---
title: 'Software Engineer, Product at Metaview'
canonical: 'https://feeny.ai/job/software-engineer-product-metaview-san-francisco-mtqd1kvnqrqe'
type: 'job'
last_seen: '2026-09-14'
---

# Software Engineer, Product at Metaview

- **Company:** Metaview
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-14
- **Apply:** https://jobs.ashbyhq.com/metaview/4af6dfc4-3296-41b9-9e1a-8b21c8b54246

## Job description

You are a software engineer first. You want that craft pointed at a customer outcome. Product ownership at Metaview raises the technical bar. You will make architectural tradeoffs, build the consequential parts, and operate what you ship. You will also talk directly to customers and decide what should exist, rather than receive those decisions through a roadmap. Your formal title may have been Software Engineer or Senior Software Engineer. What matters here is that you want product judgment to be part of the engineering job.

Coding was first. Recruiting is next. We are building it. Metaview is an applied AI lab building AI coworkers for some of the world’s most ambitious recruiting teams. Hear directly from our [customers](https://www.metaview.ai/customers/wall-of-love). The challenge is not another chatbot. It is software that can pursue a hiring objective, act across real workflows, ask for judgment at the right moment, and earn a customer’s trust. Founded by Siadhal Magos and Shahriar Tajbakhsh, who scaled Uber and Palantir, we have raised more than $50M and are growing 5x year over year. AI coding agents are part of the job, not a perk. Engineers routinely run several in parallel for exploration, implementation, and review. We assess both sides of the craft: how well you direct agents and how well you reason, code, and debug on your own. One interview exercise is completed without AI.

Our operating value is velocity Velocity means reducing the time from customer evidence to a reliable product change. It does not mean trading away quality. We ship small changes daily, including Fridays, because the engineer who ships owns production behavior, recovery, and the next revision. Process stays light because customer context and ownership are direct. You will not wait for a complete specification or a handoff between disciplines. You will get close to the customer, choose a direction, build the consequential layers, and use production behavior to decide what happens next. AI agents help our small team ship roughly 8x more product changes than a year ago. The engineer remains accountable for architecture, review, implementation quality, and production behavior.

## What you will build and own

You will work on problems such as:

- building agents that can pursue recruiting objectives over days, know when to ask for judgment, and recover safely when a model or tool fails;
- turning interview and hiring-team conversations into actions, with interfaces that let recruiters understand, correct, and trust the result;
- making architectural tradeoffs across the interface, APIs, data model, permissions, and production behavior of the same workflow;
- designing controls and recovery paths for agents acting in customer systems; and
- turning repeated product patterns into simple primitives that support many recruiting workflows.

In your first 3 to 6 months, you should independently own and ship a bounded customer outcome from problem definition through rollout and iteration. The size of that outcome will reflect your level, but the operating model is the same: make product and technical decisions, contribute the consequential code, and own the production result.

You will probably thrive here if

- You have personally shipped software for external users and owned a meaningful outcome from problem definition through production.
- You have real depth in at least one technical area and can cross product, frontend, and backend boundaries when the outcome requires it.
- You use AI coding agents heavily and can still design, implement, review, and debug independently.
- You want direct customer contact, hands-on implementation, and responsibility after launch.
- You care deeply about architecture, correctness, and technical craft, but judge them by the product they enable.
- You want product judgment to be part of software engineering, not something delivered through a roadmap.

This opening spans mid-level and staff+ scope under the same hands-on operating model. At mid-level, you will independently own a bounded customer outcome across product and implementation. At staff+, you will still write code while setting direction for a broader area, making hard architectural tradeoffs, and raising the quality of decisions around you. We level on demonstrated scope, not years served. This is a hands-on product IC role. It is not a people-management or model-research role. Our stack includes React, TypeScript, Python, AWS, Postgres, and S3. Experience with these exact technologies is not required.

## What you want to know

- We work together in person in San Francisco. This is not a remote role with occasional office attendance. Decisions are made by the people closest to the customer and the code. Read our [unfiltered Slack](https://www.metaview.ai/careers#slackbook) to see how that works in practice.
- We pay in the top 10% of the SF market through salary and meaningful equity. We re-benchmark against the market twice a year and adjust when compensation drifts.
- Our process is fast and direct. It is not unusual to hear back the same day.
- Metaview’s internal IC title is Member of Product Staff, Engineer. For this opening, level and compensation are set at mid-level or staff+ based on demonstrated scope. The work remains hands-on at every level.
- We offer competitive option grants so we are all owners.
- We sponsor work visas and support the immigration process from start to finish.
- In the US, we cover 100% of medical, dental, and vision premiums for you and your dependents.
- Time off is unlimited. Take the time you need.

## About Metaview

## Company Overview
- **One-liner**: Metaview builds AI agents that automate and augment the hiring process, from sourcing and screening to interviewing and reporting, for world-class recruiting teams.
- **Entity Type**: Private (Series B)  
- **Headquarters**: London, United Kingdom  
- **Founded**: 2018  
- **Founders**: Siadhal Magos and Shahriar Tajbakhsh  

## Core Business
- **Primary Industry**: AI-native recruiting software / talent acquisition technology  
- **Target Customers**: B2B – recruiters, hiring managers, and talent teams at fast‑growing startups and Fortune 500s (e.g., Brex, Affirm, Deel, ElevenLabs, Airtable)  
- **Mission**: Re‑engineer hiring with AI at the core, making it radically more efficient and precise  

## Products & Services
Metaview offers a suite of five integrated AI products designed to cover the full hiring workflow:

- **[Notetaker](https://support.metaview.ai/get-started/what-is-metaview)**: Automatically captures interview conversations and generates structured, customisable notes – freeing recruiters to focus on candidates.  
- **[Sourcing](https://www.metaview.ai/)**: An always‑on AI sourcing agent that continuously searches for high‑fit candidates and handles outreach with a tone tuned to the company’s voice.  
- **[Application Review](https://www.metaview.ai/)**: Reviews every inbound application against role criteria, surfaces the strongest matches, and explains why – reducing manual sifting.  
- **[Reports](https://www.metaview.ai/)**: A customisable reporting engine that surfaces trends (e.g., salary expectations, AI fluency) to power talent strategy.  
- **[Job Posts](https://support.metaview.ai/get-started/what-is-metaview)**: Instantly drafts and maintains job descriptions based on intake calls and requirements.  

Additionally, Metaview launched **fillmore**, an autonomous AI coworker that finds, outreaches, and schedules screening calls without human intervention.

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed  
- **Key Metric**: Total funding raised – **$50.8 M** ([LinkedIn](https://www.linkedin.com/company/metaview-technologies)) across four rounds; latest Series B in June 2025 led by Google Ventures. Annual revenue estimated at **$3.1 M** (2025 data).  
- **Notable Investors & Partners**: **Google Ventures** (led Series B), **Plural** (led Series A), **Fly Ventures**, **Village Global**, **Vertex Ventures**  
- **Growth Signals**:  
  - Headcount grew **114 % YoY** to 62 employees, with active job postings up **76.9 %** ([LinkedIn](https://www.linkedin.com/company/metaview-technologies))  
  - Over **2 million conversations** captured; **92 % of users** report better hiring decisions ([metaview.ai](https://www.metaview.ai/careers))  
  - Operates in 7 countries (UK, US, France, India, Canada, Malaysia, Netherlands)  

## Competitive Advantages
- **AI‑Native, End‑to‑End Platform**: Unlike point‑solution note‑takers, Metaview’s agents share a single context layer across the entire hiring workflow – from sourcing to reporting.  
- **Enterprise‑Grade Guardrails**: Full audit trails, compliance alerts, and configurable rules that keep AI aligned with company policies.  
- **Velocity‑First Culture**: The company embraces speed as a compounded advantage, shipping raw and iterating fast – enabling rapid feature development.  
- **Top‑Tier Backing**: Backed by Google Ventures and other elite funds, providing strategic credibility and recruiting network.  

## Strategic Focus
- **Agentic Recruiting**: Transitioning from a note‑taking tool to an autonomous platform where AI agents proactively source, screen, engage, and schedule candidates.  
- **Expanding the AI Coworker**: Continued investment in autonomous agents like *fillmore* that handle complete recruitment loops without human hand‑offs.  
- **Deepening Enterprise Context**: Building shared knowledge layers so recruiters, hiring managers, and AI agents stay aligned on criteria and candidate evaluations.  

## Why Work Here
- **High‑Growth Stage**: With $50 M+ in funding, 114 % headcount growth, and a clear product‑market fit, Metaview offers the thrill of scaling a category‑defining platform.  
- **AI at the Core**: Engineers and operators get to work on cutting‑edge LLM applications that touch every part of the hiring process.  
- **Culture of “Velocity That Compounds”**: The company prizes fast learning, focused work, and shipping product quickly – ideal for those who thrive in a high‑ownership, low‑bureaucracy environment.  
- **Global & Remote‑Friendly**: Teams spread across the UK, US, France, India, Canada, Malaysia, and Netherlands; roles range from in‑office to remote.  
- **Impactful Mission**: Every feature directly helps teams hire better – a leverage point many employees find deeply rewarding.  

## Sources
1. [metaview.ai – Careers page](https://www.metaview.ai/careers)  
2. [metaview.ai – Homepage](https://www.metaview.ai/)  
3. [LinkedIn – Metaview Technologies](https://www.linkedin.com/company/metaview-technologies)  
4. [support.metaview.ai – What is Metaview](https://support.metaview.ai/get-started/what-is-metaview)  
5. [jobs.gv.com – Metaview at GV](https://jobs.gv.com/jobs/metaview)

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