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- Tasks: Lead the design and development of AI features while writing clean, scalable code.
- Company: Join Pendo, a dynamic company transforming product feedback into actionable insights using AI.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a collaborative team that values innovation and mentorship in AI technology.
- Qualifications: 5+ years in web applications, strong AI system design knowledge, and proficiency in modern backend languages.
- Other info: Pendo is committed to diversity and accessibility in the workplace.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a Senior Software Engineer to join one of our engineering teams here in Sheffield. Working as part of the Pendo Listen engineering group you will build tools that leverage AI to help our customers transform product feedback into insights they can use to improve their own software experiences.
Built in Go on top of Google Cloud Platform, Pendo’s back end architecture processes hundreds of thousands of events per second, integrating with various third party tools and services including LLMs to create insights from qualitative customer data.
As a senior software engineer you will be joining a strong team who love to build systems that scale in a collaborative environment between engineering, product, and design.
Role Responsibilities
- Lead the design and development of AI agent features (using Gemini/GCP infrastructure).
- Take technical ownership of epics and cross-functional initiatives, setting the direction for others to follow.
- Write clean, maintainable, scalable code with strong emphasis on performance.
- Champion high engineering standards and lead by example in code reviews and design discussions.
- Collaborate closely with product to deliver intelligent, high-quality user experiences.
- Share knowledge generously, mentor mid and associate level engineers helping them level up.
- Stay up to date with industry trends in AI, machine learning, and agent architecture. Bringing ideas back to help the team separate hype from value.
- Bring a practical understanding of AI UX challenges, including latency, user trust, transparency, and failure handling.
- Apply a working knowledge of Model Context Protocol (MCP) to create robust, context-aware AI systems.
- Contribute to the ongoing evolution of our engineering culture and team processes.
Minimum Qualifications
- Strong understanding of AI system design, including context orchestration (e.g. MCP), prompt engineering, and tool use.
- Awareness of the UX, performance, and reliability pitfalls specific to AI-powered features.
- 5+ years of experience building and scaling web applications.
- Proficient with at least one modern backend language (e.g. Go, Python, Rust).
- Strong grasp of software architecture, design principles, and API development.
- Basic understanding of machine learning and deep learning fundamentals.
- Effective mentor and communicator who supports the growth of others.
- Comfortable providing technical guidance and helping resolve ambiguity on large-scale work.
Preferred Qualifications
- Experience working with Gemini models and GCP-native AI tooling.
- Familiarity with real-time data pipelines or streaming architectures.
- Prior work on context-aware or intelligent product experiences.
- Experience with design systems or component libraries in a production setting.
- Passion for continuously learning and sharing insights with the team.
EEOC
We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.
Accessibility
Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Compensation
Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide.
Individual pay rate decisions, including offers made within and over the expected salary range, are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.
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Sr. Software Engineer (AI) Sheffield, UK employer: Pendo
Contact Detail:
Pendo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Software Engineer (AI) Sheffield, UK
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Go and Google Cloud Platform. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during discussions.
✨Tip Number 2
Engage with the AI and machine learning community online. Follow relevant forums, attend webinars, or join local meetups to stay updated on industry trends. This knowledge can be invaluable during interviews and shows your passion for the field.
✨Tip Number 3
Prepare to discuss your previous experiences in mentoring and leading teams. Highlight specific examples where you've helped others grow, as this aligns with the role's emphasis on collaboration and knowledge sharing.
✨Tip Number 4
Research Pendo’s products and their approach to user experience. Understanding how they leverage AI to enhance customer feedback will allow you to contribute meaningful insights during your interview, demonstrating your alignment with their goals.
We think you need these skills to ace Sr. Software Engineer (AI) Sheffield, UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI system design, backend languages like Go or Python, and any relevant projects that showcase your ability to build scalable web applications. Use keywords from the job description to align your skills with what Pendo is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the role's responsibilities. Mention specific experiences where you've led projects or mentored others, as this will demonstrate your leadership qualities.
Showcase Relevant Projects: If you have worked on projects involving AI, machine learning, or real-time data pipelines, be sure to include these in your application. Describe your role, the technologies used, and the impact of the project to illustrate your expertise.
Prepare for Technical Questions: Anticipate technical questions related to AI system design, prompt engineering, and software architecture. Brush up on your knowledge of Model Context Protocol (MCP) and be ready to discuss how you've applied these concepts in past roles.
How to prepare for a job interview at Pendo
✨Showcase Your AI Knowledge
Make sure to highlight your understanding of AI system design, especially context orchestration and prompt engineering. Be prepared to discuss how you've applied these concepts in previous projects.
✨Demonstrate Coding Skills
Since the role requires writing clean and scalable code, be ready to showcase your proficiency in Go or another modern backend language. You might be asked to solve coding problems or discuss your past coding experiences.
✨Discuss Collaboration Experience
This position involves working closely with product and design teams. Share examples of how you've successfully collaborated in cross-functional teams and contributed to delivering high-quality user experiences.
✨Stay Current with Industry Trends
Be prepared to talk about recent trends in AI and machine learning. Show that you can separate hype from value by discussing practical applications you've encountered or implemented in your work.
