Standard Metrics is an AI-driven financial data platform that helps investors and their portfolio companies make more informed, forward-looking decisions with automated reporting and benchmarking tools. We’re a team of optimistic product builders on a mission to accelerate innovation in the private markets. Standard Metrics is backed by 8VC and Spark Capital, along with other leading VCs and angels, and is currently a trusted partner for many of the top VC/PE firms in the world.

Come Build With Us

The Data Solutions Engineer sits at the intersection of Customer Experience and Engineering at Standard Metrics. You'll be the dedicated technical owner for customer-facing data workflows, integrations, and AI-driven automation, while working across a book of customers to understand their data problems and build solutions that make Standard Metrics stickier and more impactful in their day-to-day workflows.

This is not a pure engineering role, and it's not a pure customer-facing role. You'll need both the technical depth to architect and execute solutions across APIs, SQL, data pipelines, and AI tooling, as well as the communication skills to work directly with customers to diagnose needs, set expectations, and deliver results. You'll be deeply embedded with our Data Solutions and Customer Success teams, acting as a technical extension of the customer.

This role is a foundational hire for a nascent services function at Standard Metrics. There's no established playbook here - you'll help write it. If you're energized by ambiguity, by the prospect of defining what "technical services" looks like for a product like ours, and by building something that didn't exist before, this is that opportunity.

What You’ll Do

Partner directly with customers to identify data challenges and design technical solutions - connecting data sources, configuring integrations, automating recurring workflows, and deploying custom reports
Deploy and optimize AI-powered tools and workflows for customers; educate customers and internal teams on prompt engineering, LLM capabilities, and best practices for leveraging AI in their data operations
Build and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden on the Customer Experience team and improve platform reliability
Execute bespoke data operations such as custom SQL reports, bulk data operations, and backend queries for customers with unique data needs
Own API schemas, ingestion cadence, error handling, Snowflake data shares, and database connections
Identify repeatable patterns across customers and translate them into product requirements, filing tickets and partnering with Engineering to productize solutions
Support internal engineering workflows as a secondary function by helping to triage and resolve quality-of-life bugs and enhancements that are too small for core Engineering but directly impact the Customer Experience team and customers
Carry a light book of data parsing work alongside your teammates to stay grounded in the team's day-to-day workflows and build supporting solutions

What You’ll Bring

3–5+ years of experience in a technical role with a customer-facing component - solutions engineering, data engineering, technical account management, or similar
Strong SQL skills and ability to write complex queries, perform ad-hoc data analysis, and work with relational data models
Proficiency in Python for scripting, data manipulation, and workflow automation
Hands-on experience with REST APIs: designing, consuming, and debugging integrations
Genuine curiosity about AI. Experience with prompt engineering, LLM-based workflows, or AI-forward tooling is a strong plus
Willingness to travel up to 60% of the time to work on-site with customers
Familiarity with modern data infrastructure such as Snowflake, dbt, or similar data warehouse and pipeline tools
Strong communication and ability to translate technical concepts clearly for non-technical stakeholders
Experience in B2B SaaS, ideally in fintech, venture capital, or private markets
High ownership mentality. You identify problems proactively and drive solutions without waiting to be asked
Confidence operating in ambiguity. You don't need a fully defined playbook to get started, and you're energized rather than unsettled by the prospect of helping build one
Bonus: experience with data integration tools (Zapier, n8n, Make, or similar), exposure to fund accounting and investment data workflows, or experience configuring MCP servers and AI agents
Finance and/or Computer Science degree strongly preferred

Health and dental insurance: We cover you and your dependents' medical/dental/vision insurance 100% in the USA. Internationally we match local health coverage for you and your family.

Flexible vacation: Take time off when you need it! We find most employees take 3-4 weeks in addition to holidays, but there are no firm rules. We trust our employees to know what's best for them.

Paid parental leave: 12 weeks of paid leave for all new parents in the USA. Internationally we match parental leave standards in your area.

Complete transparency: Everyone has full access to business metrics and financial information about the company.

Regular offsites: While we are a remote-first company and build our communication, processes, and structures with a dispersed workforce in mind, we also love getting the team together. On a recurring basis, we fly the whole team out to an exciting destination to plan, bond, and innovate.

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will thrive with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out atrecruiting@standardmetrics.io.

Standard Metrics remote jobs

Data Solutions Engineer

Product Designer

Software Engineer (Backend)