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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.

Work on Reddit's storage and caching infrastructure serving hundreds of millions of queries per second and hundreds of terabytes across thousands of machines. Responsibilities include designing and maintaining data storage systems (reads/writes), building tooling and automation for operations, collaborating with ML/AI/Search stakeholders, and mentoring other engineers. Requires 5+ years building internet-scale software and experience with languages such as Golang, Python, C++, or Java.

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.

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.

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).

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.

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 developer tooling and AI DevX platforms at Ramp: evaluate and integrate AI models/tools, build platforms that enable AI-driven engineering, gather developer feedback, and grow vendor partnerships. Role expects ~8+ years of software engineering experience, Python proficiency, strong backend/infrastructure and data systems expertise, and familiarity with AI coding tools and agents.