Solutions Engineer
SalesSales Engineer
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Quick Summary
Key Responsibilities
join discovery and customer calls, answer technical and product questions, build custom demos with realistic data,
Requirements Summary
run intake, install and configure pixels (i
Technical Tools
SalesSales Engineer
Responsibilities
~1 min read- →Serve as the technical lead on pre-sales deals: join discovery and customer calls, answer technical and product questions, build custom demos with realistic data, and scope integrations and strategic opportunities with Product and Strategy before close.
- →Complete vendor security and privacy questionnaires, SSO questionnaires, and RFPs; coordinate with Engineering and Security on supporting artifacts.
- Lead technical onboarding for enterprise clients, integrating Flowcode into their marketing and data stacks (CRMs, CDPs, ESPs, Snowflake, and analytics tools), and set up and support enterprise SAML SSO, gathering requirements, partnering with Data Engineering, and answering ongoing questions as customers activate.
- Act as the trusted advisor on technical API and MCP server implementations, supporting clients on high-volume and bulk API use cases and writing solutions scripts and code (Python, JavaScript, JSON, SQL, or similar) to adjust configurations, update events, and solve one-off customer problems.
- Support marketing pixel and event-tracking implementations: run intake, install and configure pixels (including Shopify, tag managers, and server-to-server setups), validate conversion events, and debug.
- Execute migrations from our self-service product and our clients to our latest Enterprise platform; building and enhancing reusable tooling.
- Build modular, custom templates, and apps (such as digital business cards, wallet passes, and landing-page experiences) for client launches, scale them across the product, and deliver custom experiences with technical partners.
- Triage and answer internal and client-facing technical questions. Create the playbooks and technical documentation that let us and our clients scale together.
- Act as the technical connective tissue between clients, Customer Success, Sales, Product, and Engineering: translate customer requirements into clear technical asks, and translate engineering constraints back into plain language for customers and account teams.
- Bring the voice of the customer into the roadmap by spotting patterns across implementations (recurring integration requests, API gaps, documentation holes, workarounds you keep rebuilding), documenting them with real examples, and partnering with Product and Engineering to turn them into product improvements.
- You have 3–5 years in a technical client-facing role (Solutions Engineering, Technical Account Management, or Implementation Engineering), ideally in SaaS, MarTech, or AdTech, and you're comfortable running live demos and handling technical questions in real time.
- You have strong experience building with AI, APIs, and MCP servers and can advise on implementations. You build reusable prompts, skills, artifacts, workflows, and automations, and use AI in your daily work. You hold it to a standard: you verify its output, measure where it saves time or improves quality, and share what you learn so the whole team gets better, faster, and more consistent.
- You can explain a complex integration to a non-technical marketing manager, then hop on a call with a lead engineer to debug an API or integration issue.
- You build repeatable solutions with code to get things done: Python, SQL, and JavaScript/TypeScript are the core (experience with Go, Java, or C# is a plus).
- You have hands-on experience with REST APIs, gRPC, agentic AI tools, webhooks, and marketing pixels. You understand how data moves between CRM, CDP, and marketing automation systems (e.g., HubSpot, Braze) and how to leverage AI in the loop.
- You understand data privacy (GDPR/CCPA) and essential security concepts (e.g. encryption, multi-tenant environments) and have worked with security questionnaires or compliance reviews.
- You have experience with SAML/SSO and identity resolution concepts (persistent IDs, Snowflake data sharing, and data-activation platforms).
- You don't just identify problems; you build the bridge to the solution. You thrive in the gray area of a fast-growing startup, with a high-autonomy, high-ownership mentality and a ruthless focus on customer outcomes.
- Category creation: Help define a new category at the intersection of offline and online identity.
- Impact at scale: Shape experiences that touch millions of consumers across global brands.
- Elite team: Work alongside high-caliber operators from the world’s best companies.
Send us your LinkedIn and a brief note on the most complex technical implementation you’ve ever led. Bonus points if you include a link to a Flowcode you created.
Compensation Range:
$135 - $155K OTE
Location & Eligibility
Where is the job
United States
On-site within the country
Who can apply
US
About this job
- Pay per year
- $135,000–$155,000 a year
- 13% below the $167,500 median for Sales Engineer jobs on Jobera (745 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- Posted
- October 29, 2026
- First seen
- October 29, 2026
- Last seen
- October 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 71%
- Scored at
- October 29, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
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