Responsible for architecting and evolving Reddit's embeddings platform (graph neural networks, transformer/sequence models, foundational models), driving high-impact projects, and building a high-performing team. Requires experience managing people (4+ years), and substantial production software and large-scale ML systems experience (8+ years).

Reddit is hiring a Senior Data Scientist for its Data Science team to drive product strategy for consumer (and other) areas through experimentation, causal analyses, metric design, and deep data analyses. The role requires advanced quantitative degree (MS/PhD) with 5+ years (MS) or 4+ years (PhD) industry experience, strong SQL and Python/R skills, and experience with A/B testing and causal inference. Location is US remote-friendly or at Reddit offices (SF, LA, CHI, NY).

Join Reddit's Ads Data Science team as a Senior Data Scientist (US-remote). You'll develop and apply machine learning and statistical methods to improve advertiser experience and ad platform performance, analyze large-scale datasets (Spark/Hadoop/Hive/BigQuery), design experiments and causal analyses, build ML models (scikit-learn, TensorFlow, PyTorch), communicate findings to stakeholders, and mentor junior data scientists. Requires an advanced quantitative degree (MS/PhD) with 4+ years (PhD) or 5+ years (MS) of industry experience. Base salary range: $190,800–$267,100 USD/year.

Reddit is hiring a Senior Client Account Manager (8-month fixed-term contract) to work with Client Partners and agency/client advertisers in Canada. Responsibilities include managing and launching campaigns, providing optimization recommendations, liaising with Ad Ops, analyzing campaign performance, driving revenue growth, and mentoring team members. Requires 7 years in advertising sales/account management and strong knowledge of digital measurement and marketing.

Remote (United States) Senior Analytics Engineer role on Reddit's Data Science team focused on Sales and Marketing. Responsibilities include stewarding Sales & Marketing data, architecting data collection, developing ETL/ELT pipelines and workflows, building dashboards and internal tooling, driving automation and self-service analytics, and mentoring colleagues. Requires an advanced quantitative degree and multi-year industry experience with large-scale ETL systems and tools such as Python, SQL, Spark, Airflow, and visualization platforms (Looker, Tableau, etc.).

Lead the design and long-term evolution of Ads Data Science solutions, leveraging statistics, econometrics, machine learning and causal inference to optimize Reddit's ads marketplace. Partner with Analytics Engineering, Product, and Engineering to drive measurement, prediction, optimization, and mentorship across the organization. Requires an M.S. (12+ years) or Ph.D. (8+ years) in a quantitative field and strong proficiency in Python or R and SQL.

Owner of AI-enabled developer platforms and tooling that accelerate engineer productivity across the company. Requires ~8+ years of software engineering experience, strong backend and infrastructure skills, Python proficiency, Bash/Unix fundamentals, and fluency with AI coding tools and agents. Relocation support to NYC or SF is offered as needed.

Work on core P2P systems connecting vendors, invoices, and payments, including invoice ingestion, approval workflows, payment orchestration, and reconciliation. Requires 3+ years of backend engineering experience (ideally in fintech/payments), strong Python and SQL skills, experience with data-intensive distributed and event-driven systems, and a focus on correctness, auditability, and reliability.

Build and own backend services for Ramp’s accounting platform, including syncs and a rules engine that process millions of transactions across card, bill pay, reimbursements, and treasury. Focus areas include distributed systems, data integrity, observability, auditability, and enabling AI-driven accounting features. Requires experience designing and maintaining distributed/transactional systems and working closely with accounting/product stakeholders. Relocation support to NYC or SF is available.

Join Ramp's Credit Engineering team to design and implement stateful, high-volume, low-latency systems for underwriting, automated limit management, and real-time decisioning. Requires 2+ years of backend engineering experience, proficiency in Python or similar, and experience with distributed systems, async frameworks, and building auditable, observable systems.

The Applied AI Engineer will ship end-to-end full-stack AI projects including AI Agents, RAG, structured extraction (jsonformer), fine-tuning, and build infrastructure for LLM inference and internal AI tooling. Role based in Ramp's New York (HQ) or San Francisco offices; relocation support to NYC or SF is provided.

Ramp is hiring a Technical Accounting Manager to draft and implement technical accounting policies, research and apply US GAAP for complex transactions, support financial statement preparation and audits, maintain internal controls, and support month-end close activities. The role reports to the Technical Accounting Senior Manager, requires an active CPA and at least 6 years of relevant experience (Big 4 audit/advisory preferred), and involves partnering with cross-functional teams including Engineering and Data.

Ramp is hiring a Technical Recruiter to manage multiple complex engineering searches end-to-end. Responsibilities include building targeted sourcing strategies, partnering with engineering leadership, managing pipelines and data integrity, driving offers and negotiations, and leading initiatives (interview loops, scorecards, interviewer training) to raise recruiting quality and speed. The role expects strong use of AI across the recruiting process, excellent communication, and a focus on candidate experience. Relocation support to NYC or SF is available as needed.

As a Bill Pay Specialist on the Customer Success team, you will own 1:1 onboarding and activation of micro‑SMB and SMB customers for Ramp’s Bill Pay and Procurement products, with a target to fully onboard customers within 60 days and under two calls. Responsibilities include implementation, troubleshooting, proactive outreach, partnering with Product to surface feedback, and identifying automation opportunities. Role is based in New York or San Francisco or Remote (US); relocation support to NYC or SF is offered.

Ramp is hiring a Customer Success Manager on the Partnerships team to own activation, growth, and retention of partner-referred customers. Responsibilities include partner relationship management, partner onboarding and enablement, and driving scalable customer activation. Requires minimum 3 years in customer success, partnerships, account management, or product operations; experience working with technical counterparts and familiarity with accounting partners and accounting software (QuickBooks Online, NetSuite, Sage, Microsoft Dynamics) is a plus.

Work on backend systems that power Ramp's card issuance, spend limits, approval workflows, and automation intelligence. Responsibilities include designing, building, and scaling services, integrating with internal AI and partner financial systems, and owning projects end-to-end. Role is based in New York, NY (HQ); relocation support to NYC or SF is mentioned.

Lead end-to-end recruiting for Ramp’s design organization, partnering with design leadership to define roles, source and engage passive talent, build community relationships, and improve recruiting processes. Requires 5+ years of recruiting or sourcing experience with a strong understanding of design hiring and experience leveraging AI in recruiting workflows.

Lead implementation-to-adoption journeys for Ramp's largest enterprise customers, build and execute change management strategies, run executive-level stakeholder engagement, quantify financial impact for CFOs, and use AI tools daily to operate at scale. Role requires 7+ years in enterprise customer success or implementations. Locations include US cities and remote Canada; posted salary ranges vary by location.

Hire for a Privacy-focused Security Engineer to design and implement privacy-centric application primitives, data retention and anonymization strategies, and partner with engineering and legal teams to keep systems aligned with evolving data-protection requirements. Requires a minimum of 4 years building software and at least 2 years focused on platform/privacy/security.

The Director of Performance Marketing will manage a team of channel leads, design frameworks for budget allocation, attribution, and forecasting, partner with Analytics/Product/Finance, drive creative experimentation to improve conversion rates, and identify and scale emerging channels. Requires 8+ years in performance marketing with 3+ years managing teams in high-growth B2B/SaaS/fintech and experience scaling large performance budgets.