At a Glance
- Tasks: Manage complex software projects and coordinate across multiple teams to ensure successful delivery.
- Company: Join a pioneering AI startup with a mission to advance humanity.
- Benefits: Attractive compensation, flexible working options, and opportunities for growth.
- Other info: Embrace a culture of creativity, diversity, and innovation.
- Why this job: Be part of a dynamic team shaping the future of AI technology.
- Qualifications: 3-5 years in technical project management with strong communication skills.
Axelera AI is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just four years, we have raised a total of $370 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 19 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge?
We are looking for a Software Technical PM to own the day-to-day planning, execution management, and coordination of complex software development projects at Axelera AI. Working across multiple software sub-teams (Runtime, ML, Compiler, Backend, SWD, Apps), the Software Technical PM is responsible for turning high-level project objectives into detailed execution plans, ensuring every task and dependency has a named technical owner, driving those plans through to delivery, and proactively surfacing cross-team risks and roadblocks so that the right people can resolve them. This is a hands-on execution management role, not a reporting role and not a technical leadership role.
The core of the work is building plans with engineers, tracking progress at the task level, running integration and coordination cadences, ensuring technical ownership is assigned and visible, making informed trade-off recommendations, and ensuring that cross-team dependencies are managed. Technical decisions and technical problem-solving remain with engineering. Status reporting and dashboards are outputs of the management activity. The Software Technical PM works as part of the programme management team. Project assignments are determined by programme complexity and risk, with the initial focus on LLM/generative AI enablement for Voyager SDK.
Key responsibilities:
- End-to-end execution management of assigned complex software projects from planning through delivery, working across multiple software sub-teams simultaneously.
- Build and maintain detailed project plans at the task and dependency level, working directly with engineering sub-team leads to establish realistic estimates, identify dependencies, and define integration milestones.
- Ensure every task has a named technical owner.
- Drive the planning and coordination of the integration process for assigned projects: work with engineering leads to define the integration strategy, identify who owns the shared integration environment, ensure integration milestones are agreed and tracked, and escalate when integration tasks lack clear technical ownership or are falling behind.
- Ensure explicit definition-of-done criteria are established for each project phase (functional correctness gate, performance gate, release readiness).
- Drive the process to get engineering and product stakeholders to agree these criteria before work begins.
- Track progress against agreed criteria rather than informal assumptions.
- Run daily or appropriate cadence coordination standups for assigned projects, ensuring status is communicated publicly, blockers are identified within 24 hours, and ownership of resolution is assigned to a named engineer and tracked to completion.
- Track estimation accuracy and delivery predictability at the task level.
- Identify patterns of optimistic estimation early, make them visible to teams and leadership, and work with engineering leads to adopt more realistic estimation practices.
- Identify single-person critical path dependencies and escalate to engineering leads to establish backup coverage on critical path components.
- Prepare and maintain project-level status views, risk registers, and decision logs that give programme leadership an accurate, real-time picture of project health.
- Contribute to programme-level process improvements based on lessons learned from project execution, including estimation calibration, integration planning practices, and cross-team communication standards.
- Work with the Software Program Manager to ensure assigned project plans are aligned with the overall release roadmap, PI planning cycle, and portfolio priorities.
Qualifications:
- 3-5 years of experience in technical programme or project management within a software-intensive technology organisation, preferably in semiconductor toolchains, compilers, AI/ML frameworks, or embedded systems software.
- Demonstrated experience coordinating cross-team software integration efforts involving multiple codebases, build systems, and testing environments converging on a single deliverable.
- Experience driving accountability for integration tasks across teams without owning the technical implementation.
- Sufficient technical literacy to navigate discussions about compiler toolchains, runtime systems, model optimisation, and inference pipelines: able to understand what teams are doing, ask probing questions, and recognise when estimates or status updates do not add up.
- This is not a role that requires writing code, but it requires understanding the engineering landscape well enough to manage it effectively.
- Track record of improving delivery predictability on complex software projects, including experience with estimation calibration, phased integration planning, or similar disciplines.
- Experience working in a matrixed environment, managing by influence across teams without direct line authority.
- Ability to build trust with senior engineers and drive accountability through transparency and structured process rather than hierarchy.
- Familiarity with AI/ML model deployment pipelines (model training to quantisation to compilation to inference) is a significant advantage, particularly for LLM/generative AI workloads.
- Familiarity with agile or SAFe-inspired planning methodologies, including PI planning, sprint/iteration management, and backlog refinement.
- Outstanding verbal and written communication skills in English, with the ability to translate complex technical status into clear, decision-enabling summaries for engineering and executive audiences.
- Strong attention to detail, particularly in tracking task-level dependencies, identifying estimation drift, and maintaining accurate project records.
- Ability to work independently with a high degree of autonomy in a fast-paced environment, proactively identifying issues and driving resolution without waiting for escalation.
Location:
We offer a flexible working arrangement, with options to:
- Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy or Bristol in the United Kingdom) if you are already based in the vicinity.
- Work fully remotely from any European country (incl. the UK) you are already in.
- Relocate with us and work from Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven).
Kindly note that priority will be given to candidates who are interested in being based in Belgium, Germany or Italy.
What We Offer:
This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares. An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team. At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.
Software Technical Program Manager in Bristol employer: Axelera AI
Axelera AI is an exceptional employer, offering a vibrant and inclusive work culture that fosters creativity and innovation. With flexible working arrangements across multiple European locations, employees benefit from a competitive compensation package, including pension plans and share options, while being part of a dynamic team dedicated to advancing AI technology for the betterment of humanity. The company prioritises employee growth through collaborative ownership and a commitment to diversity, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Software Technical Program Manager in Bristol
✨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 Axelera 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 Axelera 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 Axelera 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 Axelera 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 Software Technical Program Manager in Bristol
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 Axelera 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 Axelera 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 Axelera 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 Axelera 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.