Whatnot

Whatnot

AI Tooling Engineer

San Francisco, CA ยท Senior

Sponsorship not specifiedDetected 135 days ago
LLMsRAGResearchMentoring

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock โ†’

Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 83%

Of 6 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 508 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted โ€” recent ones cannot have expired yet.

Files H-1B transfers

25 transfer filings in the last year, covering 25 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • ๐Ÿš€ Join the Future of Commerce with Whatnot!
  • We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes.
  • This is a high-velocity, high-judgment builder role.

Responsibilities

  • Own ambiguous, cross-org AI bets end-to-end -identify the highest-leverage problems across the company, decide what to build, and drive it from prototype to durable production tool
  • Build and ship a high volume of internal apps, prototypes, and automations -going from a vague problem to a working tool in days, then iterating with users toward production quality
  • Define the reusable patterns the org builds on, including reference architectures, internal libraries, MCPs, and skills/plugins that let others move faster and safer
  • Embed directly with teams across CX, Trust & Safety, Ops, and GTM to find high-leverage problems, then build the solution alongside them
  • Scale the leverage -package successful builds into reusable skills and playbooks, and level up the whole company through enablement sessions, boot camps, and mentorship of other builders
  • Stay ahead of the AI landscape, evaluating and bringing in new models, tools, and patterns as the ecosystem evolves, and making the build-vs-buy calls
  • Deep applied-AI fluency -extensive hands-on experience building with the current generation of LLM products (Anthropic, OpenAI, Google) and popular agent frameworks (Cowork,
  • A pattern-setter and force multiplier -you've defined how teams build, mentored other engineers, and raised the technical bar for an org, not just your own output
  • A strong communicator -you can sit with non-technical users, translate their problems into software, and teach them to build for themselves
  • Low ego, high agency -you see inefficiency, build the fix, and bring people along with you

Compensation

  • Annual allowance towards Childcare

Benefits

  • Generous Holiday and Time off Policy
  • Health Insurance options including Medical, Dental, Vision
  • Home office setup allowance
  • Monthly allowance for wellness
  • Lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  • Parental Leave

Company info

  • As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia.

This listing is sourced directly from Whatnot's careers page and normalized into a canonical job model.