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Standard Metrics
AI portfolio management for VC and private equity
Last verified August 26, 2026 · Updated daily
What Standard Metrics is building
Standard Metrics is the system of record for what a private-markets investor actually owns. Portfolio companies send in financials as PDFs, spreadsheets and email attachments; the platform ingests them automatically, normalises them, and turns them into portfolio performance and benchmarking data the firm can query. The recent product work is where the story gets interesting. AI document parsing handles the ingestion problem, an AI Analyst answers questions against the resulting dataset, and an MCP server exposes the whole thing to outside AI tooling. That last one is the strategic move. If a firm's portfolio data is reachable over MCP, then every agent that partner runs, in whatever client they prefer, can reason over real holdings instead of a stale export. Standard Metrics is positioning to be the data layer other tools call, not another dashboard competing for a tab. Scale backs the positioning: more than 150 firms managing over $400 billion in assets, over 10,000 portfolio companies covered, and roughly 30% of the current Forbes Midas List as customers. The business has grown about 20x since its Series A. Melas-Kyriazi's framing is the honest one: trillions of dollars of economic activity in private markets still runs on spreadsheets, email threads and PDFs.
Why this matters
Public markets have decades of standardised reporting infrastructure. Private markets have a quarterly email asking a founder to fill in a template, and an analyst retyping the answer. The asset class has grown enormously while its data plumbing stayed manual, and LPs are applying more pressure on reporting quality at exactly the moment firms are cutting back-office headcount. Document parsing is the piece that only recently became tractable. Extracting a reliable income statement from an arbitrary founder-formatted PDF was a genuinely unsolved problem until the current generation of models, and it is the gate on everything downstream: no clean ingestion, no benchmarking, no agent worth trusting. A company that already sits between 150 firms and 10,000 portfolio companies is holding the position where that unlock compounds.
Open roles at Standard Metrics
6 positions we're tracking. Roles are re-checked daily and removed when filled.
Software Engineer, Backend (US, Remote)
First seen today
Data Solutions Engineer (US, Remote)
First seen today
Product Designer (US, Remote)
First seen today
Account Executive (San Francisco)
First seen today
Account Executive (London, Remote)
First seen today
Event Marketer (San Francisco)
First seen today
Know when Standard Metrics is hiring before anyone else
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching Standard Metrics
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+Hiring outlook
Six roles are live on the Greenhouse board today across engineering, data, product, marketing and revenue, and the company explicitly stated the Series B funds team expansion. Post-round Series B hiring at a company growing 20x since Series A is about as reliable a window as this gets.
Working at Standard Metrics
Standard Metrics is AI portfolio management for VC and private equity, founded in 2020 and now people. What this means for you: opportunity to shape your role based on the company stage.
San Francisco, USA is where most Standard Metrics positions are located.
How to actually get hired at Standard Metrics
Why applying the normal way doesn't work
Standard Metrics has an ATS but the real pipeline is referrals → sourced → recruiter picks → cold apps. You can still get through, but know where you stand.
Who to contact at Standard Metrics
What to show them
Build an MCP server over a small synthetic portfolio dataset and make it answer a question that requires reconciling inconsistent reporting periods across companies, such as trailing revenue when one company reports calendar quarters and another reports a fiscal year offset by two months. The reconciliation logic is the hard part and it is exactly their problem.
A cold email that works at Standard Metrics
What Standard Metrics screens for
8VC did not just lead this round, it co-founded the company in 2020, and Alex Moore sits on the board. Salesforce Ventures joining alongside Spark points at a distribution thesis rather than a product one, because a firm's portfolio data wants to be reachable from the CRM and the agent layer, not admired inside its own dashboard. That is what the MCP server is for. Growing 20x since Series A with only about $50M raised in total means this is a capital-efficient company that has been picky about headcount, so six openings is a real six, not a funnel.
Tailor your CV to the specific Standard Metrics role rather than sending a general one. Applications that mirror the language of the job description clear automated filters at a materially higher rate.
Don't make these mistakes
Do not pitch John on the idea that private markets are underserved by software. He was a VC at Spark Capital from 2014 to 2019 and lived the problem from the buy side before building the fix, and he says the spreadsheets-and-PDFs line himself in press. Repeating his own thesis back at him is not insight. He is also a Stanford research scientist by training and has invested in over 40 companies, so hand-wavy AI claims will get taken apart. Skip anything that sounds like a demo of document parsing in general; at 10,000 portfolio companies the general case is solved and the hard part is the tail.
Mistakes that kill Standard Metrics applications
Don't send the same CV you sent everywhere else. At people it's obvious, and it's the fastest rejection there is.
Nobody cares what you want. Start with Public markets have decades of standardised reporting infrastructure and how you'd help.
Most AI applications get ghosted. A day-five follow-up can double your response rate.
Applying to Standard Metrics? Get the contact, not the form.
The Standard Metrics interview process
4 stages · 14 days typical · take-home: yes · modelled from similar companies
We don't yet have verified candidate reports for Standard Metrics. What follows is the typical process for a -person AI company — treat it as a model, not confirmed detail.
Interview stages
Recruiter Screen
Phone or video · 30 min
Basic qualification and logistics
Recruiter or HR
Hiring Manager Interview
Video call · 45 min
Role fit and experience deep-dive
Hiring manager
Technical/Functional Round
Video call · 60 min
Skills assessment and problem-solving
Team members
Final Round
In-person or video · 60 min
Culture fit and cross-functional alignment
Senior leadership
Standard Metrics take-home assignment
Standard Metrics includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
Standard Metrics interview timeline
Standard Metrics runs about days from first contact to offer. The median for AI companies at people is 14 days, so Standard Metrics is about average than most.
Interviewed at Standard Metrics?
Tell us how it went — stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
Submit your Standard Metrics interview experience →Standard Metrics jobs, frequently asked questions
How many jobs does Standard Metrics have open?
We're tracking 6 active openings at Standard Metrics (verified August 2026).
Does Standard Metrics hire remotely?
Currently, Standard Metrics only has in-office roles in San Francisco, USA.
What roles is Standard Metrics hiring for?
Standard Metrics is hiring across Engineering, Design, Sales, Marketing. The most recent opening is Software Engineer, Backend (US, Remote).
How do I apply for a job at Standard Metrics?
Click through to apply, or see our detailed guide on landing a job at Standard Metrics.
Does Standard Metrics respond to cold emails?
We haven't verified response rates at Standard Metrics yet.
Who is the hiring manager at Standard Metrics?
At this size, hiring is usually run by the hiring manager.
How competitive is it to get hired at Standard Metrics?
Roles at -person AI companies typically draw 100-250 applicants in the first two weeks. Applying inside 72 hours of a posting going live is the single biggest lever you control.
How many rounds is the Standard Metrics interview?
4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.
Is the Standard Metrics interview hard?
The interview emphasizes technical depth and system design over abstract problems. Hardest stage: Technical Interview.
Does Standard Metrics give a take-home task?
Yes, Standard Metrics includes a take-home assignment.
How long does Standard Metrics take to get back to you?
Around 14 days across the full process.
What should I prepare for the Standard Metrics interview?
Prepare for technical depth and system design. A -person startup wants proof you can ship, not that you can whiteboard.
Where is Standard Metrics based?
Standard Metrics is headquartered in San Francisco, USA.
Get Standard Metrics roles before they're posted
A role stays uncontested for about four days. Here's the window — and where we put you in it.
From $9/month, cancel any time.
Watching Standard Metrics
0 applicantsRole spotted & verified
1You get the alert
1You've applied
~8Hits the job boards
250+