Etsy Machine-Learning Engineering Leadership Careers: Evidence and Work Modes

Treat the former Etsy Senior Engineering Manager ML Platform role and $252K–$328K range as expired. Etsy’s current engineering page lists machine-learning, data-platform, search and recommendations work, but each requisition controls level, work mode, eligible location and pay. A current ML Recommendations manager posting is hybrid, Brooklyn-based for commutable candidates and describes U.S. eligibility and specific office attendance. Strong leaders show team health, technical strategy, model and platform reliability, data quality, responsible evaluation, cross-functional decisions and measurable marketplace outcomes. Management evidence should separate personal technical contribution from team results.

Evidence that demonstrates fit or progress

Prepare three sanitized cases: a team or capability developed, a reliability or platform decision, and an ML-product tradeoff. For each, state context, team scope, user or business need, alternatives, your decision, review process, risk and fairness checks, operational measure, outcome and learning. Useful evidence can include service reliability, experiment quality, latency, developer velocity, incident reduction, hiring or growth, but only when attributable and permitted. Never disclose Etsy or prior-employer code, datasets, prompts, models, customer/seller data, roadmaps, compensation or confidential performance information.

Build a requirement-to-evidence matrix with requirement, proof, result and gap columns. Copy a current requirement or operating need into the first column. Add one truthful example and a verifiable result. Label missing proof as a gap instead of hiding it with keywords. Legal status, health, safety, schedule, location, privacy, accessibility or security mismatches require a decision.

Write two short cases containing context, constraint, personal action, quality or safety check and result. Reduce each to one résumé, plan or portfolio bullet. Keep confidential clients, systems, employees, health information and security details out. A credible sanitized example is stronger than detail that should not be public.

How to apply or use the guidance

Use Etsy’s official careers search and capture title, requisition URL, work mode, office hub, eligible geography, salary disclosure, team, reporting line and technical expectations. Map requirements to two leadership cases and one system-design discussion. Prepare questions about ML evaluation, retrieval or ranking goals, data governance, on-call, decision rights, team composition, office cadence and manager success. Apply only through careers.etsy.com, verify recruiter identity and do not share sensitive identity or banking data before authenticated onboarding.

Verification checklist

  1. Open the official employer, government or primary source.
  2. Confirm current status, document or requisition ID and the date checked.
  3. Record legal, location, eligibility, deadline, privacy and work-model constraints.
  4. Compare mandatory criteria with evidence that can be substantiated.
  5. Identify one decisive gap before spending more time or money.
  6. Save the source, decision, accountable owner and fallback.
  7. Stop when payment, secrets, unsafe access or unofficial transfer of sensitive information is demanded.

Practical exercise and decision aid

Create a next-48-hours card with one verification, one evidence improvement and one communication action. At the end, mark completed, learned and changed. This creates a return reason and keeps the page useful when a legacy vacancy, product claim or simplistic promise is removed.

Use a stop/continue table. Continue when the official source is current, core requirements fit and the next cost is reasonable. Pause when legal status, health, location, accessibility, safety, security, privacy or money is unclear. Stop when an accountable party is hidden, payment is demanded for a job, or normal verification is bypassed.

Safety and stale-content cleanup

Remove the old vacancy’s active status, $252K–$328K range, urgency and implication that the role is remote everywhere. Do not transfer the current ML Recommendations salary or hybrid terms to other roles. Remove active JobPosting schema. NIST AI RMF is voluntary guidance, not proof of compliance. Avoid confidential technical detail or claims that a manager personally produced team-wide results. Recheck Etsy’s official inventory and work-mode policy immediately before every update.

  • Replace urgency and guaranteed outcomes with dated verification.
  • Do not infer remote work from a digital role or site brand.
  • Keep employer, government, manager, worker and tool roles distinct.
  • Put official or primary sources ahead of copied pages.
  • Do not collect identity, bank, health, immigration or security data.
  • Recheck canonical, robots, schema, outbound links and dates in QA.
  • Keep unpublished if the intent cannot be served honestly.

Frequently asked questions

Is the former ML Platform manager role still open?

Not established; use a matching current official Etsy requisition.

Are Etsy engineering roles fully remote?

Work modes and office requirements vary by requisition and candidate location.

What should a leadership portfolio show?

People development, technical strategy, reliable systems, responsible ML evaluation, decisions and attributable outcomes.

Can employer ML details be shared?

No. Use sanitized, permissioned cases and protect code, data, models, users and roadmaps.

Official and primary sources

Research checked 2026-08-09. Organization and guidance pages establish context; only an accountable live source establishes a current vacancy, rule, price or individual recommendation. Evidence is applied within its limits and does not guarantee outcomes.

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