--- title: 'Full-Stack Engineer at Syndesus' canonical: 'https://feeny.ai/job/full-stack-engineer-syndesus-new-york-hrg8c1w45r0x' type: 'job' last_seen: '2026-09-10' --- # Full-Stack Engineer at Syndesus - **Company:** Syndesus - **Location:** New York, NY - **Compensation:** $140k–$170k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-05-27 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.gem.com/syndesus/am9icG9zdDoUsenkjkeJruK-m9U7jd5X ## Job 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 core thesis is that research and data today remain fragmented: very little of it is connected, and enormous value disappears into that "dark data." Our client is converting sentiment from a lagging signal into a leading one, allowing brands to move months faster than legacy research tools permit. The platform is building toward a consumer ontology — think of Palantir's ontology, but for consumer intelligence — powered by a production graph RAG system that links temporal and sentiment data at a scale not previously attempted. 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 ## About Syndesus ## Company Overview - **One-liner**: Syndesus builds elite engineering and AI teams in Canada for US-based VC-backed startups, offering a fully-managed Employer of Record (EOR) solution to eliminate cross-border hiring friction. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2014 - **Founders**: Marc Pavlopoulos ## Core Business - **Primary industry**: Talent-as-a-Service / Professional Employer Organization (PEO) / Technical Recruiting - **Target customers**: US-based VC-backed technology startups and enterprises needing senior AI, ML, and software engineering talent from Canada - **Mission or purpose statement**: To accelerate innovation by replacing the slow, transactional hiring model with a seamless, strategic solution that delivers seniority and speed. ## Products & Services - **[AI Talent Sourcing]**: Access to a curated pool of pre-vetted, enterprise-proven senior engineers (AI, ML, data science, full-stack) from Canada. Candidates have track records at major tech companies. - **[Employer of Record (EOR)]**: Syndesus acts as the legal employer for Canadian talent hired by US companies, handling all payroll, benefits, compliance, and provincial labor law requirements. - **[Canada Co-pilot]**: An outsourced HR team service for US companies that need deeper support managing the administrative and compliance details of their Canadian workforce. - **[Relocation & Immigration Support]**: Assistance for foreign-born tech workers (and their US employers) who need options for working remotely in Canada due to visa or immigration issues, including H1-B visa alternatives and Canadian immigration pathways. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private, bootstrapped company) - **Key Metric**: 63 total employees (as of latest data); 16,000+ LinkedIn followers; 25 open positions listed on careers page - **Notable Investors/Partners**: Not publicly disclosed (appears to be self-funded) - **Growth Signals**: Rapid headcount growth with 25 active job openings across Canada and the US (New York, San Francisco, Austin, Frisco, Dallas, San Jose, Quebec, Toronto) in both hybrid and remote roles; expanding into major US tech hubs; strong employer brand on LinkedIn. ## Competitive Advantages - **Speed**: Ability to move from initial consultation to a compliant new hire in as little as three weeks by leveraging a pre-vetted talent pool. - **Curated Talent Focus**: Specializes exclusively in senior, production-ready AI and engineering talent with enterprise experience, not general staffing. - **Full-Stack Friction Removal**: Combines elite talent sourcing with a fully-managed EOR solution, eliminating the legal, payroll, and compliance risks of cross-border hiring in a single partnership. - **Deep Canadian Network**: Canada has one of the deepest AI talent pools in the world, and Syndesus has built a specific pipeline to access it for US companies. ## Strategic Focus - Aggressively scaling its own team across North America to meet demand, with a heavy emphasis on senior engineering roles (AI, ML, data, backend, full-stack) and product management. - Deepening its specialization in AI talent as the primary growth driver for its clients. - Expanding its physical footprint into key US tech markets (New York, San Francisco, Austin) while maintaining a strong Canadian HQ presence. ## Why Work Here - **High-Impact Work**: Employees help solve the single biggest blocker to innovation for top US tech companies: accessing elite AI and engineering talent. - **Growth Trajectory**: The company is in a rapid growth phase with 25 open roles, offering significant career advancement opportunities for early joiners. - **Flexible Work Environment**: Offers a mix of remote (Canada, US West Coast), hybrid (Toronto, Frisco, Quebec, New York), and in-office (New York, San Francisco) roles, catering to different working preferences. - **Founder-Led & Experienced**: Led by Marc Pavlopoulos, a 20+ year veteran of scaling VC-backed tech companies in Silicon Valley, providing strong leadership and operational insight. - **Culture**: Positioned as a strategic partner, not a transactional recruiter, with a focus on speed, quality, and solving hard problems for clients. ## Sources 1. [syndesus.com/about-us](https://syndesus.com/about-us/) 2. [syndesus.com/home](https://syndesus.com/home/) 3. [LinkedIn - Syndesus, Inc.](https://ca.linkedin.com/company/syndesus) 4. [Built In - Syndesus Careers](https://builtin.com/company/syndesus) 5. 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