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For Companies At a Glance
- Tasks: Lead the design and implementation of AI-driven platform capabilities.
- Company: Join Anaplan, a leader in AI-infused business decision-making.
- Benefits: Enjoy competitive salary, remote work options, and professional growth opportunities.
- Why this job: Make a real impact on cutting-edge AI/ML initiatives with top global companies.
- Qualifications: 12+ years in software engineering with expertise in AI/ML and event-driven architectures.
- Other info: Be part of a diverse team that values innovation and collaboration.
The predicted salary is between 48000 - 72000 ÂŁ per year.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
As part of the Platform & AI Enablement team under GPTO Engineering, you’ll report to the Sr. Director Engineering API. This team is accountable for shaping enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture. This is a hands-on role for a deeply experienced engineer who thrives on solving complex problems and scaling robust platforms.
Your Impact
- Influence the design and implementation of platform capabilities for data processing, AI enablement, and developer acceleration across batch, streaming, and real-time systems.
- Collaborate with the architecture function to represent engineering needs and help translate architectural direction into practical implementation patterns.
- Guide teams in integrating AI/ML capabilities—including prompt-based LLM use cases, model inference, and feature pipelines—into scalable platform services.
- Bring a product mindset to platform engineering, ensuring solutions are aligned with customer and business goals.
- Provide thought leadership across the fullstack (React, Java, Python), promoting clean, efficient, and maintainable code.
- Identify and drive opportunities for innovation—whether in development tooling, performance optimization, or new platform features.
- Act as a mentor to engineers across teams, elevating technical standards through code review, design input, and informal leadership.
- Participate in incident retrospectives, technical spike planning, and future-looking strategy discussions.
- Help teams balance speed and sustainability—delivering under tight deadlines without compromising quality.
Your Qualifications
- 12+ years of software engineering experience, ideally in platform, infrastructure, or data-centric product development.
- Expertise in Apache Kafka, Apache Flink, and/or Apache Pulsar.
- Deep understanding of event-driven architectures, data lakes, and streaming pipelines.
- Strong experience integrating AI/ML models into production systems, including prompt engineering for LLMs.
- Polyglot development capability, with hands-on experience in Java, Python, and modern frontend frameworks such as React.
- Comfort working in cloud-agnostic and hybrid environments.
- Familiar with CI/CD pipelines, GitOps practices, and releasing at speed.
- Strong communication skills—both technical and interpersonal—with the ability to influence without authority.
- Experience working within or across globally distributed teams.
Preferred Skills
- Help define the future of a data platform at scale.
- Work on cutting-edge AI/ML enablement initiatives.
- Collaborate with high-caliber teams across data, engineering, and product.
- Influence long-term technology strategy in a high-growth environment.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment.
Principal Software Engineer - Platform & AI Enablement in Manchester employer: Anaplan
Contact Detail:
Anaplan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Software Engineer - Platform & AI Enablement in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Anaplan or similar companies. A friendly chat can open doors and give you insider info on the company culture and what they really value.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and understanding of AI and platform engineering. Be ready to discuss your past projects and how they align with Anaplan's mission of optimising business decision-making.
✨Tip Number 3
Show off your problem-solving skills during interviews! Anaplan loves innovators, so be prepared to tackle hypothetical scenarios or case studies that demonstrate your ability to think critically and creatively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our winning culture.
We think you need these skills to ace Principal Software Engineer - Platform & AI Enablement in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Principal Software Engineer role. Highlight your experience with AI, data processing, and any relevant technologies like Apache Kafka or Flink. We want to see how your skills align with our mission!
Showcase Your Impact: When detailing your past experiences, focus on the impact you made in previous roles. Use metrics where possible to demonstrate how you influenced platform capabilities or improved processes. We love seeing results!
Be Authentic: Don’t be afraid to let your personality shine through in your application. We value diversity and want to know what makes you unique. Share your journey and what drives your passion for technology and innovation.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This way, your application goes straight to our recruitment team, and we can get to know you better. We can’t wait to hear from you!
How to prepare for a job interview at Anaplan
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Apache Kafka, Flink, and Pulsar. Brush up on your knowledge of event-driven architectures and streaming pipelines, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in platform engineering. Think about how you’ve integrated AI/ML models into production systems and be ready to explain your thought process and the impact of your solutions.
✨Emphasise Collaboration
Since this role involves working with globally distributed teams, highlight your experience in collaborative environments. Share stories that demonstrate your strong communication skills and how you’ve influenced others without formal authority.
✨Bring a Product Mindset
Be prepared to discuss how you align engineering solutions with customer and business goals. Think about past projects where you’ve taken a product-oriented approach and how that led to successful outcomes for users.
