# Senior Manager, Data Engineering at Turn/River Capital > Hybrid · United States · Manager · Data engineering · open. Source: https://alderhq.app/jobs/ashby%3Aturn-river%3Ab865211b-e09a-4105-b2a4-2d1586cffcc4 (read 2026-11-07). ## Facts (observed) - Company: [Turn/River Capital](https://alderhq.app/companies/turn-river-capital) - Location text: San Francisco, CA - Where it can be done from (inferred): Hybrid · United States (evidence: "Location: San Francisco, CA") - Posted: 2026-11-06 (0 days ago) - First seen by alder: 2026-11-06 · last verified: 2026-11-06 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/turn-river/b865211b-e09a-4105-b2a4-2d1586cffcc4 - Skills listed (inferred): Python, Snowflake, dbt, SQL, LLMs ## Pay and sponsorship - Posted pay: $228k–$238k per year (from the description) - Market band for similar posted roles (SF Bay Area, n 6): p25 $281k, median $341k, p75 $466k ## Description (the employer's text) ### About Turn/River Turn/River Capital is a private equity firm that partners with software businesses to drive AI transformation and catalyze capital-efficient growth. As a team of equal parts software operators and investors, we have the people, data-driven playbooks and flexible capital to re-architect engineering, product, go-to-market, talent and resourcing to build enduring value. Founded in 2012 and based in San Francisco, Turn/River has $5.6bn in committed capital and invests globally with a focus on North America and Europe. ### About the Role We’re looking for a Senior Manager, Data Engineering to design, build, and scale the data infrastructure that powers analytics across Turn/River’s portfolio. You’ll lead the evolution of our data platform, ensuring our systems are connected, reliable, and ready for AI-driven insight generation. Your near-term focus will be strengthening marketing data pipelines (Ads, GA, HubSpot, Salesforce), while your long-term remit spans the entire data org: defining standards, improving scalability, and enabling data-driven execution across all functions. This role is highly collaborative within Turn/River and across our portfolio companies. You’ll partner closely with Marketing, RevOps, and Analytics leaders to build a unified, AI-ready data foundation that supports marketing analytics today and scales to all go-to-market functions over time. ### Key Responsibilities Data Platform Ownership: Lead the design, maintenance, and scalability of the portfolio’s BigQuery data platform and ETL/ELT pipelines. Marketing Data Integration: Partner with Marketing, RevOps, and Analytics Leads to unify GTM systems (Ads, GA, HubSpot, Salesforce) into reliable revenue-linked funnel models. Data Architecture & Modeling: Build standardized schemas and dbt packages to support analytics consistency across dozens of companies. Quality & Governance: Implement CI/CD, data validation, and tagging standards that ensure accuracy and trust. AI Workflows: Design and implement LLM-powered workflows (prompt engineering, RAG, agent-based automation) to streamline content generation, campaign optimization, and performance analysis. Team Leadership: Mentor junior data engineers and analysts, foster engineering best practices, and lead knowledge-sharing across the portfolio. Platform Roadmap: Define and execute a 12–24-month roadmap evolving the platform toward near-real-time flows, identity resolution, and modular reuse. Cross-Functional Collaboration: Partner with Analytics and Systems teams to turn fragmented data into actionable insight and scalable automation. ### Qualifications 5+ years of data or analytics engineering experience, including ownership of production-grade ELT/ETL systems. Deep expertise in SQL and Python, with hands-on experience using dbt, Fivetran, Airbyte, or Matillion. Advanced proficiency in BigQuery (preferred) or Snowflake and modern cloud-based architecture. Proven ability to design scalable data models and enforce engineering best practices, including Git-based workflows and CI/CD automation. Experience integrating GTM systems (Ads, HubSpot, Salesforce, GA4) and building reliable revenue-linked pipelines. Demonstrated success leading complex data projects and mentoring technical contributors. Exceptional communicator who can bridge technical detail with business context and cross-functional impact. Bachelor’s degree in a quantitative field (Computer Science, Engineering, Statistics, Mathematics, or Business Analytics) or equivalent professional experience. Intellectually curious, systems-minded, and detail-obsessed — passionate about building scalable, reusable, and future-proof data infrastructure that drives portfolio growth. ### Location San Francisco, hybrid work model. ### Compensation The annual base salary range for this role is $227,500 - $237,500, taking into account numerous variable factors that are considered in making compensation decisions including but not limited to skill sets, experience, training, licensure, certifications, and organizational requirements. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aturn-river%3Ab865211b-e09a-4105-b2a4-2d1586cffcc4 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.