Role Description We at Coforge are hiring .NET Developer with the following skill set. - Senior-level C#/.NET, experience building and refactoring complex backend domain logic (our world is leave/absence eligibility, entitlement, and calculation engines, so algorithmic and rules-heavy work) - Strong automated-testing discipline: unit, integration, and regression coverage - MongoDB / NoSQL data modeling - Comfortable owning a feature end to end and working independently Qualifications - AWS (KMS, SSM, Secrets Manager) and data-security work, e.g. field-level encryption at rest - Observability instrumentation (DataDog / StatsD, structured logging) - CI/CD and containerization: Docker / docker-compose, GitHub Actions, Jenkins - Test automation frameworks, Playwright / TypeScript - Some full-stack range (TypeScript, Razor) to move across the stack when needed - Insurance, HR/benefits, or leave-management domain experience Company Description At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Role Description We build many products at once with small teams of humans + AI coding agents. You run that engine — you lead the product managers, orchestrate the agent fleets, set the technical bar, and still ship code yourself. Player-coach, not a hands-off manager. Why this is one of the best seats in AI right now: - We're an AI-native venture studio. We stand up new software products — our own and for clients — fast, on top of an in-house agent platform. - Real scope, real ownership. You own delivery across multiple products, lead the PMs/builders who run them, and are the technical truth-source the team ladders up to. - No budget cap for tokens, no babysitting. Best-in-class tooling, frontier models, every AI coding harness and agent framework you want. - A brilliant CTO to build alongside. You report to a CPO/CTO who is genuinely excellent and hands-on. - Frontier work, not maintenance. You'll work with the newest models and harnesses the week they drop. - Top-of-market pay, paid properly and on time. - No politics, no process theater. We're direct with each other — genuine, but not soft. What you'll actually do: - Lead the product managers / builder-leads. Each owns a product or venture; you set direction, unblock, review, and raise their tempo and quality. - Orchestrate humans + AI agents. Break product bets into work for people and for agent fleets. - Stay hands-on. You still architect and write code — the hardest plumbing, the risky spikes, the reference implementations. - Own the portfolio's delivery. Multiple products shipping in parallel, fast, without it turning to mush. - Set the standards that let a small team ship safely at speed — CI, review, evals, security and logging conventions. - Reason commercially. Figure out why a product or funnel isn't working from first principles. Qualifications - You're a player-coach. You lead people and you still ship. - You're an agentic-engineering native. You build with AI at the systems level. - You get leverage through others. You've led engineers and/or product managers. - You've shipped, fast, more than once. Ideally, you've founded or led 0→1 products. - You see the whole board. You reason about the business and the user. - You're right, and so is your team's work. You install the standards that mean shipped work is tested and works. - You're high-agency. You make sensible calls, document assumptions, and ship. - You can take a punch and throw one. You engage, defend your thinking with substance, and bounce back. - You live in the frontier. Your feed is AI all day. Requirements - You've led an engineering and/or product team — managed engineers and/or product managers. - Hands-on agentic depth — you build with LLMs and agent frameworks. - A portfolio of shipped products — things you founded, led, or personally built. - Commercial fluency — startup / agency / B2B-SaaS / GTM context. - Range — you can go from architecture and code review to a live product decision. - Bonus: experience orchestrating AI agents across multiple products. Benefits - Top-of-market compensation: roughly $15,000–$40,000 / month USD (~$180K–$480K annualized). - Paid monthly and on time. - Flexible engagement that grows into whatever's right for both of us. - Remote work with enough daily overlap to lead the team. - Flexible exclusivity to start; strongest engagements grow into primary over time. How to apply - No long form, no unpaid take-home busywork. - Show us something real you led or built — a product you founded/led, a team you built. - A studio teardown: "You're handed 3 new product bets, 2 product managers, and a fleet of AI coding agents, and asked to ship all three to a working v1 in 30 days." - One line: what's something in AI/agents you started using in the last 2–3 weeks, and why?

Role Description We build many products at once with small teams of humans + AI coding agents. You run that engine — you lead the product managers, orchestrate the agent fleets, set the technical bar, and still ship code yourself. Player-coach, not a hands-off manager. We're an AI-native venture studio. We stand up new software products — our own and for clients — fast, on top of an in-house agent platform. Our operating model is humans and AI coding agents on one board: work gets assigned to agents like teammates, and a small team ships what used to take a big one. You'd be the person who makes that machine run across the portfolio. What you get here that you won't get most places: - Real scope, real ownership. You own delivery across multiple products, lead the PMs/builders who run them, and are the technical truth-source the team ladders up to. - No budget cap for tokens, no babysitting. Best-in-class tooling, frontier models, every AI coding harness and agent framework you want — and nobody counting your tokens. - A brilliant CTO to build alongside. You report to a CPO/CTO who is genuinely excellent and hands-on; you'll get sharper fast, and you'll have the air cover to move. - Frontier work, not maintenance. Agentic systems, net-new products, an internal platform that builds other products. - Top-of-market pay, paid properly and on time. We pay our best people what they're worth and we don't play games with it. - No politics, no process theater. We're direct with each other — genuine, but not soft. Speed, output, and quality beat ceremony. What you'll actually do: - Lead the product managers / builder-leads. Each owns a product or venture; you set direction, unblock, review, and raise their tempo and quality. You hire and grow this team. - Orchestrate humans + AI agents. Break product bets into work for people and for agent fleets, decide what's an agent job vs. deterministic code, and get correct, shipped output back. - Stay hands-on. You still architect and write code — the hardest plumbing, the risky spikes, the reference implementations. - Own the portfolio's delivery. Multiple products shipping in parallel, fast, without it turning to mush. - Set the standards that let a small team ship safely at speed — CI, review, evals, security and logging conventions. - Reason commercially. Figure out why a product or funnel isn't working from first principles, and fix the real cause. Qualifications - You're a player-coach. You lead people and you still ship. - You're an agentic-engineering native. You build with AI at the systems level. - You get leverage through others. You've led engineers and/or product managers. - You've shipped, fast, more than once. Ideally you've founded or led 0→1 products. - You see the whole board. Technical, but you reason about the business and the user. - You're right, and so is your team's work. You install the standards that mean shipped work is tested and works. - You're high-agency. You make sensible calls, document assumptions, and ship. - You can take a punch and throw one. You engage, defend your thinking with substance, and bounce back. - You live in the frontier. Your feed is AI all day. Requirements - You've led an engineering and/or product team — managed engineers and/or product managers. - Hands-on agentic depth — you build with LLMs and agent frameworks. - A portfolio of shipped products — things you founded, led, or personally built and drove. - Commercial fluency — startup / agency / B2B-SaaS / GTM context. - Range — you can go from architecture and code review to a live product decision. - Bonus: experience orchestrating AI agents across multiple products, martech/sales-tech depth, or a venture-studio background. What this role is NOT - Not a hands-off manager. If you haven't shipped code in two years and don't want to, this isn't it. - Not a pure IC. If you'd rather build alone than get leverage through a team and agents, this isn't it either. - Not a process/ceremony role. We want guardrails, not gates. - Not a place that needs all-nighters. We want you thinking at your best. Compensation For the genuine article this is a top-of-market seat: roughly $15,000–$40,000 / month USD (~$180K–$480K annualized), contractor, paid monthly and on time. Logistics - Type & framing: We start as a paid engagement — the best leaders we hire often run their own thing. - Location: Remote, anywhere with enough daily overlap to actually lead the team. - Exclusivity: Flexible to start; the strongest engagements grow into primary over time. How to apply - No long form, no unpaid take-home busywork. We want to see what you've built and how you lead. - Show us something real you led or built — a product you founded/led, a team you built, an agent system you shipped. - A studio teardown: "You're handed 3 new product bets, 2 product managers, and a fleet of AI coding agents, and asked to ship all three to a working v1 in 30 days. How do you set it up?" - One line: what's something in AI/agents you started using in the last 2–3 weeks, and why?

• Use software like Autodesk Fusion, CAMplete, and others to perform DFM checks and optimize customer designs for efficient and cost-effective manufacturing • Review customer models to plan machining strategy, including tool selection, feed speeds and operation sequencing • Create, refine, and validate CAM programs for 3+2 and 5-axis machining using simulation and test runs to ensure accuracy and print compliance • Develop effective tabbing and fixturing strategies to secure parts during machining • Monitor orders through production, troubleshoot machining or program issues, and ensure finished parts meet SendCutSend quality standards • Work closely with our design and manufacturing teams to improve workflows, share feedback, and continuously evolve our processes