmentation strategies that target the right users — with channel-appropriate messaging
\nBuild measurement infrastructure and attribution rigor
\nPartner with Data to ensure accurate measurement of paid channel contribution across the self-serve funnel
\nDevelop incrementality testing frameworks to move beyond last-click and measure true paid lift
\nTrack and report on full-funnel metrics
\nWhat You'll Bring
\n7+ years of performance marketing experience with expertise and hands-on expertise specifically in SEM/Paid Search. Experience with other channels such as paid social (Meta, TikTok, LinkedIn), display, programmatic, and affiliate channels are valuable
\nProven track record inheriting and meaningfully improving an existing paid acquisition program — not just maintaining, but finding new efficiency and growth levers
\nDeep fluency in performance measurement: you understand attribution models, incrementality, MMM basics, and can design experiments that produce actionable signal
\nStrong analytical skills — you're comfortable pulling your own data, building dashboards, and translating numbers into decisions without waiting for a data team
\nExperience marketing consumer or prosumer SaaS products with a product-led or freemium growth model at a high growth tech company
\nCreative instincts backed by data — you know how to brief creative teams and evaluate assets against performance goals, not just aesthetics
\nBenefits
\nCompetitive Salary & Equity
\n401(k) Program with a 4% match
\nHealth, Dental, Vision and Life Insurance
\nShort Term and Long Term Disability
\nPaid Parental, Medical, Caregiver Leave
\nCommuter Benefits
\nMonthly Wellness Stipend
\nAutonomous Work Environment
\nIn Office Set-Up Reimbursement
\nFlexible Time Off (FTO) + Holidays
\nQuarterly Team Gatherings
\nIn Office Amenities
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\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nDepartment
\nData Science
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance related bonus for eligible employees and benefits.
\nMore details about our benefits are available to candidates during the hiring process.
\nThis role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
\nAbout the Team
\nOpenAI’s Platform team powers how millions of developers and enterprises build with our models. We provide APIs and agentic solutions used by global startups and fortune 500s. We work closely with product, engineering, design, and go-to-market to build a world-class platform that pushes the frontier of AI capabilities.
\nAbout the Role
\nAs a Data Scientist on the Platform team, you will drive a data-driven culture for OpenAI’s API and B2B solutions. You’ll define the metrics that matter for developer success and enterprise value, measure the impact of new models and features, and partner with PMs and engineers to improve model quality, reliability, latency, and cost. Your work will shape how thousands of products adopt agentic AI.
\nThis role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
\nIn this role, you will
\nYou might thrive in this role if you have
\nYou could be an especially great fit if you have
\nAbout OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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