---
title: 'Data Solutions Engineer at Standard Metrics'
canonical: 'https://feeny.ai/job/data-solutions-engineer-standard-metrics-united-states-32559xhvkega'
type: 'job'
last_seen: '2026-09-12'
---

# Data Solutions Engineer at Standard Metrics

- **Company:** Standard Metrics
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/standardmetrics/jobs/4718932005

## Job description

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 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 at recruiting@standardmetrics.io.

## About Standard Metrics

## Company Overview
- **One-liner**: Standard Metrics is an AI-driven portfolio monitoring and reporting platform that centralizes financial data collection, analysis, and benchmarking for venture capital and private equity firms and their portfolio companies.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2019
- **Founders**: John Melas-Kyriazi (Co-Founder & CEO), Deny Khoung (Co-Founder & Head of Operations)

## Core Business
- Primary industry/industries: Financial Technology (Fintech) & Portfolio Management Software
- Target customers: Venture capital firms, private equity firms, and their portfolio companies (B2B, Enterprise)
- Mission or purpose statement: To accelerate innovation in the private markets by making financial data more accessible, auditable, and actionable for investors and founders.

## Products & Services
- **AI-Powered Data Collection**: An automated system with AI document parsing and human-in-the-loop QA that extracts financial data from board decks, financial statements, and integrates with accounting tools (QuickBooks, Xero) to reduce data collection time by up to 95%.
- **Centralized Dashboard & Analytics**: A single source of truth for portfolio metrics, offering custom and calculated KPIs, embedded BI for chart-building, and an Excel add-in for external analysis.
- **AI Analyst**: A natural language query tool that allows users to ask questions across their entire portfolio and receive instant, data-backed answers on performance, risk, and benchmarks.
- **MCP Server**: Connects to LLMs like Claude and ChatGPT via the Model Context Protocol to query portfolio data within existing workflows.
- **Benchmarking**: Allows firms to benchmark their portfolio against an aggregated, anonymized dataset of over 10,000 venture-backed startups.
- **Founder Portal**: A free platform for portfolio companies to streamline investor reporting, manage investor relationships, and receive a quarterly performance scorecard.
- **LP Reporting & Audit Support**: Institutional-grade tear sheets and reporting templates for LPs, plus audit trails to reduce billable audit hours.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total Funding of **$29.5M** across two rounds (Seed: $5.8M in 2020, Series A: $23.7M in 2022)
- **Notable Investors/Partners**: 8VC, Spark Capital, and other leading VCs and angels.
- **Growth Signals**: 
  - Manages **$400B+ in AUM** for VC/PE clients.
  - Serves **10,000+ companies** and tracks **20M+ company metrics**.
  - Trusted by top firms like **8VC** and **Munich RE**.
  - Headcount grew **17.4% year-over-year** to 68 employees.
  - LinkedIn followers grew **81.5% year-over-year**.
  - Job postings grew **25% year-over-year** and **66.7% quarter-over-quarter**.

## Competitive Advantages
- **Network Effects**: Data reported once for one investor auto-populates for others on the platform, reducing friction for portfolio companies and increasing stickiness for VCs.
- **AI + Human-in-the-Loop**: Combines AI document parsing with a managed data services team for audit-grade accuracy, distinguishing it from purely automated or manual solutions.
- **Founder-Friendly, Free Model**: The platform is free for portfolio companies, driving high adoption rates (100% response rate) and creating a strong data moat.
- **Comprehensive Benchmarking**: Access to an anonymized dataset of 10,000+ startups provides unique insights that standalone portfolio tools cannot offer.
- **Security & Compliance**: SOC 2 Type II and GDPR certified, with 256-bit encryption and proactive threat monitoring.

## Strategic Focus
- **Product Expansion**: Deepening AI capabilities (AI Analyst, MCP Server) to move beyond data collection into predictive analytics and workflow automation.
- **Network Growth**: Expanding the number of VC/PE firms and portfolio companies on the platform to strengthen network effects and the benchmarking dataset.
- **Customer Success**: Investing in expert implementation and support teams to ensure rapid time-to-value for new clients.
- **Data Interoperability**: Building more integrations (Excel, accounting software, LLMs) to embed Standard Metrics into existing workflows.

## Why Work Here
- **Remote-First Culture**: Standard Metrics is a remote-first company with physical offices in downtown San Francisco and New York City for those who prefer in-office work.
- **Strong Benefits Package**: Includes 100% coverage for medical, dental, and vision premiums for employees and dependents; 12 weeks of fully paid parental leave; unlimited PTO (with a minimum requirement); 401(K) managed by Accrue; a WFH stipend; and an annual learning & development stipend.
- **Team Building**: Company-wide off-sites and a yearly team building budget.
- **Growth Trajectory**: The company is in a high-growth phase with a 17.4% headcount increase and expanding product offerings, offering significant career development opportunities.
- **Engineering Culture**: A team of "optimistic product builders" focused on accelerating innovation, with a flat structure that values impact.
- **Current Open Roles (as of search date)**: Software Engineer (Backend), Account Executive, Customer Success, Financial Data Solutions, Event Marketer.

## Sources
1. [standardmetrics.io](https://standardmetrics.io/)
2. [standardmetrics.io/careers](https://standardmetrics.io/careers/)
3. [standardmetrics.io/faq](https://standardmetrics.io/faq/)
4. [linkedin.com/company/standardmetrics](https://www.linkedin.com/company/standardmetrics)
5. [theorg.com/org/standard-metrics](https://theorg.com/org/standard-metrics)

## Other roles at Standard Metrics

- [Community & Event Marketer](https://feeny.ai/job/community-event-marketer-standard-metrics-san-francisco-cj9kkn3zj01p) — San Francisco, CA
- [Software Engineer (Backend)](https://feeny.ai/job/software-engineer-backend-standard-metrics-united-states-ts1k8m1xrdfn) — United States
- [Mid-Market Account Executive](https://feeny.ai/job/mid-market-account-executive-standard-metrics-london-pvcp7jp80t8r) — London, United Kingdom
- [Product Designer](https://feeny.ai/job/product-designer-standard-metrics-united-states-7kp8qyen0nph) — United States
- [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-standard-metrics-san-francisco-2wsy56ndv1pd) — San Francisco, CA
- [Data Solutions Engineer](https://feeny.ai/job/data-solutions-engineer-evismart-vancouver-0z48ec0mpqtg) — Vancouver, Canada
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