---
title: 'Senior Developer Productivity Engineer at Laurel'
canonical: 'https://feeny.ai/job/senior-developer-productivity-engineer-laurel-united-states-5vvk4bfsh8h6'
type: 'job'
last_seen: '2026-09-25'
---

# Senior Developer Productivity Engineer at Laurel

- **Company:** Laurel
- **Location:** United States
- **Compensation:** $224k–$255k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-22
- **Last confirmed live:** 2026-09-25
- **Apply:** https://jobs.ashbyhq.com/laurel/84f20daa-3507-4279-a65d-fef4730758e2

## Job description

Laurel is on a mission to return time. As the leading AI Time platform for professional services firms, we’re transforming how organizations capture, analyze, and optimize their most valuable resource: time. Our proprietary machine learning technology automates work time capture and connects time data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven strategic decisions. We serve many of the world's largest accounting and law firms, including EY, Aprio, Crowell & Moring, and Frost Brown Todd, and process over 1 billion work activities annually that have never been collected and aggregated before Laurel’s AI Time platform.

Our team comprises top talent in AI, product development, and engineering—innovative, humble, and forward-thinking professionals committed to redefining productivity in the knowledge economy. We're building solutions that empower workers to deliver twice the value in half the time, giving people more time to be creative and impactful. If you're passionate about transforming how people work and building a lasting company that explores the essence of time itself, we'd love to meet you.

## About the Role

As a Productivity Engineer at Laurel, you’ll design, build, and deploy AI-powered systems that multiply the effectiveness of our Engineering teams.

You’ll work with engineers in many departments - Frontend, Backend, AI/ML, Infrastructure, and FDEs - to learn their workflows, find pain points, and improve processes to increase throughput quality and quantity.

You’ll be testing the latest software development offerings from frontier labs, infrastructure providers, hyperscalers, and neoclouds, to find out what’s worth adopting and how to fit it into our organization. Setting up the latest thing isn’t enough - you’ll need to understand tool capabilities, find the extensible edges, and build connective tissue. Given the high pace of this field, you can expect to work on a high volume of projects that get completed, released, and then re-architected a few months later. You should be excited by questions like:

- How do we measure performance of increasingly complex, opaque, and non-deterministic systems?
- How do we decide what tradeoffs to make across cost, speed, and quality?
- What are the weak points at the edges of the best AI systems? What is AI likely to still be bad at next quarter, or next year?
- How do we measure the entire chain of value creation from our engineers to satisfied users? How do we accelerate every phase of that chain?
- How do we invest in projects we won’t need to completely scrap in 6 months, when the tide of frontier models continues to rise?

What You’ll Do:

- Work directly with Laureates and leadership to know what to measure, build, and buy.
- Interface with engineering teams to learn the many ways work happens at Laurel.
- Partner with teams and ICs to teach new tools, collect feedback and iterate.
- Designing systems which can be consumed equally by both human and agent users.
- Create new CI/CD pipelines for extreme throughput and agent interactivity.
- Work on multiple application platforms, both for our external product and internal usage.
- Be responsible for distribution and adoption; learning how to make tools people want to use.
- Collect feedback, through word of mouth and technical telemetry, to maintain situational awareness and iterate.
- Stay on top of industry news and trends in the fastest moving sector of technology; hone opinionated instincts on what to pursue and what to ignore.

## What We're Looking For

We’re looking for engineers who combine strong technical fundamentals with exceptional ownership and execution. You may be a fit if you:

- Have 4+ years of experience in Platform, Infrastructure, DevEx, or DevOps roles
- Can independently architect and ship complex systems with minimal oversight
- Have experience with APIs, distributed systems, cloud infrastructure, and data-intensive applications
- Experience building with agent primitives: Skills / MCPs / Hooks, SDKs, multi-agent systems, routing, context and cost management.
- Experience using configuration management tools like Nix / NixOS, homebrew, or MDM tools.
- Thrive in ambiguous environments where requirements evolve quickly
- Can communicate clearly with both engineers and non-technical stakeholders
- Care deeply about speed, iteration, and customer impact

The following are non-negotiable requirements:

- Experience with Kubernetes and AWS.
- Development experience with Terraform, Go and Typescript.
- Experience working in startup environments
- Significant experience with Linux administration
- Familiarity with Git
- Experience with taking part in a regular engineering oncall rotation
- Experience with any CI tooling/platforms

Nice to haves The following are things that we are looking for in a standout candidate and would help make this role a perfect fit. These are not requirements, but they tend to correlate strongly with success in this role:

- Startup experience or early-stage product building
- Experience deploying AI systems into enterprise environments
- Strong systems engineering or infrastructure background
- Experience integrating with third-party enterprise systems and APIs
- Familiarity with authentication systems, security constraints, and enterprise IT environments
- Experience debugging production issues in unfamiliar codebases
- History of shipping quickly under real-world constraints
- Comfort balancing rapid iteration with long-term engineering quality
- Experience with our specific technology stack: Argo, cdk8s, Open Telemetry & Observe, MongoDB and Postgresql, Spacelift, CircleCI and/or GitHub Actions

What Success Looks like Successful Productivity Engineers at Laurel:

- Earn deep trust with engineers.
- Creating powerful tools users can extend themselves.
- Minimizing learning curves and adoptive friction by creating systems that are easy to interact with.
- Operate with urgency while maintaining strong engineering judgment.

## Why This Role Matters

At Laurel, we believe we can multiply the power of the individual by arming them with the best possible tools. We do it externally for our users, and we do the same internally for our teammates. This role is ideal for engineers who want to:

- Build and ship constantly.
- Work on the cutting edge and use the newest, most advanced tools.
- Push new systems into a mature engineering org of nearly 100 people.
- Operate with high ownership and autonomy.
- See the direct impact of their work in production environments and company growth.
- Feel the AGI.

Flexibility and Logistics:

- Location: This role will be remote, but preference is to be based near our company hubs in San Francisco, Los Angeles, or New York City.
- Additional Benefits: Comprehensive medical/dental/vision coverage with covered premiums, 401(k), and additional benefits including wellness/commuter/FSA stipends.
- Visa Sponsorship: Unfortunately we are unable to sponsor visas at this time.
- What happens if my kid or I are sick on a workday? Take all the time you need! We’ll cover for you. And send you some soup.

Why join Laurel:

- To date, we've secured significant funding from renowned venture capitalists (Google Ventures, IVP, Anthos, Upfront Ventures), as well as notable individuals like Marc Benioff, Gokul Rajaram, Kevin Weil, and Alexis Ohanian
- A smart, fun, collaborative, and inclusive team
- Great employee benefits, including equity and 401K
- Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team
- An opportunity to perform at your best while growing, making a meaningful impact on the company's trajectory, and embodying our core values: understanding your "why," dancing in the rain, being your whole self, and sanctifying time

We encourage diverse perspectives and rigorous thinkers who aren't afraid to challenge the status quo. Laurel is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are not able to support visa sponsorship or relocation assistance.

If you think you'd be a good fit for this role, we encourage you to apply, even if you don’t perfectly match all the bullet points in the job description. At Laurel, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. Every day, we aim to build an environment that empowers us all to do the best work of our careers, and we can't wait to show you what we have to offer!

## About Laurel

## Company Overview
- **One-liner**: Laurel provides an AI-powered timekeeping and work intelligence platform that automates timesheets for professional services firms, enabling them to increase profitability and gain operational insights.
- **Entity Type**: Private (Series C, 2025)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2018 (some sources list 2016; the company’s website and LinkedIn use 2018) [laurel.ai](https://www.laurel.ai/) | [linkedin.com](https://www.linkedin.com/company/laurel-ai)
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: AI-powered time tracking and work analytics for professional services (legal, accounting, consulting)
- **Target customers**: B2B – law firms, accounting firms, and consulting firms (enterprise and mid-market)
- **Mission statement**: “Create a world in which people work 50% less—while producing 100% more.” [laurel.ai](https://www.laurel.ai/)

## Products & Services
- **Laurel AI Time Platform** (SaaS): Automates timesheet creation by capturing work activity, intelligently grouping tasks, and generating AI narratives. Includes point-of-entry compliance to maximize billable hours.
- **Signal – Work Intelligence Platform** (SaaS): Provides operational analytics to help firm leaders understand the true cost of service delivery, optimize pricing, capacity planning, and measure ROI of AI investments. [laurel.ai](https://www.laurel.ai/)

## Market Standing
- **Valuation**: Not disclosed (private company)
- **Key Metrics**:
  - Annual Revenue: ~$27.8M (as of 2026) [linkedin.com](https://www.linkedin.com/company/laurel-ai)
  - Total Funding: $231.7M across 9 rounds [linkedin.com](https://www.linkedin.com/company/laurel-ai)
  - Latest Round: Series C – $100M (June 2025) with 13 investors [linkedin.com](https://www.linkedin.com/company/laurel-ai)
  - Previous Round: Series B – $36.5M (March 2022) led by Anthos Capital and ACME Capital [linkedin.com](https://www.linkedin.com/company/laurel-ai)
- **Notable Investors/Partners**: Anthos Capital, ACME Capital, and over 40 other investors (per PitchBook) [pitchbook.com](https://pitchbook.com/profiles/company/168829-30)
- **Growth Signals**:
  - Headcount: 138 employees (+109.1% YoY); operates in 11 countries (US, UK, Canada, Sri Lanka, Sweden, Hong Kong, Brazil, Denmark, Netherlands, Ecuador, etc.) [linkedin.com](https://www.linkedin.com/company/laurel-ai)
  - Acquired Quantime Inc. in 2023 to expand capabilities [linkedin.com](https://www.linkedin.com/company/laurel-ai)
  - Active job postings: 23 (up 1050% YoY) [linkedin.com](https://www.linkedin.com/company/laurel-ai)
  - Achieved ISO 42001 certification for AI trustworthiness [laurel.ai](https://www.laurel.ai/)

## Competitive Advantages
- **Firm-specific AI models**: Each customer’s AI is trained on their own data only, ensuring privacy and relevance.
- **Enterprise-grade security**: SOC 2 Type II certified, HIPAA compliant, and GDPR/Canada/US privacy law compliant.
- **Deep domain focus** on legal and accounting workflows, differentiating from generic time-tracking tools.
- **Work intelligence layer (Signal)** that goes beyond time capture to provide strategic operational insights.

## Strategic Focus
- **Product expansion**: Launching and scaling Signal, the work intelligence platform, to help firms optimize pricing and capacity.
- **Geographic growth**: Active hiring in APAC (e.g., Founding Customer Success Manager, APAC) and presence in 11 countries.
- **AI leadership**: Continued investment in AI/ML to improve automation and analytics, with a focus on measuring and maximizing AI ROI for clients.

## Why Work Here
- **Culture**: “Tight teams with high performers” – the company values results over hours and hires people smarter than themselves. Emphasis on autonomy and impact. [laurel.ai](https://www.laurel.ai/careers)
- **Work model**: Hybrid – offices in New York, Los Angeles, and San Francisco. “Work from one of our offices” suggests regular in-office presence is expected. [laurel.ai](https://www.laurel.ai/careers)
- **Benefits**:
  - Competitive salary and generous equity
  - Flexible PTO and sick leave, 14 paid company holidays
  - Generous parental leave
  - Excellent medical, dental, vision coverage; FSA and DCFSA
  - Life insurance and long-term disability
  - 401(k) savings plan with company contributions
  - Commuting cost offsets
  - Discretionary budgets for professional development
  - Bi-annual, in-person offsites with peers [laurel.ai](https://www.laurel.ai/careers)
- **Engineering culture**: Strong focus on AI/ML, data science, and platform engineering (roles like Staff AI Platform Engineer, Senior ML Data Scientist). The team is 35% technical. [linkedin.com](https://www.linkedin.com/company/laurel-ai)
- **Employee ratings**: 4.4/5.0 on LinkedIn (14 reviews) across work-life, compensation, culture, and career growth. [linkedin.com](https://www.linkedin.com/company/laurel-ai)

## Sources
1. [laurel.ai](https://www.laurel.ai/) – Company website (product, mission, security, customers)
2. [laurel.ai/careers](https://www.laurel.ai/careers) – Careers page (benefits, culture, values)
3. [linkedin.com](https://www.linkedin.com/company/laurel-ai) – LinkedIn company page (financials, headcount, growth, employee data)
4. [pitchbook.com](https://pitchbook.com/profiles/company/168829-30) – PitchBook profile (funding history, investors, employee count)

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