
Flo Health · London
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to ...
500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.
Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M
investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not
slowing down.
With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust
at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our
users know their body better.
The job
You will act as the primary bridge between the business and IT, translating strategic objectives into technology solutions.
Reporting to the Head of IT, you will own the enterprise SaaS portfolio, build trusted relationships with senior business
stakeholders, and, as a confident, hands-on IT generalist, ensure the day-to-day technology experience of staff is seamless. This
is a standalone role requiring someone who is equally comfortable presenting a technology strategy to the leadership team and
troubleshooting a conferencing system before an important meeting.
actively enables them
rationalisation and retirement
offshore support team.
equipment, supporting new starter onboarding, and resolving issues that cannot be addressed remotely
stakeholder engagement at a senior level
audiences
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is
encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to
keep going when things get tough. Because better health outcomes are worth it.
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re
proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our
privacy notice for job applicants.
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. ABOUT THE TEAM Product Sales is a team of deep functional and technical specialists who both lead and advise on deals for the most strategically important products in Stripe’s portfolio. Stripe is investing in building out its Payments Product Sales team and as an Account Executive you will be a critical part of the team driving the growth of Stripe’s Optimized Checkout Suite. WHAT YOU’LL DO As an Account Executive, Optimized Checkout, you will use your sales and product expertise to help drive growth of Stripe’s payment across a range of customers. You will collaborate with product, engineering, marketing, and other GTM teams to develop deep product and industry knowledge and drive complex deals. You will be instrumental in leading in depth product discussions with existing and prospective customers – and building and executing against our go to market strategy. You are an adept sales professional, capable of engaging in business-level and technical conversations at multiple levels of the organization. You are used to building value in competitive situations and enjoy working on products that require deep product understanding, combined with technical knowledge. You’re as comfortable working with clients as with internal stakeholders. You’re excited to become an expert and to share your knowledge. You are an organized self-starter and an exceptional communicator with strong analytical abilities and a proven history of top performance and improving the teams you join. RESPONSIBILITIES * Accountable for driving revenue, increasing attach rates, and new client acquisition for a wide range of customers including Enterprises and Platforms * Create your strategic territory plan and lead outreach efforts to develop a robust, qualified pipeline * Develop relationships with executive stakeholders and lead discussions with existing and prospective customers * Deeply understand Stripe Payments, our Optimized Checkout Suite, and competitors, serving as both an internal and customer-facing expert on our product and the market * Engage with Product and Engineering teams to synthesize and relay customer feedback to inform Stripe’s product roadmap * Contribute to the development of go-to-market playbooks alongside product, marketing, sales, and technical services stakeholders * Work collaboratively and cross-functionally across the organization to help shape Stripe’s products and solutions to meet customer needs WHO YOU ARE We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 7+ years of customer facing experience at a leading technology or payments company and a track record of top performance * Experience building trusted advisor relationships with senior business leaders * Proven ability to build strong collaborative working relationships with cross-functional business partners * Self-starter capable of operating independently to drive meaningful business results * Enthusiastic “roll up your sleeves” mentality * Excellent verbal and written communication skills * Ability to understand complex technical requirements and craft solutions across multiple stakeholders * Proven experience to lead complex negotiations involving bespoke commercial agreements * Thrives in a fast-paced environment and changing requirements * True team player - always * Humor is very welcome PREFERRED QUALIFICATIONS * 3+ years of experience specifically selling payments or technology solutions to enterprise customers
WHO WE ARE WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses. Do you have strong data and analytical skills, with a passion for shaping business strategy? Can you architect, build, and apply modern data models to deliver impactful marketing insights? Are you seeking an exciting role with significant opportunities for leadership and growth? Then you might be the Senior Data Insights Consultant we are looking for! What will your day look like? As our new Senior Data Insights Consultant, you will join our growing Technology and Data team. Here, you will be a key leader in helping our clients make data-driven decisions to enhance their digital communication on an enterprise scale. This entails designing, enabling, and delivering complex data solutions and integrations for various campaign platforms. More specifically, your tasks will include: * Architecting, building, and delivering value-adding insights solutions, serving as a key advisor to clients on how to leverage their data assets to optimize large-scale communication strategies. * Performing advanced analysis to uncover actionable patterns, trends, and opportunities that directly inform client strategy and decision-making. * Designing and running test-and-learn programs (A/B tests, incrementality, holdouts) across channels to measure impact and continuously optimize communication performance. * Partnering with senior stakeholders to define strategic business questions and translating them into robust analytical frameworks and data roadmaps. * Supporting or leading the data-stream on complex, large-scale projects with globally recognised brands, ensuring that data solutions and integrations are designed and delivered for scalability and business impact. * Driving ongoing proactive client ideation — identifying new opportunities, use cases, and data-driven initiatives that help clients grow their business. * Helping drive agentic AI adoption, exploring and embedding agentic solutions into our data and insights workflows to enhance efficiency and client value. * Providing answers and insights to business-related questions via automated reporting solutions as well as ad-hoc data analyses, including building reports and insights dashboards within marketing platforms such as Adobe and Salesforce. * Mentoring, reviewing, and advising less senior team members — elevating quality, fostering technical excellence, and supporting their professional growth. * Collaborating with highly skilled specialists including Account Managers, Architects, Developers, Creatives, Strategists, Data Scientists and Marketing Operations experts to service our clients coherently. Who are you going to work with? You will join a team of hands-on Data Insights Consultants, Data Scientists and Data Engineers who are passionate about bringing value and knowledge from data. We are all about unlocking insights from data through analytics and making that insight applicable in 1:1 data-driven communication and CRM. Your work will always be firmly anchored in data in a cross-disciplinary setting, collaborating closely with highly enthusiastic experts from Strategy or Creative backgrounds. What do you bring to the table? As a person, you possess a strong consultancy mindset, demonstrating resilience, curiosity, and an eager-to-learn attitude. You combine this with strong business acumen, allowing you to understand and anticipate client needs effectively. You are outgoing and love being part of interdisciplinary projects and solutions. You are eager to learn and quick to understand the complexity of high-tech dialogues and solutions. Furthermore, you have the drive, enthusiasm, and technical credibility to act as the primary data and insights advisor for senior client leadership, guiding them through complex challenges and inspiring them to grow their business. It's an advantage if you have consulting, agency experience or marketing domain knowledge, but it's not a requirement. In addition, you have: Technical skills * A minimum of 5 years of experience in a consultant/business liaison role related to data, BI, analytics or reporting solutions. Can independently design, build, and optimize modern analytics solutions that are scalable, maintainable, and ready for real-world production use. * Write, debug, and optimize complex SQL queries, ensuring clarity, efficiency, and production readiness. * Design and build scalable dimensional data models from raw source systems (fact/dimension structures, performance-aware design). Apply strong data modelling principles, governance standards and practices that ensure data accuracy, consistency, and security. * Develop and manage DBT transformations using layered architecture, including testing and documentation best practices. * Build production-ready Power BI semantic models and dashboards, including advanced DAX measures, performance optimization, and secure data access (RLS). * Work collaboratively using GitHub, following structured branching, pull request, and code review workflows. * Familiarity with or a strong interest in the application of AI and agentic frameworks, and machine learning principles to generate conversational analytics, predictive and advanced marketing insights. * Comfortable working in modern cloud data environments (e.g., Snowflake, BigQuery, Databricks, Fabric). * Understanding the data structures and reporting capabilities within major marketing and martech platforms (e.g., Adobe Campaign/AJO, Salesforce Marketing Cloud). Ability to build and deliver reports and insights dashboards natively within these tools is a strong advantage Interpersonal skills * Technical stakeholder management and influence: A proven ability to build trust and act as a strategic partner to senior-level clients and internal leaders. You can confidently navigate complex, technical stakeholder environments and influence decision-making through data-driven reasoning. * Communication and storytelling: Exceptional written and verbal communication skills in English, with the ability to articulate complex data concepts and insights into clear, compelling narratives for both technical and senior business audiences. * Consultative and solutions-oriented mindset: The ability to critically assess complex business challenges, ask probing questions to uncover root causes, and propose robust, data-driven solutions. * Leadership and mentorship: Proven experience in coaching and mentoring junior team members. You actively foster a culture of technical excellence, collaboration, and continuous learning within the team. * Autonomy and critical thinking: You are a self-starter who can think critically, identify issues and opportunities autonomously, and take the initiative to propose and implement corrective actions. A leader in personalized customer experiences VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities. A global network We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com. WPP (MAP/VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. When you click “Apply now” below, your information is sent to MAP/VML. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our Privacy policy. California residents should read our California Recruitment Privacy Notice.
ABOUT US Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities. Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship. ABOUT THE ROLE As a Technology Manager in our Tech Data, AI & UX team, you will lead a high-impact engineering group responsible for building, scaling, and operationalising data and AI capabilities across Engelhart’s trading, quantitative, risk and operational functions. This is a hands-on leadership role at the intersection of data engineering, AI platform delivery, front-office technology, and commodities trading The role reports to the Global Head of Tech - AI, Data & UX and will play a central part in implementing Engelhart’s AI Business Plan. That plan positions AI as a federated capability enabled by a central Tech AI team with responsibilities across platform, governance and delivery, working closely with trading desks, Quant & Systematic teams, MOBO, Risk, Compliance, People, senior management, external AI providers, cloud providers, data providers, BTG Pactual, Gridfuse, Metdesk and other partners. This role will work directly with Traders, Quants, FO Analysts, Risk, Compliance and Technology stakeholders. Experience with systematic trading, quantitative research workflows, or trading analytics platforms is highly desirable. The successful candidate will help translate front-office needs into robust technical capabilities, ensuring that AI and data solutions are useful, trusted, governed and adopted in real workflows. The broader mandate is to help Engelhart move from experimentation to production-grade AI capability: improving productivity, making company knowledge searchable, enabling AI-assisted workflows, and embedding AI into analytics through initiatives such as Risk Copilot, Treasury Copilot, Power Forecast Copilot, Trader Copilot, and Quant Copilot. ABOUT YOUR TEAM You will manage a team consisting of four Senior Data Engineers and two AI & Agentic Platform Interns, guiding delivery across both the core data engineering estate and the emerging agentic AI platform. The Senior Data Engineers are focused on building and maintaining data pipelines, integrating and cleansing data, supporting analytical and operational use cases, and enabling predictive analytics, machine learning, data mining, and systematic trading initiatives. The AI & Agentic Platform Interns support the design and implementation of Engelhart’s central Agentic AI platform, including orchestration layers, agent runtimes, AWS Lambda integrations, MCP servers, agent skills, knowledge bases, vector databases, retrieval pipelines, and AI productivity tooling. BREAKDOWN OF RESPONSIBILITIES This will be a full-time role based in our London office and owning the following responsibilities: * Lead and develop the AI & Data engineering team, directly managing four Senior Data Engineers and two AI & Agentic Platform Interns, setting clear priorities, coaching technical growth, reviewing delivery quality, and ensuring the team operates with high ownership, collaboration, and continuous improvement. * Drive implementation of the Agentic AI platform, supporting orchestration layers, agent runtimes, AWS-hosted services, Lambda-based tooling, MCP servers, knowledge bases, vector databases, retrieval pipelines, agent skills and secure deployment patterns within Engelhart’s internal network. * Support implementation of the AI Business Plan, helping deliver the central Tech AI team’s mandate across platform, governance and delivery, and contributing to the strategic themes of productivity, knowledge and data discovery, AI-assisted workflows, and AI-assisted analytics. * Support delivery of AI use cases such as Trader Copilot, Quant Copilot, Risk Copilot, Treasury Copilot, Power Forecast Copilot, reconciliation automation, AI Explorer, text-to-SQL, Confluence/wiki agents, contract/vendor agents and self-service AI workflows where relevant to the agreed roadmap. * Own delivery of scalable data engineering capabilities across Engelhart’s data landscape, including ingestion of structured and unstructured data, data cleansing, enrichment, transformation, storage, distribution, visualisation and operational reuse for Data Scientists, Traders, Quant developers and business stakeholders. * Partner with Quant and Systematic teams to enable data, AI and engineering capabilities that support research workflows, model-adjacent analytics, signal review, back testing support, code review, documentation and systematic trading productivity, while respecting ownership boundaries with Quant and trading teams. * Translate front-office requirements into practical technology solutions, working closely with Traders, Quants, FO Analysts, Risk and other business teams to identify high-value opportunities. * Champion production-grade engineering standards, including robust architecture, secure data access, maintainable code, CI/CD, infrastructure-as-code, observability, documentation, testing and clear operational ownership. * Ensure AI solutions are governed appropriately, contributing to standards around evaluation, provenance, human-in-the-loop design, auditability, monitoring, access control and safe deployment in collaboration with Compliance, Risk, AI Security and senior Technology stakeholders. * Measure and communicate value delivered, helping connect technical delivery to adoption, cost savings, front-office efficiency and business impact. The AI Business Plan identifies annualised value delivered and value-weighted adoption as key success measures. ABOUT YOU This individual will be an experienced engineering manager from a commodities trading environment. Someone who is comfortable leading a team of senior engineers whilst remaining close enough to the architecture and code to challenge design decisions, unblock delivery and set a high technical bar. The successful individual will understand that AI adoption is not just about models or tools; it depends on data quality, platform reliability, governance, user trust and day-to-day workflow fit. We believe the following background, experiences and skills are essential for application: * Strong domain understanding of commodities trading is essential. * Academic background or equivalent professional experience in Computer Science, Engineering, Data Science, Information Systems, Quantitative Finance, Mathematics or a related technical field. * Significant experience leading data engineering, AI engineering, platform engineering or technology delivery teams in a demanding business environment. * Proven experience managing, coaching and developing engineers; including senior individual contributors and early-career technical talent. * Strong hands-on understanding of modern data engineering practices, including data ingestion, transformation, cleansing, storage, distribution, data quality, documentation and operational support. * Advanced proficiency in Python and the wider Python data ecosystem, including experience with Pandas or comparable libraries for data crawling, parsing, analysis and engineering workflows. * Experience with analytical, time-series, or large-scale data platforms. ClickHouse is preferred and Redshift is also relevant, based on the current technical landscape. * Strong experience with cloud-native engineering, preferably AWS, including practical understanding of services such as S3, Lambda, Athena, EMR, Fargate, Kinesis, EC2, API Gateway, CloudWatch, and related architecture and security patterns. * Hands-on experience with Docker, Git, CI/CD, infrastructure-as-code, and modern software delivery practices. * Practical understanding of AI, LLM, or Generative AI application architecture, including RAG, knowledge bases, vector databases, prompt engineering, evaluation, orchestration, agent workflows, or AI-assisted developer tooling. * Experience engaging directly with Traders, Quant developers, Data Scientists, analysts or front-office stakeholders to gather requirements, challenge assumptions and deliver useful technical solutions. * Strong understanding of commodities trading, particularly Oil, Power, and Gas; including the role of market data, analytics, risk, weather, fundamentals, trading workflows and front-office decision support. * Ability to translate complex technical concepts for both technical and non-technical audiences, influencing decisions and building trust with stakeholders across levels. * Strong organisational skills and a strong sense of ownership, accountability, and follow-through. Preferably with a bias toward delivering production-grade solutions rather than prototypes that do not land. In addition, the following experiences and skills are not required, but highly desirable for this role: * Commodities coverage: Oil, Power, and Gas. * Experience in systematic trading, quantitative research platforms, trading analytics, signal generation, back testing workflows, or model-adjacent engineering. * Practical exposure to agentic AI frameworks and implementation patterns, such as LangChain, n8n, MCP servers, AWS Bedrock, Postgres with pgvector, Bedrock Knowledge Bases, Pinecone, Chroma, or comparable tools. * Experience designing or operating secure internal AI platforms, including private model deployment, VPC-based architectures, data-access controls, auditability, monitoring, and vendor due diligence. * Familiarity with AI governance, evaluation suites, provenance, human-in-the-loop workflows, risk classification, model monitoring, audit trails, and compliance considerations such as the EU AI Act. * Experience with REST APIs, SSIS, Entity Framework, internal API design, Python packages, and integration patterns across enterprise systems. * Experience with big data technologies such as Apache Spark, Databricks, Parquet, or Hive. * Experience with data visualisation libraries or platforms, including Plotly or equivalent tooling. * Experience working with GitHub Copilot-style engineering workflows, internal AI chat, summarization pipelines, or AI productivity tooling. * Experience working in a federated technology model where a central platform team enables business-aligned teams to own and improve their own workflows. * Experience engaging with external data vendors, cloud providers, consulting partners, or group-level technology partners. WHAT WE OFFER * Competitive compensation and participation in Engelhart’s discretionary bonus plan. * 25 days of annual holiday entitlement, excluding UK public holidays. * Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company. * Eligibility to receive external and internal training in accordance with our Training & Development Policy. We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.