Replit seeks a Mid-Market Account Manager to own relationships for an assigned customer portfolio, drive renewals and expansion, lead onboarding and adoption, maintain CRM data (HubSpot), and communicate customer feedback internally. Requires 3+ years in customer success, account management, or technical sales (SaaS or developer tools preferred) and strong communication, CRM proficiency, and interest/experience with AI and developer workflows.

Replit is hiring an Enterprise Account Executive based in the NYC (SoHo) office to manage full-cycle enterprise SaaS sales (new business and existing customer retention). The role requires strong communication, CRM proficiency (HubSpot), experience meeting sales quotas, product demonstrations, negotiation, and collaboration with product/engineering; travel up to 25% is expected.

Replit seeks a Mid-Market Account Executive based in the NYC office to drive full-cycle SaaS sales across new and existing customers. Responsibilities include prospecting, demos, deal negotiation, forecasting in HubSpot, collaborating with product/engineering, and supporting customer adoption; role requires strong technical communication, sales experience, and up to 25% travel.

Hybrid full-time role (San Francisco Bay Area, New York City, or Remote US) owning end-to-end technical relationships for strategic enterprise accounts: pre-sales discovery, live POVs, MCP integrations, enterprise governance, single-tenant/VPC architecture, and post-sales onboarding/enablement. Requires ~5-7+ years in solutions/sales/implementation/customer-success engineering at B2B SaaS or dev tools companies, strong coding ability (JavaScript/Python), knowledge of cloud and identity systems, and up to ~25-30% travel.

Remote (United States) senior role focused on refining and owning Reddit’s data storage and caching infrastructure to support hundreds of millions of users. Requires 5+ years building internet-scale software and experience with distributed storage, languages such as Golang/Python/C++/Java, and storage technologies like Postgres, MySQL, Cassandra, Redis, and Memcached.

Role requires an advanced quantitative degree and substantial industry experience (Ph.D. 6+ years or M.S. 10+ years). Responsibilities include driving product strategy via analysis, designing metrics and ETL, running experiments, building self-serve analytics, mentoring junior data scientists, and working cross-functionally with product, engineering, and design. Strong SQL, R/Python, statistical and causal inference skills are required. Position is US-remote friendly (US-based).

Mid-level generalist backend role on Reddit Ads. Responsibilities include designing and implementing advertiser-facing microservices and APIs, building distributed and real-time data systems, improving operational stability, and collaborating with product, platform, and data teams. Requires 3+ years of software development experience in languages such as Java, Scala, Go, C++, or Python.

Generalist senior backend engineer role on Reddit's Ads organization responsible for building microservices and APIs, distributed and real-time data systems, ad backends and interactive ad experiences. Technologies listed include Go, Python, Scala, Spark, Kafka, Postgres, BigQuery, Redis, Druid, Kubernetes, Argo and Docker. Requires 5+ years of software development experience. US-based remote; base salary range $190,800–$267,100 USD per year.

Reddit seeks a Senior Machine Learning Engineer to own end-to-end ML systems—from problem definition and feature engineering to training, deployment, and monitoring—focusing on recommendations, search/ranking, advertising systems, representation learning, and LLM/GenAI techniques. Requires production ML experience (3+ years), strong programming skills, and familiarity with ML frameworks and large-scale data/serving infrastructure.

Lead the Embeddings Platform team at Reddit to design, implement, and maintain large-scale embedding systems (graph neural networks, transformer/sequence models, foundational models). Responsibilities include platform architecture, enabling ML engineers and data scientists, driving scalable and reliable production ML systems, and growing a high-performing team through hiring and mentorship.

Senior Data Scientist role on the Ads Data Science team at Reddit (remote, US). Responsibilities include designing and applying ML and statistical models, analyzing large-scale datasets, defining metrics, running experimentation (A/B testing/causal inference), and mentoring junior data scientists. Qualifications call for an advanced quantitative degree and multiple years of applied data science experience; platform and large-scale data tools experience (Spark/Hadoop/Hive/BigQuery), plus proficiency in Python/R, SQL, and ML libraries are emphasized.

Lead the Ads Data Science strategy and roadmap, design large-scale statistical, econometric, causal and ML solutions (e.g., LTV, auction/auctioning, targeting, full-funnel models), partner with Product/Engineering/Analytics Engineering, and mentor senior data scientists. Requires an M.S. (12+ years) or Ph.D. (8+ years) in a quantitative field and advanced proficiency in Python or R and SQL.

Work on core P2P systems including invoice ingestion, approval workflows, payment orchestration, reconciliation, and extending the financial ledger for new transaction types and international payments. Role requires 3+ years 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, observability, and auditability. Collaboration with Product, Finance, Risk, and Data teams is required.

Responsible for architecting and owning systems for underwriting, automated limit management, portfolio optimization, and real-time risk controls. Requires backend experience (2+ years), proficiency in Python or a comparable backend language, experience with distributed systems and async frameworks, and building systems with strong auditability and observability. Relocation expense coverage to NYC or SF is mentioned; role is based in New York, NY (HQ).

Ramp's Applied AI team seeks a full-stack engineer to ship end-to-end AI projects and build infrastructure for production LLM inference and fine-tuning. Work includes AI Agents, RAG, structured extraction (jsonformer), internal tools for customer-facing teams, and scaling AI solutions across the platform.

Own end-to-end recruiting for multiple complex engineering searches: build targeted sourcing strategies, manage pipelines and data integrity, run processes with urgency, drive offers and negotiations, and lead initiatives to improve recruiting quality (interview loops, scorecards, interviewer training). Requires 5+ years in technical recruiting at a high-growth tech company, strong sourcing skills, experience hiring deeply technical engineering roles, AI tooling usage across the recruiting workflow, and strong communication and stakeholder influence skills. Relocation expense coverage to NYC or SF; benefits available to full-time employees.

Customer Activation Manager on the Partnerships team responsible for partner relationship management, partner enablement, and driving onboarding and activation of partner-referred customers. Role expects minimum 3 years of experience in customer success, partnerships, account management, or product operations. Locations listed: New York (HQ), San Francisco, and Toronto.

Join the Core Product team to design, build, and scale backend systems powering Ramp’s card and expense workflows (card issuance, spend limits, approvals, policy enforcement) and integrate with Ramp’s AI platform and external financial/ERP partners. Role requires owning projects end-to-end, strong backend fundamentals, and 2+ years of engineering experience; common tech includes Python, Go, TypeScript, PostgreSQL, AWS, and modern observability tooling. Relocation expense coverage to NYC or SF is offered if needed.

Partner with design leadership to define hiring needs and lead searches end-to-end for Product Design, Design Engineering, and Brand Design. Responsibilities include sourcing passive candidates via social and portfolio sites, building relationships through events and community engagement, improving hiring processes, and leveraging AI and recruiting tools. Requires 5+ years of recruiting or sourcing experience.

This role embeds with Ramp's most strategic enterprise customers to drive end-to-end implementation, change management, and adoption of AI-enabled finance workflows. The Customer Activation Manager will run executive stakeholder management, quantify Ramp's financial impact in CFO terms, collaborate with Sales, Technical Consulting, Product and Engineering, and use AI tools daily to operate at pace. The role requires 7+ years in enterprise customer success or implementations and strong fluency in communicating financial outcomes.