368,530open jobs
9,432companies
50,439added this week
Browse all
Salary
$95k – $211k per year (Estimated)
Location
In office (San Francisco)
Seniority
Junior · 2+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Clera is a San Francisco-based AI recruiting and talent-matching platform designed as an AI talent agent for candidates and hiring teams. Acting as a tech-driven alternative to traditional headhunting, Clera directly connects job seekers to open roles at top startups backed by venture firms like Andreessen Horowitz (a16z), Y Combinator, Index Ventures, and General Catalyst.

About the Role

A fast-growing, Series A/B AI-powered platform for hardware engineering - spanning CAD, CAE, and PLM workflows - is looking for a Technical Product Marketing Manager with a Mechanical Engineering background. This is a rare role for someone who has lived the day-to-day realities of mechanical engineering and now wants to channel that credibility into compelling content, sales enablement, and product positioning that resonates with technical buyers.

You'll sit at the intersection of Product, Engineering, and Go-to-Market, translating complex technical wins into persuasive narratives that help mechanical engineers evaluate, adopt, and extract full value from the platform. Formal product marketing experience is a plus - but engineering credibility and sharp communication skills are what matter most here.

Location: On-site in San Francisco, CA. Visa sponsorship is not available for this role.

What You'll Do

  • Lead the creation of case studies and technical proof points that demonstrate platform value to mechanical engineering audiences.

  • Collaborate with Product and Engineering teams to translate complex technical wins into persuasive, buyer-facing narratives.

  • Own customer onboarding materials and proactively surface technical friction points during early adoption.

  • Create sales enablement assets - POC guides, Champion Kits, master decks - designed to convert technically skeptical prospects.

  • Maintain and evolve post-sales knowledge resources including step-by-step product guides and a structured knowledge base.

  • Draft 2-3 deep-dive technical blog posts per quarter and contribute to newsletter copy in partnership with the Growth team.

  • Act as the internal lead for website messaging and evolve product positioning over time.

  • Support webinars and demand-generation efforts with engineering-first content that builds credibility with technical audiences.

What We're Looking For

Required

  • Bachelor's degree in Mechanical Engineering (required).

  • At least 2+ years of hands-on experience as a mechanical engineer, with direct familiarity with ME workflows and pain points.

  • Demonstrated ability to translate complex mechanical engineering problems into clear, compelling value for both engineering and executive audiences.

  • Experience producing technical content for engineering audiences - case studies, onboarding guides, proofs of concept, champion kits, or similar enablement assets.

  • Ability to structure and document technical content with measurable, outcome-driven impact.

  • Experience collaborating with Product and Engineering to develop credible enablement and proof assets.

  • Experience enabling customers through technical guides and knowledge base content.

  • A proof-obsessed, "show don't tell" mindset with ownership over final content performance.

  • Portfolio or examples of technical writing, documentation, presentations, or other materials that demonstrate your ability to communicate engineering concepts and their business impact.

Nice to Have

  • Formal product marketing experience or background in B2B technical marketing.

  • MBA or demonstrated business acumen linking technical depth to bottom-line value.

  • Experience creating content for website evolution, webinars, and demand-generation campaigns.

About the Company

This company builds an AI agent platform purpose-built for hardware engineers, integrating with widely-used engineering tools (including CAD, simulation, and PLM environments) to automate complex workflows and accelerate product development. Trusted by a growing community of hardware engineers, the platform helps teams - from seasoned veterans to newer engineers - spend less time on repetitive tasks and more time on high-impact design decisions. The company is backed by well-regarded institutional investors and is at an exciting stage of growth.

Location & Work Arrangement

This is a full-time, on-site role based in San Francisco, CA. Visa sponsorship is not available.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
368,530 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
San Francisco
$26k – $66k per year (Estimated) • In office • Full-Time • 7+ years exp • Master's Degree • Hyderabad
Python
SQL
TypeScript
Databases
OpenSearch
Snowflake
AI/ML
AI Agents
AWS Bedrock
Claude
Claude Code
Fine-tuning
Hallucination
LangChain
LLM
Model Context Protocol
Multimodal AI
Prompt Engineering
RAG
Synthetic Data
A2A
Amazon SageMaker
DevOps
AWS
CI/CD
Docker
Vector
Analytics
A/B Testing
Apply
$26k – $66k per year (Estimated) • In office • Full-Time • 7+ years exp • Master's Degree • Hyderabad
Python
SQL
TypeScript
Databases
OpenSearch
Snowflake
AI/ML
AI Agents
AWS Bedrock
Claude
Claude Code
Fine-tuning
Hallucination
LangChain
LLM
Model Context Protocol
Multimodal AI
Prompt Engineering
RAG
Synthetic Data
A2A
Amazon SageMaker
DevOps
AWS
CI/CD
Docker
Vector
Analytics
A/B Testing
Apply
$22k – $57k per year (Estimated) • In office • Full-Time • 7+ years exp • Bachelor's Degree • Hyderabad
Python
TypeScript
JavaScript
Databases
OpenSearch
Snowflake
AI/ML
AI Agents
Claude
Claude Code
LLM
Model Context Protocol
Frontend
Angular
Next.js
React.js
DevOps
AWS
AWS Lambda
CI/CD
Docker
GitHub Actions
Terraform
Amazon ECS
Amazon S3
GitHub
IAM
Apply
$125k – $150k per year • In office • Full-Time • 3+ years exp • New York
SQL
Python
AI/ML
AI Agents
DevOps
AWS
Azure
Grafana
Kubernetes
Apply
$115k – $263k per year (Estimated) • In office • Full-Time • 6+ years exp • Munich
AI/ML
AI Agents
Apply
Founding Engineer 2 days ago
$76k – $99k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • Berlin
TypeScript
JavaScript
Databases
PostgreSQL
Frontend
React.js
Apply
$130k – $170k per year • In office • Full-Time • 3+ years exp • San Francisco
TypeScript
Node JS
JavaScript
Node JS
Prisma
Databases
Supabase
Typesense
AI/ML
LLM
Recommender Systems
Apply
$115k – $263k per year (Estimated) • In office • Full-Time • 6+ years exp • Munich
AI/ML
AI Agents
Apply
$81k – $105k per year • In office • Full-Time • 7+ years exp • Munich
TypeScript
JavaScript
Databases
PostgreSQL
AI/ML
LLM
Frontend
tRPC
DevOps
CI/CD
Docker
Kubernetes
Apply
Full Stack Engineer 2 days ago
$70k – $93k per year • In office • Full-Time • 3+ years exp • Munich
Python
TypeScript
JavaScript
Databases
PostgreSQL
AI/ML
LLM
Frontend
tRPC
DevOps
CI/CD
Docker
Kubernetes
Apply
$223k – $424k per year (Estimated) • In office • Bachelor's Degree • San Francisco
AI/ML
AI Agents
LLM
Recommender Systems
Apply
$83k – $188k per year (Estimated) • In office • 2+ years exp • San Francisco
Python
AI/ML
AI Agents
LLM Guardrails
Model Context Protocol
DevOps
Terraform
Cybersecurity
Crowdstrike
GDPR
Least Privilege
Okta
SentinelOne
Management
Google Workspace
Slack
Apply
$171k – $273k per year • In office • Full-Time • 8+ years exp • PhD • San Francisco • Washington
AI/ML
A2A
Agentforce
AI Agents
Model Context Protocol
DevOps
AWS
GCP
Marketing
Salesforce
Apply
Security GRC Analyst 2 hours ago
$119k – $268k per year (Estimated) • Remote/Hybrid • 4+ years exp • Bachelor's Degree • San Francisco
AI/ML
Ignite
PyTorch
Cybersecurity
ISO 27001
NIST CSF
SOC 2
Apply
$173k – $260k per year • In office • Full-Time • PhD • San Francisco
JavaScript
Node JS
Python
Python
Celery
Django
Flask
Databases
RabbitMQ
Redis
AI/ML
Agentforce
AI Agents
DevOps
Akamai
AWS
CI/CD
Cloudflare
CloudFormation
Helm
Jenkins
Kubernetes
Spinnaker
Terraform
Marketing
Salesforce
Apply
See all jobs
This is one of many
368,530 more open roles from verified company boards, updated every day.