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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 opportunities with Fortune 500 companies.
- Why this job: Be at the forefront of AI transformation and make a real difference.
- Qualifications: 7+ years experience in technical program management and strong Python skills.
- Other info: Fast-paced environment with excellent growth potential and leadership opportunities.
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 Woking employer: Quantiphi
Contact Detail:
Quantiphi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engagement Manager - CCAI in Woking
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your experience aligns with their values and goals. We want to see that you’re genuinely interested!
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. The more comfortable you are speaking about your skills, the better you'll perform when it counts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Engagement Manager - CCAI in Woking
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’s super easy to do!
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 examples of how you've triaged issues and identified root causes in past roles. Quantiphi is looking for someone who can bridge gaps and remove logistical friction, so be ready to share specific instances where you've successfully managed high-velocity scaling or operational challenges.
✨Communicate Strategically
Practice centralising your messaging. You’ll need to maintain alignment between engineering teams and customers, so think about how you can convey complex information clearly and effectively. Role-play potential scenarios with a friend to refine your communication style.
✨Demonstrate Leadership Experience
Quantiphi values leadership, so come prepared to discuss your experience operating at a senior level. Highlight any hands-on delivery experience you've had, especially in FDE-type roles, and how it has shaped your approach to managing teams and projects.