At a Glance
- Tasks: Build AI-powered tools and systems to enhance healthcare staffing solutions.
- Company: Join Patchwork Health, a leader in flexible workforce management for healthcare.
- Benefits: Enjoy a competitive salary, hybrid work, and personal development opportunities.
- Other info: Dynamic team environment with great career growth potential.
- Why this job: Make a real impact in healthcare while working with cutting-edge technology.
- Qualifications: Experience with programming, databases, and AI tools is essential.
The predicted salary is between 40000 - 45000 £ per year.
About Us
Since 2016, Patchwork Health has been on a mission to make truly flexible and sustainable working a reality for all healthcare staff. Their fully integrated workforce management solution helps optimise outcomes for organisations, managers, staff and patients alike. Built by a team of dedicated healthcare veterans, and co‑created with the NHS, their technology and services have been embraced by over 100 healthcare sites to date.
Patchwork offers a range of different solutions, including temporary staff banks, which enable organisations to source temporary staff from their own pool of approved workers; ‘collaborative staff banks’, which help healthcare organisations team up with others in the same region to widen and share their temporary staffing pools; an innovative new rostering solution which enables more flexible, sustainable staffing for permanent healthcare staff; and an Agency Manager which makes it easier for managers to select appropriate temporary staff from external agencies when necessary. Patchwork Insights also provides managers with comprehensive data oversight, to monitor staffing trends, shift fill rates and pay rate escalations, and reliably plan ahead to prevent staffing gaps.
Patchwork Health has been recognised as HSJ’s 2022 Staffing Solution of the Year, and have recently received the prestigious HSJ Partnership Award and the Spectator’s Economic Innovator of the Year Award.
About the Role
As a GTM Engineer, you'll help build the systems, automations and AI‑powered tools that enable Patchwork to scale its impact across the NHS. Working at the intersection of technology, data and commercial operations, you'll play an important role in helping our Revenue teams work more effectively, make better decisions and create greater value for customers. This is a highly cross‑functional role with a strong commercial focus. You'll work across Sales, Marketing, Customer Success and Revenue Operations, whilst collaborating closely with teams including Product, Engineering, Data, Customer Care and Finance.
You'll help design and improve the data models, workflows and AI‑enabled solutions that underpin how we acquire customers, support existing accounts and scale our operations. From small experiments and rapid improvements through to larger multi‑quarter initiatives, you'll have the opportunity to work on a wide variety of projects and see the impact of your work first‑hand.
We're looking for someone who enjoys solving problems, building practical solutions and working across different areas of a business. You'll be comfortable navigating ambiguity, learning quickly and tackling a broad range of technical and commercial challenges.
Key Responsibilities
- Commercial Enablement
- Help build and maintain the systems that support new business acquisition by gathering, structuring and activating customer data across the Revenue organisation.
- Develop tools, automations and AI‑powered workflows that help deliver more relevant and targeted marketing, sales and customer success activity.
- Support the creation of a more complete, data‑driven understanding of customer health by combining information from multiple sources and surfacing actionable insights.
- Help identify opportunities to use AI and automation to proactively highlight customer risks, recommend actions and improve decision‑making across Customer Success.
- Revenue Operations & Automation
- Build and improve automations that remove manual, repetitive work from Revenue teams, enabling colleagues to spend more time on high‑value activities.
- Help develop AI‑powered tools and agents that improve efficiency and outputs across Sales, Marketing, Customer Success and Revenue Operations.
- Measure the adoption and impact of the tools you build, using data and feedback to continuously improve them.
- Develop a strong understanding of Patchwork's products, customers and commercial model, using this knowledge to identify opportunities for improvement.
- Revenue Systems & Data
- Contribute to the ongoing development of our CRM ecosystem, helping improve data quality, reporting capabilities, workflows and user experience.
- Build and maintain integrations across our commercial technology stack, connecting systems and ensuring data flows effectively between tools.
- Help shape scalable data models and processes that enable the business to make better use of data across the customer lifecycle.
Requirements
Essential
- Demonstrable experience working with programming languages, databases and related technical systems.
- Practical experience building solutions that utilise Large Language Model (LLM) APIs, with the ability to confidently discuss prompt engineering, latency considerations and token consumption.
- Strong intellectual curiosity regarding business operations, commercial processes and revenue‑generating functions.
- Excellent critical thinking, problem‑solving and systems‑thinking capabilities, with the ability to analyse complex challenges and identify effective solutions.
- Strong written and verbal communication skills, coupled with a high degree of comfort working with quantitative data and analysis.
- Ability and passion to work in a fast‑paced scale‑up team environment, embracing its challenges and opportunities.
Nice to Have
- Experience working with CRM platforms, particularly HubSpot.
- Exposure to a B2B or Enterprise SaaS environment.
- Experience using automation platforms such as n8n, Make or Zapier.
- Experience working with AI tools and technologies.
- Experience within healthcare, HealthTech or the NHS.
- Exposure to workforce management or workforce technology products.
- Experience working within a technology start‑up or scale‑up environment.
Benefits
- Salary Range: £40,000‑45,000
- Hybrid and flexible workplace
- Cycle Scheme
- Tech Loan Scheme
- Employee Assistance Programme (Health Assured)
- Personal Learning & Development Budget
- Flexible income options via Stream
- Dog friendly London Hub
- Vibrant and fun London Hub with unlimited refreshments & games
- Access to co‑working spaces across the UK
The Small Print
We are unable to provide individual feedback on each application. If you have not heard from us within two weeks, you have not been selected for an interview. We pledge to always provide feedback to applicants who interview with us. Patchwork is an inclusive employer, and is committed to not only meeting legal requirements and standards, but our own diversity, equality, and inclusivity policies and pledges throughout all stages of the employee lifecycle. For more information on our pledges and policies, please refer to our website or reach out to Patchwork's Talent Team.
GTM Engineer employer: Patchwork
Patchwork Health is an exceptional employer, dedicated to fostering a flexible and sustainable work environment for healthcare professionals. With a vibrant London hub that encourages collaboration and creativity, employees benefit from a hybrid workplace, personal development budgets, and a supportive culture that values diversity and inclusivity. As a GTM Engineer, you'll have the opportunity to work on impactful projects at the intersection of technology and healthcare, while enjoying a range of perks including unlimited refreshments and access to co-working spaces across the UK.
StudySmarter Expert Advice🤫
We think this is how you could land GTM Engineer
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Patchwork.
✨Apply Directly through Our Website
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We think you need these skills to ace GTM Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Patchwork, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Patchwork. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Patchwork
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Patchwork!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
