Lead complex, often ambiguous global programs for Risk Operations, partnering with Risk Product, Policy, Engineering, and Data Science to design and execute initiatives that improve operational processes, prevent abuse, and enhance user experience. Role requires end-to-end program management, data-informed decision making, and at least 6 years of relevant experience.

Join Stripe's Product Marketing team to develop messaging and positioning, drive go-to-market strategy and campaigns, enable sales, and grow product adoption across products like Payments Intelligence, Payouts, Tax, Billing, and Link. Requires 7+ years of product marketing experience and strong communication and data-driven skills. Locations include San Francisco, New York, Seattle, Chicago, Toronto, and Remote.

Owner of end-to-end development, launch readiness, and ongoing support for commercial programs within Stripe's Global Business Services Commercial Solutions team. Requires program management experience, commercial/pricing knowledge, change management skills, cross-functional collaboration, and stakeholder leadership. Preferred experience includes product launch oversight, payments industry background, MBA, or program management certification (PgMP/PMP).

Work on core infrastructure and related platform teams at Stripe to design, build, test, and ship backend systems. Responsibilities include building internal and external customer-facing infrastructure, debugging production issues across the stack, and collaborating on roadmaps. Minimum requirement: 2+ years professional software development experience and hands-on experience with large-scale distributed systems.

Build, scope, and maintain APIs and large-scale backend services for payments, balance management, and funds accessibility; debug production issues; collaborate across engineering and product teams; mentor engineers. Minimum 2 years industry software engineering experience.

Responsible for driving revenue and new client acquisition for Stripe's BaaS products (Issuing, Capital, Treasury). Role requires building territory plans and outbound pipelines, leading product discussions with customers and cross-functional teams, negotiating complex agreements, and relaying customer feedback to influence product roadmap. Minimum 10 years customer-facing experience at a technology or payments company.

Stitch Fix invites candidates to join a styling talent community to receive regular newsletters and be among the first notified when styling roles open. The opportunity is remote within the USA; Stitch Fix is currently not hiring stylists in Alaska, California, Colorado, Connecticut, Hawaii, Illinois, Maine, Massachusetts, Montana, Nevada, New Jersey, New York, Oregon, Pennsylvania, Rhode Island, Vermont, Washington, and all non-state US territories. The posting references Stitch Fix's US Applicant Privacy Policy and includes a recruiting fraud alert with official application URLs.

SeatGeek is hiring a Senior Software Engineer to build and operate containerized, service-oriented systems (backend and frontend) for a high-traffic ticketing marketplace. The role involves shipping code frequently, solving performance and scaling challenges, and working across teams. Tech mentioned: Python (FastAPI), Go, C#, React+TypeScript, Swift, Kotlin, AWS, Kubernetes, Kafka, Flink, Airflow, Temporal, Postgres/Aurora, ElastiCache, OpenSearch, DynamoDB. Salary range: $144,000–$209,000 USD/year.

Join a team bridging research and production to build ML infrastructure (feature stores, model serving, real-time inference) and deploy models at scale. The role embeds with product engineering teams to translate experimental models into production-ready systems and solve domain problems like pricing optimization, demand forecasting, and fraud detection. Requires strong software engineering and production ML experience.

Replit is hiring an Enterprise Account Manager (in-office, NYC) to own customer relationships across onboarding, adoption, renewals, and expansion. The role requires 3+ years in Customer Success/Enterprise Account Management or technical sales (preferably SaaS or developer tools), strong communication and CRM experience (HubSpot), and familiarity or interest in AI and developer workflows.

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.

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.

Mid-level backend engineer role on Reddit Ads teams (e.g., Ads ML Serving, Attribution & Identity, Ads Growth, Business Manager). Work includes building microservices/APIs, distributed and real-time data systems, and infrastructure for ad products using technologies such as Go, Python, Scala, Spark, Kafka, Postgres, BigQuery, Redis, Druid, Kubernetes, Argo, and Docker. Requires 3+ years of software development experience.

Generalist mid-level backend role in Reddit's Ads organization. Responsibilities include designing and implementing ads products and microservices, collaborating with platform and data teams, improving operational stability (code quality, dashboards), and building extensible components. Technologies mentioned: Go, Python, Scala, Spark, Thrift, Baseplate, Kafka, Postgres, BigQuery, Redis, Druid, Kubernetes, Argo, Docker.

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 is hiring a Senior Machine Learning Engineer to own end-to-end ML systems including model development, scalable data and model pipelines, model serving, and monitoring. The role focuses on recommendations, search/ranking, advertising systems, representation learning and LLM/Gen AI techniques, and requires production ML experience, strong software engineering skills, and familiarity with modern ML frameworks and large-scale data processing tools.

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.