Sales Engineer
Listed on 2025-12-21
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IT/Tech
Data Analyst, Data Engineer
Join to apply for the Sales Engineer role at Boam AI
Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up‑to‑date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products, and mission‑critical decisions across the enterprise.
As a Sales Engineer, you will sit at the intersection of product, engineering, and our top‑tier partners like Uber Eats and Toast. You will help scope and run pilots, support integrations and implementations, and make sure customer feedback turns into the right product and data improvements. This is a role for someone who is technical enough to dive into APIs and data, and commercial enough to sit with senior stakeholders and keep projects moving.
WhatYou’ll Do
- Partner with enterprise customers on pilots and early deployments
- Lead technical discovery, solution design, and integration planning
- Translate messy partner data needs into concrete API and data feed requirements
- Support implementation work across APIs, data feeds, and CRM connections
- Coordinate with product, engineering, and data teams on requirements and scope
- Translate customer needs into clear tickets, specs, and follow‑ups
- Build and maintain demo environments, sample data sets, and playbooks
- Help design and track pilot success metrics and reporting views
- Collect structured feedback from users and stakeholders during pilots
- Troubleshoot issues across data, configuration, and integrations
- Provide input into roadmap based on real customer use and impact
- 3–6 years in a customer‑facing technical role
- Experience as a Sales Engineer, Solutions Engineer, or similar role
- Worked with API integrations, data operations, and automation through scripting or SQL
- Comfortable debugging APIs, security, and data flows
- Strong communicator with both technical and non‑technical partners
- Able to run discovery, ask good questions, and map needs to solutions
- Experience with B2B SaaS, data products, or analytics platforms
- Enjoy working on pilots, proof of concepts, and first‑of‑kind projects
- Comfortable owning timelines and keeping multiple teams in sync
- Bias to ship, learn from usage, and refine quickly
- Motivated by solving real customer problems and seeing impact in the field
- Work directly with top tier partners like Uber Eats and Toast
- Join a no‑politics, high‑trust, low‑ego, high‑talent team
- Sit close to founders, product, and engineering on critical deals
- High autonomy, clear ownership, and visible impact from day one
- Operate at the intersection of AI, data, and enterprise workflows
- Top tier compensation with meaningful equity participation
- Help shape how we sell, implement, and expand our largest accounts
Our process is fast, structured, and transparent. It is designed to respect your time and surface real mutual fit.
1. Intro Call: Brief call to meet and outline the role
2. Deep Dive: Walk through past customer‑facing and technical work
3. Practical Exercise: Work through a Boam‑style pilot and integration case
4. Founder Conversation: Align on values, ambition, and how we work together
Apply between Dec 15, 2025 and Jan 10, 2026.
Fully Remote.
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