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We are looking for an experienced Infrastructure & DevOps Team Lead to take full ownership of our cloud and edge infrastructure domain.

In this role, you will act as a key technical leader within the R&D department, bridging the gap between strong software development practices and large-scale platform engineering. You will be responsible for driving cloud architecture, security, operational excellence, and scalability across both cloud environments and globally distributed edge deployments.

This is a strategic leadership role with end-to-end ownership of our infrastructure domain, ensuring our cloud and edge platforms remain scalable, secure, reliable, and cost-efficient as the company grows.

Responsibilities
Lead, mentor, and grow a team of 2-3 Infrastructure and DevOps engineers while remaining a 50% hands-on technical leader.
Own and evolve our cloud infrastructure architecture and operational strategy.
Ensure the scalability, reliability, security, and cost-efficiency of our cloud and edge platforms.
Lead infrastructure automation, Infrastructure as Code (IaC), and CI/CD best practices across the organization.
Drive cloud security, governance, observability, and incident management processes.
Partner with engineering leadership on architecture, platform strategy, and technology decisions.
Act as the primary infrastructure authority within the R&D organization and influence the company's technology roadmap.

As an Agentic AI & Algorithms Team Lead, you will lead a high-caliber team of AI engineers while staying hands-on in the codebase (~50%). You will also act as the Solution Architect for the algorithmic product, working closely with the CTO and VP Product with core influence on the product roadmap.

The AI is the core of the product, and the AI itself is the decision-maker. It performs diagnosis and root-cause analysis on complex, multi-source data (spectral, time-series, tabular, and more) to produce the conclusions the product delivers.

Key Responsibilities
Lead and mentor a focused team of algorithm engineers and data scientists building AI Agents for production-grade, decision-making systems.
Own the Agentic AI solution architecture at the core of the company's flagship product: ensure the accuracy required for mission-critical decisions, design robust guardrails, and control token consumption and cost.
Act as Solution Architect: turn ambiguous customer or internal ideas into a concrete technical specification and a working implementation.
Spend ~50% of your time writing code, focused on high-risk, critical milestones such as researching and building POCs for novel algorithmic approaches.
Work directly with the CTO and VP Product to align the algorithmic strategy with the product roadmap and core capabilities, given the deep impact this role has on both.
Work directly with industrial domain experts to translate their specialized knowledge into the AI's decision logic.

We're hiring our first Head of Product to own product : the vision, the roadmap, and the business outcomes they drive. Today product is founder-led, and you'll take it over.

We're not looking for a backlog manager or a spec writer. We're looking for someone who thinks like a founder: sets the direction, makes the hard calls on what we won't build, and owns the result. Most of your time will be spent outside the building, with the legal teams who use Chamelio, the buyers evaluating it, and the market we're shaping. When it matters, you'll still go deep on the work yourself.

You'll be the bridge between our customers and R&D, and you'll build the product function as we scale. If you want to define what AI-native contract management looks like for in-house legal, and own the outcome, we want to hear from you.

What You'll Do
Own Chamelio's product vision, strategy, and roadmap end to end, and the outcomes they're measured by adoption, expansion, and retention

Own product metrics and usage: define what success looks like for every capability, make sure it's measured, and track activation, adoption, and depth of usage across every customer account. Use that data, alongside what you hear from customers, to decide what to build, double down on, or kill, and make it the shared scoreboard for the company

Spend most of your time with in-house legal teams (GCs, legal ops, commercial counsel) and turn what you learn into opinionated product decisions

Be the face of the product to customers and prospects: lead strategic customer conversations, executive briefings, and design partnerships

Own how Chamelio shows up in the market, partnering with sales and marketing on positioning, pricing, packaging, and launches

Track the legal tech and AI landscape closely, and turn competitive and market signals into where we play and how we win

Define how AI shows up in the product: where agents act on their own, where humans stay in the loop, and what "good enough to trust" means for legal work

Partner with R&D, design, and our R&D attorneys to take what you hear from the market to production, fast

Hire and grow the product team as we scale