Syndesus
Full-Stack Engineer
New York, USA · Senior
Sponsorship not specified$140k-$170kDetected 56 days ago
TypeScriptPythonGoReactBackend DevelopmentFull-Stack DevelopmentAWSCloud PlatformsCI/CDMachine LearningData AnalysisData VisualizationLLMsRAGAgentic AISupply ChainLogisticsResearch
About the role
- This is a mid-level full-stack position.
- You will work across every layer of the platform - from backend services that process enterprise data at scale to frontend interfaces that make intelligence accessible and actionable.
- On a team this size, full-stack means full ownership: you will carry features from concept through production and iterate directly with enterprise customers.
Responsibilities
- The team operates on a DRI (Directly Responsible Individual) model - you own major product features end-to-end rather than simply contributing to them.
- ⦁ Build and ship features end-to-end - backend services in Go/Python and frontend experiences in React/TypeScript ⦁ Design APIs, data models, and service architectures that support our client's agentic AI capabilities ⦁ Create intuitive interfaces that turn complex enterprise data into clear, actionable workflows ⦁ Partner with ML engineers to bring AI-driven features into production ⦁
Skills
- The product is already delivering eight-figure gross-margin improvements for Fortune 500 retailers.
- starting in insights and research functions, then expanding into innovation, marketing, and eventually supply chain and manufacturing.
- Emerging publicly after almost two years in stealth.
- Zero attrition since founding.
- New York City - 4 days per week in office, with engineering generally able to take Fridays remote.
- Additional flexibility is considered case-by-case; the in-office norm is collaborative rather than a strict 5-day mandate.
Compensation
- $140,000 - $170,000 base salary, plus equity (approximately 25% of base per year, vesting) and bonus.
- Recruiter screen 2.
- Introductory call with the team (culture and background fit) 3.
- Technical screen (45-60 minutes) with a senior engineer - architecturally focused, probing on background and hands-on ability (not pure coding, but candidates should demonstrate genuine fluency with code) 4.
- On-site (~4 hours) - coding interview, system design interview, product sense (30 minutes), AI sense (30 minutes), and a meeting with leadership.
- Note: a decision is often reached after the first two on-site interviews (~1 hour).
Benefits
- ⦁ Medical, dental, vision, and 401(k) ⦁ Home office stipend and flexible PTO ⦁ Ground-floor equity at a well-funded seed-stage company ⦁
- Compensation: $140,000 - $170,000 base salary, plus equity (approximately 25% of base per year, vesting) and bonus.
Company info
- About Our Client Our client is an applied AI and data analytics company building the intelligence layer that powers enterprise decision-making.
- Its platform unifies an organization's full data landscape - internal systems, social media signals, industry reports, and consumer behavior data - into a single coherent intelligence layer that surfaces insights and automates workflows that previously consumed weeks of analyst time.
- weekly team activities (ping pong tournaments, Yankees games, happy hours, game nights), with plus-ones welcome at events.
- This is a ground-floor opportunity - the engineers joining at this stage will have outsized influence on architecture, product direction, and culture.
- About the Role This is a mid-level full-stack position.
- weekly activities, team events, zero attrition to date Interview Process 1.
- Recruiter screen 2.
- Introductory call with the team (culture and background fit) 3.
- Technical screen (45-60 minutes) with a senior engineer - architecturally focused, probing on background and hands-on ability (not pure coding, but candidates should demonstrate genuine fluency with code) 4.
- On-site (~4 hours) - coding interview, system design interview, product sense (30 minutes), AI sense (30 minutes), and a meeting with leadership.
- you will carry features from concept through production and iterate directly with enterprise customers.
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This listing is sourced directly from Syndesus's careers page and normalized into a canonical job model.