At a Glance
- Tasks: Lead customer deployments and turn complex processes into smooth AI workflows.
- Company: Join a fast-growing tech company focused on AI and automation.
- Benefits: Enjoy flexible PTO, health benefits, and fun team events like BBQs.
- Other info: Great opportunity for career growth in a dynamic, supportive environment.
- Why this job: Shape the future of AI deployment while working closely with clients and tech teams.
- Qualifications: 1+ years in customer-facing roles; strong analytical and organisational skills required.
The predicted salary is between 29700 - 36300 £ per year.
- As Pallet scales with mid-market and enterprise customers, deployments need to be clear, organized, and deeply customer-aware.
Customers are adopting AI agents in real operational workflows, which means the details matter: requirements, edge cases, stakeholder alignment, change management, testing, and go-live support
- The Associate Deployment Strategist helps own customer deployments from discovery and workflow design through execution, launch, and ongoing success.
You’ll work closely with customers, Agent Delivery Engineers, Product, Sales, and Success to turn messy real-world processes into reliable AI agent workflows
- This is a client-facing, high-growth role for someone early in their career who is highly organized, analytical, and comfortable operating in a fast-moving environment.
You’ll primarily support mid-market deployments, own day-to-day customer coordination, and partner with senior team members on larger or more complex accounts
- You won’t inherit a fully built playbook; you’ll help create it.
This role sits at the center of customer deployment, product feedback, and operational execution.
You’ll work directly with customers, learn how AI agents are deployed in mission-critical workflows, and help shape how Pallet scales implementation across a growing customer base
- Serve as the executive point of contact for customer deployments and long-term success
- Lead customer discovery to understand workflows, constraints, and success criteria
- Translate complex business processes into executable AI agent workflows
- Partner with Agent Delivery Engineers to validate assumptions and execute technically
- Configure, test, and release agent configurations for customer use cases
- Own deployment plans, timelines, risks, and stakeholder communication
- Lead customer kickoffs, milestone reviews, QBRs, and executive updates
- Proactively manage scope changes, escalations, and expectation-setting
- Improve and scale onboarding and deployment processes over time
- Travel for key customer milestones and kickoffs as needed (~25%)
• What Success Looks Like
- Customers have clearly defined, executable workflows aligned to their business reality
- Deployments stay on track despite ambiguity, changing requirements, or complexity
- Executives feel informed, confident, and trust Pallet as a long-term partner
- Internal teams are aligned, accountable, and coordinated around customer outcomes
- Deployment processes become more repeatable and scalable without sacrificing quality
Benefits
- Health, Vision and Dental benefits
- Flexible PTO
- Life Insurance and Accidental Insurance
- Company paid dinners on Tuesdays and Thursdays in the office
- 401k option; helping you save for the future
- Short-Term Disability Coverage
- Monthly happy hours; our last one was a Golden Gate Park BBQ
- Remote office home stipend
- Annual Company Offsites; our last one was in Sonoma Wine Country
- Commuter benefits if you live in SF
- Yearly learning and development stipend
- Fully covered uber ride home if you ever have to work late in the office
- Equity for all staff
Comfort working with customers and asking thoughtful questions Basic technical acumen, including familiarity with APIs, JSON, SQL, or system workflows Interest in AI, automation, logistics, and operational systems Ability to operate in a fast-moving environment and create structure from ambiguity Strong analytical skills and attention to detail Ability to break down complex workflows into clear steps, requirements, and decisions Strong organization and follow-through across multiple workstreams1+ years of experience in a customer-facing, operations, implementation, consulting, product, support, or technical project role Clear written and verbal communication skills Comfort working in spreadsheets and presentation tools Technical degree or technical coursework in CS, Engineering, Math, Data, or related fields Prior experience in implementation, customer success, solutions, or operations Experience at a Saa S, logistics, supply chain, marketplace, or workflow automation company Experience working with AI-driven or automation products
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Associate Deployment Strategist (AI/ML Product) employer: Pallet
Pallet is an exceptional employer, offering a dynamic work environment where innovation meets opportunity. As an Enterprise Account Executive in London, you'll be at the forefront of transforming the logistics industry with cutting-edge AI technology, while enjoying competitive compensation, generous benefits, and a strong focus on employee growth. With a culture that values collaboration and creativity, you'll have the chance to work closely with industry leaders and shape the future of supply chain solutions in a supportive and engaging atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Deployment Strategist (AI/ML Product)
✨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 Pallet 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 Pallet.
✨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 Pallet.
✨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 Pallet 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 Associate Deployment Strategist (AI/ML Product)
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 Pallet.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Pallet 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 Pallet
✨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 Pallet 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.
