Data Solutions Engineer, Standard Metrics
Portfolio management and collaboration solutions
Be an early applicant
Portfolio management and collaboration solutions
21-100 employees
Be an early applicant
21-100 employees
Company mission
To accelerate innovation in the private markets.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
For startups, finding a successful business model and streamlining investors is often the key to building a scalable company. But without early backing from investment organisations and entrepreneurs, many companies fail to get off the ground and don't reach the potential they could have achieved given the right funding.
Standard Metrics (formerly known as Quaestor) is an investment platform for startups and investors in the private capital markets. Using automated data, Standard Metrics is enabling financial transparency between startups and investors and empowering founders to make better decisions when scaling their companies.
Having led successful funding rounds with investors such as 8VC, Alpha Edison, January Capital, and First Trust Capital Partners, Standard Metrics is using the capital gained to further develop its software platform and scale its network of investors and private companies, both domestically and internationally.
Steph
Company Specialist at Welcome to the Jungle
Insights
29% employee growth in 12 months
Company
Company benefits
- Medical, Dental, and Vision: 100% coverage for you and your dependents' premiums
- Paid Parental Leave: 12 weeks full pay to care and bond with a new child
- Remote-First Work Model: We are a remote-first company, but you can always drop by our offices in downtown SF or NYC. In-office lunch provided!
- Unlimited PTO: Flexible and guilt-free unlimited Paid Time Off. We even have a minimum!
- Team Building: Company wide off-sites and a yearly team building budget
- WFH Stipend: One time stipend to complete your work from home station
- Retirement: 401(K) managed by Accrue
- L&D Stipend: Annual stipoend to support your professional development
Company HQ
Northern Waterfront, San Francisco, CA
Leadership
John Melas-Kyriazi
(Co-Founder & CEO)Previously the CFO & Head of Business Development at StartX. Also an experienced Angel Investor having invested in Capella Space, SoundHouse, Wildtype, Andela and Clipboard Health among others.
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