Engineering Manager, Platform and AI Infrastructure

Anrok

New York (NY)

Hybrid

USD 200,000 - 280,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance covered 100%
Daily lunch and snacks
Annual learning and development stipend
Home office setup stipend
Annual team off-sites

Job summary

Anrok is seeking a Platform and AI Infrastructure Engineering Manager to own the AI systems behind our tax automation platform. This role involves hiring and managing a talented team while setting the product and technical strategy. You will work with TypeScript and React, fostering a healthy engineering culture. Anrok offers a hybrid work environment and a competitive compensation range of $200K - $280K.

The ideal candidate will have significant experience in engineering and a strong passion for AI. Join us in shaping the future of tax automation!

Qualifications

  • 3+ years of experience managing engineering teams.
  • Significant experience as a software engineer.
  • Track record of setting teams up for success.
  • Experience with AI in production.

Responsibilities

  • Hire and manage a talented engineering team.
  • Set product and technical strategy.
  • Write and review code as needed.
  • Foster a collaborative team culture.
  • Contribute to engineering culture and initiatives.
  • Identify uses of AI in automations.
  • Mentor engineers and raise technical standards.

Skills

Managing engineering teams
Software engineering experience
Technical acumen
AI infrastructure experience
Curiosity and motivation to learn

Tools

TypeScript
React

Job description

Anrok is the leading tax automation platform enabling businesses to expand globally without compliance complexity.

As the digital economy has grown 6x over the last decade, software businesses have gone from not worrying about sales tax to needing to monitor exposure, calculate rates, and file returns across 50 US jurisdictions and 100+ countries. This creates a critical bottleneck for companies that should be able to transact with customers everywhere.

Anrok eliminates this complexity by connecting with billing and payment systems to automate tax monitoring, calculations, and filing end-to-end. Our unified platform handles the ever-changing maze of tax laws at municipal, state, and federal levels—so companies can focus on growth, not compliance.

Our Customers Include
  • 40% of Forbes Top 50 AI companies
  • 20% of Forbes Top 100 Cloud companies
  • Top companies like Notion, Anthropic, and Cursor

We're making compliant digital commerce a reality for companies big and small, backed by over $100M from leading investors including Sequoia, Spark, Index, and Khosla Ventures.

As the Platform and AI Infrastructure Engineering Manager, you'll own the shared systems and AI infrastructure on which the rest of Anrok builds on. As we grow, well-designed platform spanning authn and authz, RBAC, FGAC, audit trails and more, along with AI infrastructure is the backbone that lets every other team move fast without compromising the compliance workflows our customers depend on.

You have the opportunity to drive execution and strategy for an exceptional team, help shape the product roadmap, and coach and develop senior engineers. We work primarily in TypeScript and React, but prior experience is not required.

In this role, you will
  • Hire, manage, and grow a talented team building the platform and AI infrastructure that powers Anrok's product.
  • Set the product and technical strategy, while driving processes for high quality execution.
  • Write and review code alongside the engineers on the team as needed.
  • Foster a collaborative and healthy culture of feedback, opportunity, and growth for the team.
  • Contribute to the Anrok engineering culture and initiatives.
  • Find appropriate uses of AI in both the creation of automations or as the automation itself.
  • Help grow the team—mentoring engineers, contributing to technical culture, and raising the bar on how we build.
What Excites Us
  • 3+ years of experience managing engineering teams, with significant experience as a software engineer.
  • Track record of figuring out how to set individuals and teams up for success.
  • You enjoy coding and have strong technical acumen to guide the team through product and technical decisions.
  • Experience building AI infrastructure—you've built and operated the systems beneath LLM-powered or agentic products in production, and you understand firsthand what makes them reliable and maintainable at scale.
  • A track record of building shared services and components that support internal engineering teams—the foundational primitives and tooling that the rest of the org builds on, designed to make every other team faster.
  • You’re curious and motivated to learn new tools — you've experimented with AI in your work or on your own, you're excited about what's possible, and you've built something with it (an application, a workflow, a creative solution to a real problem) that you can walk us through.
What We Offer
  • The equity upside of an early-stage startup with the product-market fit of a later-stage company.
  • Daily lunch and snacks for those working out of our office hubs.
  • Medical, dental, and vision insurance covered 100%.
  • One Medical membership covered, flexible sick benefits, and more.
  • Annual learning and development stipend for books, online courses, and conferences, as well as a curious team to share your learnings with.
  • Annual team off-sites and in-person opportunities around our growing Anrok hubs.
  • Home office setup stipend to ensure you have the equipment you need to thrive at work.

At Anrok, we embrace a dynamic and flexible hybrid work environment based out of our growing office hubs - San Francisco, New York City, and Salt Lake City where we collaborate in-person 3 days per week.

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Anrok recruiters will only reach out via LinkedIn or email with an anrok.com domain. Any outreach claiming to be from Anrok via other sources should be ignored.

Compensation Range: $200K - $280K

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