--- title: 'Backend Engineer at Viktor' canonical: 'https://feeny.ai/job/backend-engineer-viktor-warsaw-xkyqnajkmksb' type: 'job' last_seen: '2026-10-12' --- # Backend Engineer at Viktor - **Company:** Viktor - **Location:** Warsaw, Poland - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-22 - **Last confirmed live:** 2026-10-12 - **Apply:** https://jobs.ashbyhq.com/viktor/143f3943-33ab-4614-87b8-8435517d8830/application **Skills:** Python, Distributed Systems, Linux Internals, Container Orchestration, OAuth, Webhooks, API Integration, Multi-tenancy, Sandboxing, Modal, Data Persistence, AI-assisted engineering, Open-source infrastructure contribution > Build and maintain the infrastructure for a general AI agent, including integration gateways, sandboxing, and data layers. The role focuses on scaling systems to handle millions of tool calls and ensuring reliability through self-improving mechanisms and robust distributed system design. ## Job description The Short Version You make everything the agent runs on solid: the integrations it reaches through, the gateway that turns them into functions it can call, the sandboxes it runs in, and the data underneath. You've built and operated real backend systems in production and have scars from how they break. You may never have shipped an LLM feature, and that's fine. If you haven't run systems in production, this isn't the role. The Hard Part Viktor reaches into 3,200+ integrations for 56,000+ workspaces, 5M+ tool calls a day, on real customer data. Every integration that quietly misbehaves is a task the agent gets wrong. We're building a harness ready for AGI-level models: an agent that explores what a company runs on and automates it on its own. That bet lives or dies on the backend underneath. The gateway, sandboxes, and data every task runs through have to be fast, solid, and never the reason the agent got it wrong. ## What You'll Actually Do - Own integration quality end to end: catch issues before customers do, fix them, and make sure they can't recur. - Build the tool gateway: turn every connected API and MCP into a clean Python SDK the agent composes, with routing, auth, rate limits, and reliability. - Run the sandboxes: a persistent Linux environment per workspace, isolated, secured, autoscaled, and cheap per task. - Own the data layer: state and persistence across 56,000+ multi-tenant workspaces, durable and fast. - Whatever needs building. Small team, large surface. ## Who You Are - You design distributed systems for scale and reliability, and have operated them in production through the breakage. - You know sandboxing and OS-level isolation cold: containers, Linux internals, running untrusted code safely. - You've wrangled real integration plumbing: OAuth, webhooks, rate limits, and third-party APIs that lie. - You think in multi-tenancy, durability, and cost per request, and design for failure by default. - Security and blast radius are instincts you bring to every design, especially when the thing executes model-written code. - You build with AI by default, because that's how the team moves. - You may never have shipped an LLM feature, and that's fine. This is a systems role. ## Why This Role Is Different - No layers. You work directly with both founders, and decisions get made in the room, not in a Linear ticket. - The backend is the ceiling. Every integration you make reliable and every sandbox you make cheaper raises what the whole agent can do. - You're building the backend of a frontier harness: the layer that decides how much of the model's intelligence turns into real work. Even Better If - You've worked on infrastructure, platform, or developer-tools teams where reliability was the product. - You've built sandboxing, code-execution, or multi-tenant systems before. - You're at home in agentic engineering workflows, spec to production. - You've contributed to the open-source infrastructure the world runs on. - You've founded something or been an early-stage builder. Tech Python. No agent framework and no container orchestration layer: Python services, persistent Linux sandboxes per workspace, Modal for infrastructure. You'll live in OAuth and webhooks, the tool gateway, and multi-tenant data. You don't need all of it coming in, but you need to learn fast. ## How we work Small team, high trust, low process. Decisions are made by owners, not committees. You will ship your first week. You will talk to users your first day. We don't do alignment meetings or stakeholder syncs. We build things, see if they work, and iterate. ## Why Viktor We're one of the fastest-growing companies in the world. The product works. The market is pulling. This is a rare window: everyone here owns something real. Not a task. A surface of the company that customers depend on. That doesn't last forever. Right now, it's still true. ## Compensation Top-of-the-market salary and the kind of ownership that only exists at this stage. The best work happens when you're in the room. This role is Munich or Warsaw. ## About Viktor ## Company Overview - **One-liner**: Viktor is an AI employee that lives in Slack and Microsoft Teams, connecting to 3,200+ tools to execute real work—reports, dashboards, code, campaigns, and more. - **Entity Type**: Private (Pre-Seed / Seed stage) - **Headquarters**: Wilmington, Delaware, United States - **Founded**: 2026 (as per LinkedIn) - **Founders**: Peter Albert (Co-Founder) ## Core Business - **Primary industry**: AI-powered enterprise productivity / digital labor - **Target customers**: B2B, teams of all sizes (used by 40,000+ teams), from SMB to enterprise - **Mission or purpose statement**: "Give every company an AI employee that connects to their tools and does the work." — from [viktor.com/about](https://viktor.com/about) ## Products & Services - **Viktor (AI Employee)**: A managed AI assistant that operates as a team member in Slack and Microsoft Teams. Connects via OAuth to 3,200+ integrations (Stripe, HubSpot, Linear, Notion, Jira, GitHub, Google Drive, etc.). Executes tasks end-to-end: pulls live data, writes code, builds web apps, generates reports, automates workflows, manages code reviews, and more. Delivers real outputs (PDFs, spreadsheets, deployed apps, code commits) rather than text summaries. Includes scheduling for recurring tasks and proactive automation suggestions. ## Market Standing - **Valuation/Market Cap**: Not disclosed (private) - **Key Metric**: Total Funding of $2.9M (Pre-Seed round led by Nat Friedman and Daniel Gross on 2024-06-13; seed round with one investor on 2025-04-20) — from [LinkedIn](https://www.linkedin.com/company/viktor_com) - **Notable Investors/Partners**: Backed by BEK Ventures, Inovo VC, Accel, KAYA, NFDG, Tenacity Capital, Oxford Seed Fund, Leonis Capital. Angel investors include Koen Bok, Jorn van Dijk, Joel Hellermark, Guillermo Rauch, Alex Bouaziz, Stewart Butterfield, Cal Henderson, Harry Stebbings, Max Mullen, Nico Rosberg, Lenny Rachitsky, Shaan Puri, Charlie Songhurst, Daniel Gross, Nat Friedman, Mati Staniszewski, Bartek Pucek, Shawn Wang (swyx). — from [viktor.com/about](https://viktor.com/about) - **Growth Signals**: 40,000+ teams using the product. LinkedIn reports 9 employees (+37.5% YoY growth). Monthly employee growth of +15.8%. Presence in Poland, Germany, and US. SOC 2 Type 1 compliant (under parent Zeta Labs / Jace AI), SOC 2 Type 2 and ISO 27001 in progress, CASA Tier 3 certified. Listed in Slack App Directory and approved by Microsoft for Teams. ## Competitive Advantages - **Execution vs. chat**: Viktor performs actions (sends emails, updates CRMs, deploys apps) rather than just generating text—differentiator from ChatGPT/typical AI assistants. - **Deep integration breadth**: 3,200+ pre-built integrations with OAuth, covering CRM, analytics, project management, version control, ad platforms, etc. - **Persistent workspace & context**: Maintains team context, learns workflows over time via internal "skills," and operates across all channels/public DMs (with RBAC and private mode on roadmap). - **Security posture**: SOC 2 Type 1, CASA Tier 3, data encrypted in transit/at rest, isolated compute per user, no training on customer data, GDPR and CCPA aligned. - **Short time-to-value**: Setup in minutes, no code or developer required; Viktor handles onboarding himself. ## Strategic Focus - **Privacy & security enhancements**: Actively building Private Mode (isolated per-user conversations), RBAC, per-user OAuth token scoping, data retention controls, sensitive data handling. - **Platform expansion**: Continued integration of new tools and deeper capabilities (app building, code engineering, proactive automation). - **Team scale**: Growing engineering team (currently 9 people, with technical roles in Poland, Germany, US) to accelerate product development. ## Why Work Here - **Culture highlights**: Mission-driven ("bet on the upside, make decisions from hope, not fear"), small focused team (9 people) building an AI employee for "the rest of us." Emphasis on taking care of each other and asking "what if this goes right?" — from [viktor.com/about](https://viktor.com/about) - **Remote/hybrid/office policy**: Not explicitly stated, but team is distributed across Poland, Germany, and US (including Wilmington HQ). Likely remote-friendly given global talent sources (HCLTech, Visa, McKinsey, etc.). - **Notable perks**: $100 in free credits on signup, no credit card required. Product is dogfooded internally. Early-stage equity potential, backed by top-tier investors and angels. Roles listed on [jobs.ashbyhq.com/viktor](https://jobs.ashbyhq.com/viktor) — check for open positions. ## Sources 1. [viktor.com](https://viktor.com/) 2. [viktor.com/about](https://viktor.com/about) 3. [viktor.com/product](https://viktor.com/product) 4. [LinkedIn](https://www.linkedin.com/company/viktor_com) 5. [Jobs page](https://jobs.ashbyhq.com/viktor) ## Other roles at Viktor - [Recruiter (Tech)](https://feeny.ai/job/recruiter-tech-viktor-warsaw-e1mccg4gacff) — Warsaw, Poland - [Founding Account Executive (US)](https://feeny.ai/job/founding-account-executive-us-viktor-new-york-gtdm4ea66pq1) — New York, NY - [Commercial Counsel](https://feeny.ai/job/commercial-counsel-viktor-warsaw-cxkrmn5marar) — Warsaw, Poland / Europe - [Data Scientist (Growth)](https://feeny.ai/job/data-scientist-growth-viktor-warsaw-c02cf7wm8kcc) — Warsaw, Poland - [Partnership Operations Manager](https://feeny.ai/job/partnership-operations-manager-viktor-warsaw-1pp5z7m62b8k) — Warsaw, Poland - [Junior Performance & Marketing Designer](https://feeny.ai/job/junior-performance-marketing-designer-viktor-warsaw-053vg6gk0mr0) — Warsaw, Poland - [Senior Performance & Marketing Designer](https://feeny.ai/job/senior-performance-marketing-designer-viktor-warsaw-1papkgm593gk) — Warsaw, Poland - [Data Engineer](https://feeny.ai/job/data-engineer-viktor-warsaw-09r3se79pmjs) — Warsaw, Poland - [Operations Engineer](https://feeny.ai/job/operations-engineer-viktor-warsaw-2ep3hsf8jkyj) — Warsaw, Poland - [Lifecycle Manager](https://feeny.ai/job/lifecycle-manager-viktor-warsaw-5r6n81xtk4zd) — Warsaw, Poland / Dublin, Ireland / New York, NY