Forward Deployed Engineer, AI Training Data (San Mateo, CA)
Forward Deployed Engineer owning end-to-end onboarding and production deployment of an AI data curation platform for strategic enterprise accounts, using Python, AWS, Kubernetes, and distributed systems across cloud environments.
- Compensation
- $230K–$300K / yr
- Location
- San Mateo
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 5+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- 5–10 years of post-sales IC experience (Forward Deployed Engineer, Solutions Architect, Implementation Engineer, ML Engineer, or similar)
- Hands-on machine learning and model training experience (pre-training, mid-training, post-training)
- Real experience deploying software into enterprise customer infrastructure
- Strong Python proficiency
- Strong AWS proficiency
- Track record of owning the full post-sales enterprise lifecycle
- Experience building post-sales processes or playbooks from scratch
- Technical degree (CS or equivalent)
- Ability to translate ambiguous customer requirements into concrete architecture
- Willingness to travel to customer sites (~15%)
Nice to have
- Startup or high-ambiguity experience
- Multi-cloud environments (GCP, Azure)
- On-prem or hybrid Kubernetes experience
- Broader ML tooling exposure
Full description
Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
About the Company
Our client is a fast-growing AI infrastructure company that has built a state-of-the-art data curation platform used to train some of the most demanding deep learning models in the world. Their technology automatically curates and optimizes petabytes of training data — algorithms that are modality-agnostic and require no labels — to make model training dramatically faster and more efficient. Customers see results that speak for themselves: 7x–40x faster training, model performance equivalent to training on 10x more raw data, and smaller models (with less than half the parameters) that outperform larger ones and substantially cut deployment costs.
Backed by $57.5M raised across Seed and Series A, with investors including Microsoft, Amazon, Felicis, and AI luminaries like Geoff Hinton, Yann LeCun, and Jeff Dean, our client has built a lean team of ~60 people. This is a company already proving out results with real enterprise customers.
The Mission
Foundational models are only as good as the data they're trained on. Our client exists to close the gap between raw data and truly optimized training data — without requiring labels, without adding compute cost, and without forcing customers to compromise on model quality. Every strategic account this team lands is a chance to prove that better data curation, not just bigger models, is the unlock the industry has been missing.
The Opportunity
As Forward Deployed Engineer (Post-Sales), this is a rare role at a company small enough that your fingerprints will be on every major account, and well-funded enough that the roadmap, the compensation, and the customer roster are all already real. You'll be one of the founding members of the post-sales technical org, working directly with strategic enterprise accounts to take them from signed contract to production deployment — and shaping the playbooks that the next wave of hires will use.
If you've been looking for a role that lets you stay hands-on with distributed systems and model training while also owning the high-stakes customer relationships, this is that role.
What You'll Do
- Own end-to-end onboarding, deployment, and production rollout of the platform for strategic enterprise accounts — from first technical conversation through stabilization and beyond
- Serve as the primary technical point of contact for your accounts, building long-term relationships and driving adoption across complex on-prem and hybrid environments