engineering
Posted Apr 16Forward Deployed Engineer - Mountain View
at CommerceIQ
United StatesOn-site
Responsibilities
- Build prototypes with customers: Work alongside our AI Product Manager to understand real‑world problems, rapidly scope use cases and create working prototypes.
- Integrate data and create new AI agents: Ingest data from disparate sources (ERPs, ecommerce platforms, custom APIs) and build agents that solve the specific use cases uncovered during discovery.
- Own AI outcomes: Lead customer‑facing demonstrations and proof‑of‑concepts. You’ll instrument and tune models using production feedback loops to ensure prototypes deliver measurable outcomes.
- Own the full lifecycle: Support engagements from pre‑sales scoping through post‑deployment refinement.
Requirements
- CommerceIQ is building the AI platform that runs commerce for the world's largest brands.
- We are not selling AI demos.
- We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week.
- As a Forward Deployed Engineer , you will partner closely with our founders and the AI Product Managers to prototype and deploy AI‑driven solutions that solve our customers’ most pressing problems.
- This is a founding engineering role with high visibility; you will report directly to our Head of AI Strategy and Outcomes.
- You will help define how we work with our most important customers, shape the company’s first ever forward deployed engineering function, and contribute to our mission of helping brands win in AI‑driven e-commerce. Location / Travel:
- Comfortable coding in Python or Java and learning new technologies quickly.
- Experience connecting to APIs, working with SQL/NoSQL databases, streaming/ETL pipelines and deploying AI/LLM‑based agents.
- requirements into working solutions. You have excellent communication skills and the ability to simplify complex technical topics.
- Bachelor's degree, in Computer Science, Mathematics, or a related field Nice to Haves: Prior
- experience in a forward‑deployed, solutions engineering, technical product management or customer implementation role.
- Candidates coming from companies known for forward‑deployed engineering (e.g., Palantir, Scale AI, Ramp, Postman etc.) are strongly encouraged to apply.
- Familiarity with e-commerce, retail, supply‑chain or ad‑tech data.
Benefits
- Exposure to large‑language‑model applications (fine‑tuning, prompt engineering, building retrieval‑augmented generation workflows). Compensation and Benefits:
- The typical base pay range for this role across the US is: $140,000 - $170,000/per year.
- In addition to salary, there is a 10%-15% annual bonus, along with an equity package provided as high potential pre-IPO stock options.
- This base pay range may be inclusive of several career levels at CommerceIQ and will be narrowed based on a number of factors including the candidate’s experience, qualifications, and location.
- Base salary is just one part of your total rewards package at CommerceIQ.
- You may also be eligible for long-term incentives, in the form of company stock options, as well as potential discretionary bonuses.
- Comprehensive medical, vision, and dental coverage
- A 401(k)-retirement plan
- Short & long-term disability insurance Life insurance Paid parental leave
- 10+ paid company holidays in each calendar year and unlimited PTO
Additional details
- 2,200+ Customers 10 of Top 12
- Backed by SoftBank, Insight Partners, and Madrona.
- Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO. The Role:
- You will also partner with other members of the executive leadership team who are based at our Mountain View HQ, collaborate with our Bangalore‑based engineering team, and engage daily with enterprise customers.
- This position is on-site in Mountain View, CA with approximately 50% travel expected to client locations. What You'll Do:
- You’ll engage in hands-on discovery and convert insights into functional demos for prospective and existing customers.
- This includes turning edge‑case business rules into runtime‑editable settings rather than hard‑coded logic.
- Rapidly iterate & generalize: Collaborate with engineering teams in Bangalore to transform prototypes into robust features.
- Your work will be implemented into our core product - patterns that succeed in one deployment (custom adapters, monitoring dashboards) should be packaged as reusable modules.
- You’ll help to negotiate scope, push back on unreasonable asks, and ensure long‑term customer success.