1 день назад
Forward Deployed Engineer (Post-Sales) (AI)
230 000 - 300 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (Post-Sales) (AI): Deploying and scaling an AI data curation platform for strategic enterprise accounts across cloud, on-premises, and hybrid Kubernetes environments with an accent on distributed systems, machine learning, and customer-facing architecture. Focus on owning production rollouts, translating ambiguous requirements into secure technical designs, and building post-sales deployment playbooks from 0→1.
Location: Hybrid — 4 days per week in the Redwood City, CA office; travel to customer sites as needed, approximately 15%
Salary: $230,000–$300,000 base annually plus equity
Company
AI infrastructure company developing a data curation platform that automatically optimizes large-scale training datasets for deep learning models.
What you will do
- Own onboarding, deployment, production rollout, stabilization, and adoption for strategic enterprise accounts.
- Serve as the primary technical contact and build long-term customer relationships across complex on-premises and hybrid environments.
- Design secure, scalable workflows across compute, storage, networking, distributed systems, AWS, GCP, Azure, and on-premises Kubernetes.
- Translate ambiguous customer requirements into concrete technical architectures.
- Build post-sales deployment processes and playbooks from 0→1.
- Partner with Sales, Engineering, and Research to relay customer insights and influence the product roadmap.
Requirements
- 5–10 years of post-sales individual-contributor experience owning enterprise customer deployments.
- Hands-on machine learning and model training experience, including pre-training, mid-training, and post-training.
- Experience deploying software into enterprise infrastructure and owning the full post-sales lifecycle.
- Strong Python and AWS proficiency.
- Experience building post-sales processes or playbooks from scratch.
- Technical degree in Computer Science or an equivalent field, with the ability to turn ambiguous requirements into concrete architecture.
Nice to have
- Experience with GCP, Azure, on-premises or hybrid Kubernetes, or broader ML tooling.
- Startup or high-ambiguity experience.
Culture & Benefits
- Hybrid setup with in-office collaboration in Redwood City.
- 100% company-covered medical, vision, and dental insurance.
- 401(k) plan with a 4% company match and unlimited PTO.
- $2,000 annual wellness stipend and $1,000 learning and development stipend.
- Relocation assistance for employees moving to the Bay Area.
- Open to visa transfers, including OPT and H-1B transfers.
- Daily lunches and snacks provided in the office.
Hiring process
- Initial screen covering background, interest, culture fit, compensation expectations, and logistics.
- Hiring manager technical screen, followed by a live Python coding and debugging interview.
- On-site interviews covering system design, technical deep dives, behavioral scenarios, and cross-functional discussions.
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