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Full-Stack Engineer

Syndesus

  • New York, New York
  • 30+ days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Cloud Computingunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Customer Support/Serviceunmatched
    • Customer/Client Researchunmatched
    • Customer/Consumer Behaviorunmatched
    • Data Analysisunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Visualizationunmatched
    • Database Technologyunmatched
    • Entertainment and Mediaunmatched
    • Fortune 500 Customersunmatched
    • Gross Marginunmatched
    • Integrated Circuits (ICs)unmatched
    • Logisticsunmatched
    • Machine Toolunmatched
    • Manufacturingunmatched
    • Marketingunmatched
    • Programming Toolsunmatched
    • Python Programming/Scripting Languageunmatched
    • Retailunmatched
    • Seed Fundingunmatched
    • Social Mediaunmatched
    • Software as a Service (SaaS)unmatched
    • Supply Chainunmatched
    • System Integration (SI)unmatched
    • Team Playerunmatched
    • User Interface/Experience (UI/UX)unmatched

    Description

    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.


    The product is already delivering eight-figure gross-margin improvements for Fortune 500 retailers. The go-to-market is a land-and-expand motion: starting in insights and research functions, then expanding into innovation, marketing, and eventually supply chain and manufacturing.

    Founded by a technical team with deep experience in innovation and graph databases. $14M raised in seed funding. Emerging publicly after almost two years in stealth. Zero attrition since founding. The culture is genuine: 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. 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.

    The team operates on a DRI (Directly Responsible Individual) model — you own major product features end-to-end rather than simply contributing to them. This is a hands-on IC role for builders who ship.

    Key Responsibilities
    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
    Own features through the full lifecycle: scoping, architecture, implementation, testing, deployment, and iteration
    Engage directly with enterprise customers and stakeholders to understand real-world needs and refine the product
    Contribute to infrastructure, tooling, and developer experience as the engineering team grows

    Requirements
    3+ years of professional engineering experience with meaningful work spanning both frontend and backend
    Proficient in TypeScript/React and at least one of: Go or Python
    Strong product instincts — thinks about the user, not just the code
    Experience with cloud infrastructure (AWS preferred) and modern deployment practices

    Bonus Skills
    Experience with agentic AI systems, LLM integrations, or RAG architectures
    Background in enterprise SaaS, retail technology, or data-intensive products
    Familiarity with data visualization, real-time systems, or streaming architectures
    Contributions to developer tooling, CI/CD, or infrastructure automation
    Graph database experience

    Logistics
    Location: 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.
    Openings: Up to 2 hires

    Benefits & Other:
    Medical, dental, vision, and 401(k)
    Home office stipend and flexible PTO
    Ground-floor equity at a well-funded seed-stage company
    Strong team culture: 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. Note: a decision is often reached after the first two on-site interviews (~1 hour).
    5. Offer

    Numbers & Facts

    LocationNew York, New York

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