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- Tasks: Lead a dynamic team in solving complex AI challenges and drive impactful solutions.
- Company: Join Quantiphi, an award-winning AI-first digital engineering company.
- Benefits: Remote work, exposure to cutting-edge tech, and career growth opportunities.
- Other info: Work in a fast-paced environment with a talented, energetic team.
- Why this job: Be at the forefront of AI transformation with Fortune 500 companies.
- Qualifications: 7+ years experience in technical program management and strong Python skills.
The predicted salary is between 60000 - 84000 £ per year.
About Quantiphi: Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world's most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology's sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.
Role Summary: To maximize the ROI of our high-value engineering talent, we require a Technical Program Manager to operate in a high-intensity delivery environment. You will act as a force multiplier, removing logistical friction (travel, access rights, scheduling) to ensure our FDEs remain 100% focused on coding and customer delivery. You will bridge the gap between field challenges and core engineering requirements.
Example of Work Required:
- Triage issue reports from customers, identify likely root causes, and identify owners on Google/customer team to continue investigation.
- Build organization around issues/feature requests, manage ETAs for fixes and improvements for Google-owned issues.
Key Responsibilities:
- Issue Triage & Root Cause Analysis: Triage issue reports from customers, identify likely root causes, and assign owners within Google or customer teams. Build organization around issues/feature requests and manage ETAs for fixes.
- Operationalizing Scale: Enforce strict "train-the-trainer" certification milestones and cohort velocity to scale the team from 8 to 24+ FTEs, preventing quality dilution during rapid expansion.
- Systematizing Product Feedback: Transform isolated field challenges into prioritized engineering requirements. Aggregate distributed data on ADK/NGA edge cases to drive roadmap evolution.
- Logistical Friction Removal: Remediate transparency of work vertically and horizontally, ensuring FDEs are not bogged down by the logistical friction of handling customer messaging.
Core Competencies:
- Technical Fluency: "Code comfortable" with the ability to read Python and understand NGA app architecture.
- Operational Rigor: Ability to manage high-velocity scaling (1:3 ratio governance).
- Strategic Communication: Centralizing messaging to maintain alignment between Google Engineering and the customer.
Minimum Qualifications:
- Technical Understanding: Ability to read Python and understand complex software architectures.
- Infrastructure Knowledge: Professional-level certification in Google Cloud Infrastructure.
- Agent Experience: Understanding of LLM agents, including prompt engineering and core ADK/NGA concepts (instructions, callbacks, tools).
Preferred Qualifications:
- Leadership Experience: Experience operating at an L7+ level equivalent to shape the practice and make staffing adjustments.
- Hands-on Background: Previous hands-on delivery experience, preferably in an FDE-type role, to better understand the technical nuances of the program.
What is in it for you:
- Be part of the fastest-growing AI-first digital transformation and engineering company in the world.
- Be a leader of an energetic team of highly dynamic and talented individuals.
- Exposure to working with fortune 500 companies and innovative market disruptors.
- Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud.
Engagement Manager - CCAI in Hull employer: Quantiphi
Contact Detail:
Quantiphi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engagement Manager - CCAI in Hull
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or industry events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to the role. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your skills! Create a portfolio or a project that highlights your technical fluency and operational rigor. This is your chance to demonstrate how you can tackle real-world challenges, just like in the Engagement Manager role.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Engagement Manager - CCAI in Hull
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Engagement Manager role. Highlight your experience in technical program management and how it aligns with our mission at Quantiphi. We want to see how you can bring value to our team!
Showcase Your Technical Skills: Since this role requires a good understanding of Python and software architecture, don’t shy away from mentioning any relevant projects or experiences. We love seeing candidates who can demonstrate their technical fluency and operational rigor.
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points where possible and avoid jargon. We appreciate clarity and want to quickly understand your qualifications and how you can contribute to our team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team at Quantiphi!
How to prepare for a job interview at Quantiphi
✨Know Your Tech Inside Out
Make sure you brush up on your technical fluency, especially with Python and Google Cloud Infrastructure. Being able to discuss the architecture of the NGA app and demonstrate your understanding of LLM agents will show that you're not just a manager but also technically savvy.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've triaged issues or managed operational challenges in high-pressure environments. Quantiphi values candidates who can transform field challenges into actionable engineering requirements, so have some stories ready that highlight your strategic thinking.
✨Communicate Like a Pro
Since this role involves bridging gaps between teams, practice articulating complex ideas clearly and concisely. Think about how you would centralise messaging between engineering and customer teams, and be ready to share your approach during the interview.
✨Demonstrate Leadership Experience
Quantiphi is looking for someone with leadership experience at an L7+ level. Be prepared to discuss your previous roles where you shaped practices or made staffing adjustments. Highlight how you’ve led teams through rapid scaling while maintaining quality.