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.

Sell Stripe's Banking-as-a-Service products (Issuing, Capital, Treasury) to a range of customers (SMBs, startups, digital natives). Own territory planning and outbound outreach, develop qualified pipeline, lead complex negotiations and executive-level discussions, and collaborate with product/engineering and GTM teams to inform product roadmap and go-to-market playbooks.

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 to own relationships for an assigned enterprise portfolio, drive renewals and expansion, lead onboarding to accelerate time-to-value, maintain customer health and renewal forecasts in HubSpot, and surface customer feedback. Ideal candidates have 3-5+ years in customer success or enterprise account management (preferably in SaaS or developer tools), strong communication and technical aptitude, and experience with CRM and customer success tools.

Replit is hiring a Mid-Market Account Manager based in the NYC office to own relationships, drive retention and expansion, lead onboarding and product adoption, execute renewals, maintain customer health and forecasting in HubSpot, and surface customer feedback. Requires 3+ years in customer success, commercial account management, or technical sales (preferably SaaS or developer tools) and strong communication and CRM experience.

Replit is hiring an Enterprise Account Executive based in NYC (SoHo). This full-time, in-office role focuses on new client acquisition and existing customer support/retention across segments and geographies. Responsibilities include evangelizing Replit's platform, serving as primary contact for prospects/customers, conducting product demonstrations, orchestrating non-engineering hackathons, preparing quotes and negotiating deals, maintaining CRM data (HubSpot), collaborating with product and engineering, and optimizing customer adoption. Ideal candidates have AE or SE/technical sales experience (preferably in SaaS or developer tools), strong communication skills, CRM proficiency, a track record of meeting sales quotas, and an interest in AI/ML. Travel up to 25% is required.

Replit seeks a Mid-Market Account Executive in New York City for a full-time, in-office role. Responsibilities include prospecting, product demonstrations, negotiating and closing deals, managing and expanding existing accounts, maintaining CRM data (HubSpot), and collaborating with product/engineering. Ideal candidates have AE or technical sales experience in SaaS or developer tools, strong communication skills, CRM proficiency, and an interest in AI/ML. Travel up to 25%.

Hybrid pre-sales and post-sales role owning end-to-end technical relationships with strategic enterprise customers: technical discovery, live POCs, MCP server deployment, SSO/SCIM provisioning, VPC/single-tenant reviews, onboarding, enablement, and driving adoption/expansion. Requires 5+ years in technical customer-facing roles at B2B SaaS or dev tools companies; up to ~25-30% travel and 2-week onsite onboarding in Foster City, CA.

Lead consumer-focused data science to inform product strategy by identifying opportunities, designing metrics, driving experimentation (design through analysis), building ETL and self-serve tools, and mentoring junior data scientists. Requires an advanced degree (MS with 10+ years or PhD with 6+ years), expert SQL, familiarity with Python/R, causal inference, strong communication with senior stakeholders. Base salary range listed: $217,000–$303,900 USD per year.

Reddit is hiring a mid-level backend engineer for the Ads organization to build and maintain microservices, APIs, distributed and real-time data systems that power ads.reddit.com and interactive ad experiences. Responsibilities include collaborating with product, platform and data teams, improving operational stability, delivering dashboards and building extensible components. Requires 3+ years of software development experience. Base salary range listed: $164,200–$229,900 USD per year.

Reddit seeks a mid-level backend engineer for its Ads organization (remote, Ontario, Canada listed). Responsibilities include building microservices and APIs, distributed and real-time data-intensive systems, and collaborating with product and platform teams. Tech stack includes Go, Python, Scala, Spark, Kafka, Postgres, BigQuery, Redis, Druid, Kubernetes, Argo and Docker. Requires 3+ years of software development experience.

Mid-level backend engineer role within Reddit's Ads organization working on microservices, APIs, distributed and real-time data systems for advertiser-facing products. Technologies listed include Go, Python, Scala, Spark, Thrift, Baseplate, Kafka, Postgres, BigQuery, Redis, Druid, Kubernetes, Argo, and Docker. Responsibilities include feature ownership, collaborating with product/platform/data teams, improving operational stability, and building extensible components.

Work on Reddit's first-party GraphQL API layer: design, build, and operate a Go-based federated GraphQL platform at massive scale. Responsibilities include improving functionality, scalability, observability, and developer tooling; tuning for latency and resilience; mentoring teammates; and sharing on-call duties. Requires 5+ years building large-scale distributed backend systems; Go preferred; experience with Kubernetes, CI/CD, and AWS/GCP.

Generalist senior backend engineer on Reddit's Ads organization. Work includes building microservices and APIs for advertiser products, distributed and real-time data-intensive systems, interactive ad backends, and infrastructure using Go, Python, Scala, Spark, Kafka, Postgres, BigQuery, Redis, Druid, Kubernetes, Argo, and Docker. Requires 5+ years of software development experience.

Design, implement, and operate end-to-end production ML systems including large-scale data pipelines, model training, serving, monitoring, and automated retraining. Work cross-functionally to improve ranking, recommendation, search relevance, advertising systems, and LLM-powered products. Requires 3+ years building and deploying ML systems, strong software engineering skills (Python/Java/Go), experience with ML frameworks (PyTorch/TensorFlow), and familiarity with large-scale data and real-time systems.

Work involves designing, building, and deploying production-grade ML models and infrastructure (recommendation, search/ranking, ads, content/user understanding, LLM applications). Requires 3+ years building and operating ML systems, strong programming (Python/Java/Go), experience with ML frameworks (PyTorch/TensorFlow), ML algorithms (XGBoost, Transformers, GNNs), and large-scale data/pipeline tooling. Base salary range listed: $216,700–$303,400 USD per year.

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).