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All JobsGTM EngineeringGTM Operations Analyst
Etched logo
GTM Engineering
Mid-Level
On-site

GTM Operations Analyst

Etched·San Jose, CA
·Posted 2 months ago
Vague responsibilities

About Etched

Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

Job Summary

We’re hiring for GTM Ops - someone who will build the operational backbone of our go-to-market strategy. This is a high-impact role working closely with our Head of GTM to drive the day-to-day execution behind our customer-facing efforts, product launches, and strategic partnerships. You’ll run key analyses, build customer pipelines, support events, shape brand presence, and help launch products that shift perception and win deals. Your work will directly accelerate our entry into market and deepen our relationships with high-value prospects.

Key Responsibilities

  • Plug into knowledge sources by tracking model changes, data center development, and vendor news

  • Partner with executives across recruiting, operations, and engineering to guide customer assessments and analyses to guide outreach, qualification, and prioritization

  • Manage projects with the COO and GTM leads on positioning, pitch development, and internal ops

  • Work cross-functionally with legal, architecture, and software to best coordinate efforts across GTM

  • Build high-leverage decks, benchmarks, and ROI/TCO models

  • Develop and manage our GTM ops engine: CRM, pipeline tracking, reporting, lead gen infrastructure

  • Support product launches with operations, communications, and competitive strategy

  • Track and report progress on GTM KPIs, OKRs, and overall engagement health

  • Keep our systems sharp: iterate fast, reduce friction, and raise execution velocity

You Might Be a Fit If You

  • Have experience in early-stage or high-growth startup ops, GTM, strategy, or chief-of-staff roles

  • Have a background or interest in AI infrastructure, deep tech, or semiconductors

  • Combine operational rigor with storytelling and customer intuition

  • Are comfortable working across functions — from product to engineering to sales

  • Thrive in fast-moving, high-autonomy environments with lots of ambiguity

  • Can analyze customer data, prioritize action, and execute quickly

  • Know your way around CRM systems, data dashboards, and growth tooling

Benefits

  • Medical, dental, and vision packages with generous premium coverage

  • $500 per month credit for waiving medical benefits

  • Housing subsidy of $2k per month for those living within walking distance of the office

  • Relocation support for those moving to San Jose (Santana Row)

  • Various wellness benefits covering fitness, mental health, and more

  • Daily lunch and dinner in our office

How we’re different

Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.

We are a fully in-person team in San Jose and Taipei, and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

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Etched logo

Etched

Etched (Etched.ai Inc.) is a US semiconductor startup designing transformer-specific ASICs for AI inference. Their flagship chip, Sohu, is purpose-built to accelerate transformer-based AI models for enterprise and cloud customers, claiming significantly higher throughput and lower cost than GPU alternatives.

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