Forward Deployed Team Lead

Forward Deployed Team Lead

Full-Time 60000 - 75000 £ / year (est.) Home office (partial)
C3 AI

At a Glance

  • Tasks: Lead technical projects, code solutions, and ensure successful deployments for enterprise customers.
  • Company: C3 AI, a leader in Enterprise AI application software.
  • Benefits: Competitive salary, excellent benefits, and a commitment to diversity and inclusion.
  • Other info: Join a dynamic team with opportunities for growth in a fast-paced tech environment.
  • Why this job: Make a real impact by transforming businesses with cutting-edge AI technology.
  • Qualifications: 6+ years in software delivery, strong coding skills, and experience with enterprise clients.

The predicted salary is between 60000 - 75000 £ per year.

C3 AI (NYSE: AI) is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end‑to‑end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry‑specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain‑specific generative AI offerings for the enterprise.

Forward Deployed Team Leads are senior technical leads who own a commercial or enterprise customer end‑to‑end. You’ll combine strong technical architecture, hands‑on coding, product ownership, project management, and stakeholder communication—embedding directly with customers to take our product from “design” to “in production.” You’ll own one account at a time: scope the workflow with business and technical stakeholders, design the architecture, write the code that closes the gaps, and drive the deployment through to measurable business value.

Responsibilities

  • Technical architecture: own data flow, integration topology, identity model, and deployment architecture across the customer’s infrastructure.
  • Hands‑on coding: write production code yourself—backend services, data pipelines, APIs, integrations.
  • Product ownership: own the deployment’s roadmap, execute on the statement of work, decide what’s in scope, what’s a one‑off, and what should become product.
  • Project management: own the plan, milestones, risks, and dependencies; flag when something slips.
  • Stakeholder communication: run customer working sessions, brief executive sponsors, and write clean status updates that senior stakeholders will actually read.
  • Ship into production: deploy from dev through UAT into production—integrating with customer data warehouses, ERP/CRM systems, and cloud environments (AWS, Azure, GCP).
  • Enterprise readiness: ensure the platform is configured, secured, and monitored to meet enterprise security and compliance requirements (SOC 2, ISO 27001, data residency, etc.).
  • Bridge field back to product: push field learnings into the core platform so the next deployment is faster.
  • Account growth and development: partner with Sales to identify expansion opportunities within the account—surfacing new use cases, supporting renewal conversations, and ensuring successful deployments convert to long‑term customer relationships.

Qualifications

  • BS/MS in Computer Science, Software Engineering, Engineering, or equivalent practical experience.
  • 6+ years shipping production software, with 2+ years as a tech lead or senior individual contributor owning delivery end‑to‑end.
  • Strong proficiency in Python, TypeScript/JavaScript, Java, Go, or C++.
  • Demonstrated ownership of systems taken from zero to production in a commercial or enterprise context.
  • Deep expertise in at least one vertical (financial services, healthcare, energy, manufacturing, or defense) to accelerate time‑to‑value and credibility with customer stakeholders.
  • Experience working directly with business and technical stakeholders at mid‑market or enterprise accounts—comfortable in both exec‑level conversations and deep technical design sessions.
  • Familiarity with enterprise data environments: cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms.
  • Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud‑native services, and infrastructure‑as‑code (Terraform or equivalent).

Preferred Qualifications

  • Prior experience as a tech lead or staff engineer at a SaaS or enterprise software vendor with a forward‑deployed or professional services motion.
  • Experience with AI/ML platform deployments or data‑heavy enterprise applications at scale.
  • Familiarity with major cloud environments: AWS, Azure, or GCP, including managed ML/AI services.
  • Experience in regulated industries (healthcare/life sciences, manufacturing, energy) where compliance and change management are part of the delivery.
  • Proven ability to turn a messy, ambiguous customer problem into a clean, repeatable deployment pattern.

Benefits

C3 AI provides a competitive compensation package and excellent benefits. C3 AI is proud to be an Equal Opportunity and Aff. Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Forward Deployed Team Lead employer: C3 AI

C3 AI is an exceptional employer that fosters a dynamic work culture centred around innovation and collaboration, making it an ideal place for Forward Deployed Team Leads to thrive. With a strong emphasis on employee growth, C3 AI offers competitive compensation, comprehensive benefits, and opportunities to engage directly with enterprise customers, ensuring that your contributions lead to meaningful impact in the realm of AI technology. Located in a vibrant tech hub, employees benefit from a stimulating environment that encourages creativity and professional development.

C3 AI

Contact Details:

C3 AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Forward Deployed Team Lead

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at C3 AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to C3 AI.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like C3 AI.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like C3 AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Forward Deployed Team Lead

Technical Architecture
Hands-on Coding
Product Ownership
Project Management
Stakeholder Communication
Deployment Practices
Cloud Data Environments

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at C3 AI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at C3 AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at C3 AI

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If C3 AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.