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Fifth Dimension is the most prominent AI company in real estate in the world, bringing the magic of AI automation to document-heavy industries. Our AI workspace helps leading investment managers, owners, and operators across the US, UK, and APAC automate complex workflows, extract insights from critical documents, and make faster, smarter decisions. We're looking for a Senior Product Manager, based in New York (preferred) or London, reporting to our Co-Founder & CPO, Johnny, and working alongside our other senior PM as a peer. This is a senior individual-contributor role: you'll own product end-to-end for a critical area, partner shoulder-to-shoulder with engineering, and get as close to customers as anyone in the company. There's no team to inherit or build, your impact comes from what you ship and the standards you hold. You're a builder who still ships. You can open Figma, write a brief, prototype in AI tools, cut scope, and make the call, and you back every decision with a commercial instinct for what actually drives adoption and revenue. We ship daily. You will too. We're a London, New York, and Singapore based startup with ample runway, backed by Tier 1 European and American investors. We've raised $22m at Series A and are growing 6x ARR year on year. Our founders, Johnny Morris and Dr. Kate Jarvis, bring a powerful blend of expertise (and spice ): Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups. • A senior IC who owns product end-to-end for a critical area, from customer insight through to shipped, polished product., • A builder who ships personally: Figma, briefs, prototypes in AI tools, scope calls, and the judgement to make them., • Turns product vision and live customer feedback into sharp, shipped product., • Carrier of product standards across engineering, customer success, sales, and customers., • Commercially wired — measures success in adoption and revenue, not features shipped., • Brings just enough process to keep things consistent (reliable, repeatable communication)., • A people-management role. This is an individual-contributor seat, there's no team to inherit or build, and no plans to add one for this role., • A process-only person. We don't want OKRs, PRDs, or roadmap theatre., • Someone who hasn't touched a product in 12 months., • Someone who needs the structure of a big company around them to be effective. We're leaving real value uncaptured because the product hasn't yet been run with a sharp, customer-obsessed hand on every detail. What should the product look like to immediately communicate intelligence and connectivity? How do the first 30 seconds of a demo show we're an intelligence platform, not a chatbot? Where does the product win deals today, and where does it quietly lose them? The problems here are genuinely novel. How do you present AI-extracted insights alongside source documents so a professional trusts them enough to make a $100M investment decision? How do you reason about agentic systems, evaluations, and probabilistic output, and still ship something customers rely on every day? How do you take something bespoke and turn it into something repeatable that ships? Imagine it's Month 1. You've diagnosed, delivered, and productified a major customer deliverable — taken something bespoke and made it repeatable. You're in customer sessions forming strong opinions on where the product is failing them, and pushing engineering on it. You know where the product wins demos and where it loses them. That's the pace. • Own and ship a product area. You own the product layer for your area end-to-end, customer insight through to pixel-level delivery, working shoulder-to-shoulder with engineering. We ship daily; you will too., • Turn vision and feedback into product. Take product direction and live customer feedback and convert it into sharp, shipped product, cutting scope, making the call, and holding the bar., • Get close to customers. Spend real time with enterprise customers, including the high-stakes conversations (renewals, a broken workflow, a promise made and kept). Bring what you learn straight back into the product., • Drive adoption and revenue. Sharpen how the product demos and sells so it visibly drives adoption and revenue, not just feature count. You'll see your decisions in the numbers., • Invent AI-native product. Agentic workflows, streaming outputs, document intelligence, confidence signals, human-AI collaboration. There's no playbook, you'll help write it, and use AI tools to collapse the gap between idea and shipped., • Keep the signal flowing. Bring light, reliable process, the consistent weekly updates and shared context that keep founders, engineering, and customers aligned without slowing anyone down. You're a senior product person who never stopped building. You've shipped product to real customers and you shipped something yourself in the last 12 months, you can open Figma, write a brief, prototype in AI tools, cut scope, and make the call. You're commercially wired: you think about adoption and revenue, not just what made it into the release. You're genuinely AI-native. You've shipped AI product that customers use, you have opinions about agentic systems, and you can reason about evaluations and probabilistic output. That shows up in your own craft too, you work in AI-native tooling, you'll ship a small code change to unblock yourself, and AI has genuinely changed how you work. "I use ChatGPT and Figma sometimes" isn't what we mean. You've been in the high-stakes customer conversations, a renewal on the line, a product that broke, a promise you had to make and keep, and you can talk through exactly how you handled them. You thrive in startup pace: high ownership, comfortable with ambiguity, curious, and an active communicator. You bring just enough process to be consistent, because you know that's where founders often need the most help. • Shipped AI product that real customers use, with real opinions on agentic systems, evaluations, and probabilistic output. (Must-have.), • Deep personal AI craft, AI-native in your own workflow (e.g. Claude and AI-native tooling, shipping small code changes yourself), not AI as a novelty. (Must-have.), • A commercial mindset, you measure yourself on adoption and revenue, and you understand how enterprise buyers evaluate, adopt, and expand. (Must-have.), • Still a builder, shipped product personally in the last 12 months: opens Figma, writes briefs, prototypes, cuts scope, makes the call., • Battle-tested in high-stakes customer conversations, renewals, a broken product, promises made and kept, and able to walk through them in detail., • Thrives in startup pace, high ownership, comfortable with ambiguity, curious, an active communicator, and brings just enough process to stay consistent., • Domain knowledge in a specialist professional field, real estate, finance, legal, insurance, healthcare, or construction. Not required, but we expect you to do the research., • Experience with complex data products, extraction, search, intelligence, analytics, not pure SaaS CRUD., • Platform instinct, thinks in systems, APIs, skills, and compounding, not just features., • Can touch code, enough to prototype or unblock yourself. You've diagnosed, delivered, and productified a major customer deliverable, turned something bespoke into something repeatable that ships. You're in customer sessions forming strong opinions on where the product is failing them and pushing engineering on it. You understand the product: where it wins demos and where it loses them. Deep customer wins from the product being closer to customers than it's ever been, at least one account where the breakthrough came from you. The first measurable improvements to how we demo and sell are live, and you're on top of the metrics that matter: latency, trust, accuracy, adoption. The product is the reason we're winning deals we wouldn't have won six months ago. Multiple deep customer wins where the compound effect is visible, better data, better workflows, higher adoption, expansion revenue, and product-led growth that's real and measurable, not a narrative. We're hybrid three days a week in our New York (preferred) or London office. • £100,000–£150,000 base, plus meaningful equity. Flexible based on experience and seniority, • Meaningful equity on a standard vesting schedule, • 401(k) plan (US) or enhanced pension contributions (UK), • Generous paid time off, • Health, dental, and life insurance (US) or private healthcare via BUPA (UK), • Enhanced parental leave: 14 weeks for the primary caregiver, 6 weeks for the secondary caregiver, • Tailored support for exceptional challenges, different for everyone, • 2-week all-company December shutdown #J-18808-Ljbffr

Job Description If you are a current Jazz employee please apply via the Internal Career site. /n Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information. /n Brief Description: /n The Director, Patient-Centered Outcomes is a high-visibility, scientific, and strategic leadership role within the Global Evidence & Value Generation (EVG) organization. Reporting to the Head of Patient-Centered Outcomes, this leader will architect and execute global clinical outcome assessment (COA), patient experience data (PED), and patient-reported outcome (PRO) strategies. /n The primary mandate encompasses steering the patient-focused evidence strategies for Jazz's cornerstone oncology launch and lifecycle programs: /n /n - Neuro-Oncology: Accelerating peri-launch evidence, label negotiation, and patient/caregiver-centric value demonstration in rare neuro-oncology (diffuse midline gliomas / DIPG). /n - Oncology (Solid tumors): Driving registrational and lifecycle COA evidence generation across multiple solid tumor indications (including biliary tract cancer [BTC], gastroesophageal adenocarcinoma [GEA], breast cancer, and subsequent indication expansions). /n - Oncology & Cross-Therapeutic Pipeline: Future-proofing early-phase assets (Phase 1b through Phase 2) by defining fit-for-purpose measurement strategies aligned to Target Product Profiles (TPPs). /n /n This role requires a commercially astute and regulatory-experienced strategist capable of balancing scientific rigor with urgent commercial and market access timelines, demonstrating the humanistic value of Jazz therapies to Health Authorities, payers, clinicians, and patients globally. /n Essential Functions/Responsibilities /n 1. Strategic Leadership for Launch & Lifecycle Brands (Neuro-Onc/Onc) /n • Neuro-Oncology Launch Leadership: /n /n - Formulate and deliver patient-focused evidence packages highlighting symptom relief, functional preservation, neurological stability, and tolerability in rare neuro-oncology populations. /n - Formulate specialized pediatric, adolescent, and caregiver proxy measurement strategies tailored to diffuse midline glioma/DIPG realities, addressing cognitive and motor decline. /n - Execute post-hoc analyses, qualitative exit interviews, and real-world burden-of-illness studies to bolster early launch narrative, scientific publications, and reimbursement dossiers. /n /n • Oncology Global Launch & Indication Expansion: /n /n - Lead end-to-end PRO and COA strategy across primary launch indications (e.g., HER2-amplified BTC) and major lifecycle expansion programs (e.g., GEA, colorectal, metastatic breast cancer). /n - Design comparative patient-centered evidence strategies demonstrating superior tolerability, quality of life (HRQoL), and/or delay in physical deterioration versus standard-of-care systemic regimens. /n - Partner with Global Value & HEOR (GVHEOR) to incorporate PRO endpoints into cost-effectiveness models, joint clinical assessments (EU HTA / JCA), ICER submissions, and global value dossiers (GVDs). /n /n 2. Pipeline Architecture & Early Measurement Strategy /n /n - Partner with early development teams to map the measurement landscape, construct disease conceptual models, and establish COA roadmaps from Phase 1b proof-of-mechanism into Phase 2 proof-of-concept. /n - Identify unmet patient-relevant needs early in development to influence Target Product Profiles (TPPs), clinical protocols, and long-term asset differentiation strategies. /n /n 3. Regulatory Strategy, Label Negotiations, & Scientific Advice /n /n - Serve as the PCO lead across regulatory milestones, including briefing document authoring, Type C meetings, FDA PFDD consultations, and EMA scientific advice procedures. /n - Leverage deep operational knowledge of FDA PFDD Guidances (1–4), FDA 2009 PRO Guidance, and EMA reflection papers to design endpoints eligible for product labeling and differentiation. /n - Author and defend regulatory submission sections (e.g., Module 2.7.3/2.7.4 clinical summaries, Integrated Summary of Efficacy, and COA evidence dossiers) to secure regulatory label claims. /n /n 4. Scientific Rigor, Clinical Trial Integration, & Digital Innovation /n /n - Oversee qualitative concept elicitation, cognitive debriefing, psychometric validation (Classical Test Theory and Item Response Theory/Rasch analysis), and translatability assessments across global studies. /n - Author COA sections within clinical trial protocols, Statistical Analysis Plans (SAPs), and Clinical Study Reports (CSRs) across all registrational and lifecycle studies. /n - Spearhead global eCOA/ePRO implementation, including instrument licensing, translation/linguistic validation across 40+ countries, electronic migration testing, and site investigator training. /n - Explore and implement innovative Digital Health Technologies (DHTs), wearable biometric sensors, and decentralized assessment methods to capture real-time physical function and performance outcomes. /n /n 5. Cross-Functional Matrix Collaboration & External Engagement /n /n - Serve as the primary PCO strategic partner to Global Medical Affairs, Commercial Brand Leads, Pricing & Market Access, Biostatistics, Clinical Operations, Clinical Development, and Regulatory Affairs. /n - Partner with Global Patient Advocacy to weave authentic patient and caregiver voices into trial protocols, clinical endpoints, and disease-burden research. /n - Manage external scientific vendors, academic research organizations (AROs), and clinical outcome consultants, maintaining strict budget oversight and high-quality deliverables. /n - Represent Jazz in external consortia (e.g., ISPOR, ISOQOL, C-Path, Critical Path Institute eCOA Consortium) and lead peer-reviewed scientific publications and congress presentations. /n /n 6. Team Leadership & Talent Development /n • Mentor and foster the professional growth of junior PCO scientists and fellows, championing a culture of scientific curiosity, strategic agility, and collaborative excellence. /n Required Knowledge, Skills, and Abilities /n /n - Industry Experience: Minimum of 8–10+ years of dedicated experience in Patient-Centered Outcomes (PCO), Clinical Outcome Assessments (COAs), Patient-Reported Outcomes (PROs), or HEOR within a global biopharmaceutical company or premier specialized consultancy. /n - Oncology Launch & Lifecycle Expertise: Demonstrated success driving COA/PRO strategies for commercial launches, registrational oncology filings, or major lifecycle expansions in solid tumors (e.g., GI, breast, thoracic) and/or neuro-oncology. /n - Regulatory Track Record: Direct experience authoring regulatory briefing documents, engaging with health authorities (FDA, EMA, PMDA), and navigating FDA PFDD guidances to support label claims and review procedures. /n - Methodological Expertise: Strong command of psychometric evaluation methods, mixed-methods research design, qualitative interviewing, and questionnaire development/validation. /n - Payer & HTA Fluency: Deep understanding of how patient-reported evidence integrates into global payer requirements, HTA methodologies (e.g., EU JCA, NICE, CADTH, ICER), and commercial value narratives. /n - Technical & eCOA Execution: Hands-on experience directing global eCOA/ePRO trial operations, vendor management, and protocol integration. /n - Communication & Executive Presence: Exceptional communication and presentation skills; proven ability to articulate complex psychometric data and strategic rationales to executive leadership, commercial stakeholders, and regulatory panels. /n /n Required/Preferred Education and Licenses /n /n - Advanced Degree (Required): Master's degree (MS, MPH) or Doctoral degree (PhD, PharmD, MD) in Psychometrics, Health Outcomes Research, Health Economics, Epidemiology, Public Health, Behavioral Sciences, Psychology, or related quantitative/clinical discipline. /n - Doctoral degree (PhD/PharmD) strongly preferred. /n /n #LI-DM1 /n #LI-Remote /n Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. /n FOR US BASED CANDIDATES ONLY /n Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitiv

With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world’s most forward-thinking companies. We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people. So, what are you waiting for? Join us and help us transform the future of work once and for all. What’s ahead — and why it’s an exciting time to join the team: Deepening our native integrations with SAP, Workday, Microsoft, and LinkedIn to seamlessly embed our skills intelligence into the platforms where critical workforce decisions are made. Embedding our agentic AI to help customers plan smarter for the future—powering workforce strategies, internal mobility, and skills forecasting. Advancing our use of proprietary LLMs and knowledge graph technology to help organizations unlock broader talent pools, make fairer decisions, and expand access to opportunity at scale. But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work. Our data platform powers Beamery’s reporting and underpins our AI strategy. We’re hiring a Staff Data Engineer to set its technical direction. This is our most senior individual contributor role in data engineering. You’ll own the platform’s long-term architecture, make the calls that are expensive to reverse, and lead the work that follows. You’ll also partner with EPD leadership (Engineering, Product, and Design) on work that crosses team boundaries, and on keeping the platform aligned with company strategy. The platform exists so everyone at Beamery can make faster decisions with data they trust. The role suits someone energised by ambiguity who measures impact by what the organisation can do rather than what they personally shipped. • Own the technical strategy for the data platform. Define the multi-quarter architectural vision, build the case for investment with EPD leadership, and sequence delivery incrementally rather than as a big-bang migration. You take on the work with no established playbook and turn it into designs the team can execute. Expect challenges around multi-tenant consistency, correctness at scale, performance ceilings, and data modelling for AI and agentic workloads., • Architect the analytics, semantic, and AI data layers. Define how core business metrics, feature usage signals, and skills and task intelligence data are modelled, governed, and exposed as trustworthy products to BI, self-service, and AI consumers., • Set standards that scale beyond your team. Establish the architectural patterns, modelling conventions, and data contracts other teams adopt, favouring guardrails over review gates. Grow senior engineers into stronger technical decision-makers through design review, pairing, and mentorship., • Own reliability and trust at the platform level. Set our approach to observability, data quality, SLAs, and incident response; lead RCAs on the most serious failures and drive the systemic fixes that prevent recurrence. You’re a staff-level data engineer who has built and run data platforms for internal and external consumers. You’ve built architectures that held up as they grew with a focus on data warehousing, data lakes, and both real-time and batch processing. Teams bring you their hardest data problems. You’ve made the hard tradeoffs in distributed, multi-tenant systems and lived with the consequences. You’re just as comfortable in production: tracing how one upstream failure ripples through to customers, and making sound calls under pressure. Your impact isn’t measured in code alone. You’ve led initiatives across team boundaries without formal authority, working directly with principal engineers, platform teams, and data scientists, and treating their constraints as part of your design problem. You’ve made architectural decisions others built on for years, and driven modernisation while balancing new technology against real delivery risk. You work with minimal direction, explain tradeoffs and risks credibly to executive audiences, and change your mind as readily as you defend a position. • Data transformations using dbt, including patterns for large, complex projects, • Data storage (SQL / NoSQL): schema design, modelling at scale, and multi-tenant isolation, • Back-end engineering: Python (nice to have: Typescript/Node.JS), • Pipelines: streaming, CDC, correctness, replayability, and evolution over time, • Data quality and observability: validation, testing, data contracts, monitoring, alerting, and incident response, • Infrastructure as code and containerisation (Terraform, Kubernetes) Our stack will change as we grow, and you’ll be shaping those changes. The ability to learn new tools matters more than experience with any specific one. • DBT for data modelling and transformation, • BigQuery data warehouse, • Kafka for data streaming between systems, • PostgreSQL & MongoDB for databases, • Typescript/Node.JS on the backend, • Kubernetes, • Python, • Segment for customer-centric event collection Beamery is open to engage with direct employment or contractors for this position in order to find the right fit candidate to join our team. Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email Visit our Diversity, Equality and Inclusion page to learn more about progress and commitments. #J-18808-Ljbffr

At Beam, we’re building AI that serves society. We're a global team of ambitious, hardworking problem solvers, applying fast-moving startup energy to work that makes the world a better place. If you want to apply your talent to the biggest problems society faces, Beam is the place for you. You’ll be part of a high-performance culture where you'll make a huge impact, rapidly progress your career, and truly enjoy your work. Over 100,000 frontline workers already use Beam to take notes, provide live interpretation and handle phone calls, so they can focus on the people who need them most. This is just the beginning. This isn't just another enterprise sales role. This is a rare opportunity to be the architect of our next major growth engine. We are a high-growth, mission-driven Series A tech startup that has identified a significant, untapped market: large-scale government contractors. The early signals are strong, with initial deals already hitting 6-figure ACVs and a clear path to 7-figure, landmark partnerships that will lay the foundation for our international expansion. We're looking for a Spanish speaking Enterprise Account Executive to build this vertical from the ground up. You will not be inheriting a playbook; you will be co-authoring it. You will have the autonomy to define the go-to-market strategy, test new approaches, and shape the future of what could become our most significant business unit. If you are a builder who is hungry to create a legacy and thrives on closing complex, high-impact deals, this is your defining career move. Architect and Close Landmark Deals: You will own the full sales cycle for our most strategic accounts in this new vertical. You will command a complex, 6+ month sales process from initial outreach and strategic mapping to C-suite negotiation and signature. Build the Go-to-Market Playbook: As the pioneer in this vertical, your insights will be the foundation of our sales motion. You will systematically test, learn, and document the strategies, messaging, and processes that will enable us to scale and repeat success. Orchestrate Complex Stakeholder Networks: You will be the central point of contact, masterfully navigating and influencing a complex web of stakeholders, from C-level executives and procurement officers in the contracting organisations to policy leaders and operational heads within government agencies. Execute with Precision: Employ a rigorous, MEDDPICC-informed methodology to qualify opportunities with discipline, run deep discovery to uncover critical business pains, and build unassailable business cases that tie our solution to transformative outcomes. Co-create Visionary Solutions: Partner closely with our C-Suite, Product, and Delivery teams to design bespoke, enterprise-level solutions and pilot programs that not only win deals but also ensure our clients achieve incredible, measurable success. A Track Record of Enterprise Excellence: You have a history of exceeding quota by closing complex, multi-year SaaS deals with an ACV of £100k+. You've seen 7-figure deals and have the ambition and skill to find them. Expertise in Complex Procurement: You have direct experience selling into complex environments such as the public sector or within regulated industries (e.g., finance/health). You know how to navigate intricate procurement cycles, tenders, and framework agreements. An Entrepreneurial Builder's Mindset: You are a self-starter who excels in ambiguity. You see a blank slate not as a challenge, but as an opportunity. You have a knack for creative prospecting and pipeline generation and are driven to build something from scratch. C-Suite Credibility & Executive Presence: You communicate with gravitas and clarity. You are a natural at building rapport with senior executives, leading high-stakes meetings, and becoming a trusted advisor. Strategic Discipline (MEDDPICC or similar): You view a structured sales methodology not as a framework to follow, but as a strategic tool to gain control, mitigate risk, and forecast with accuracy in complex environments. A Deeply Held Mission-Driven Ethos: You are motivated by more than just the commission; you want your work to have a tangible, positive impact on society. Spanish fluency Consistently exceeding your revenue targets through a portfolio of high-value, multi-year partnerships. Building a robust, predictable pipeline that establishes our success in the vertical. Successfully creating and validating the GTM playbook that the future sales team will be built upon. Becoming the go-to expert and a trusted advisor for senior leaders within our target accounts. Generous EMI-qualifying share options Access to therapy, coaching, classes & content - powered by Oliva Your own financial well-being coach, through Bippit Generous Holiday - 25 days with 3 additional days over the Christmas period + bank holidays Work remotely up to 6 weeks a year Eligible for a 6-week sabbatical after 3 years in service Nursery scheme through Gogeta Healthcare cover through Benenden Health Enhanced parental leave: Primary Caregiver leave 18 weeks and Secondary Caregiver leave 4 weeks £200 WellBeam budget for activities enhancing wellbeing and professional development Annual membership to Shoreditch Exchange gym (London office only) Pension scheme where we contribute 3% of your salary and you contribute 5%. Free subscription to the Calm meditation app Discounted bike and accessories with Cyclescheme, and tech products with Techscheme We’ve picked up an armful of awards for our work, including one from our former Queen. We've also been named by WIRED as one of London's 10 hottest startups and by LinkedIn as a Top 15 UK Startup. Meanwhile, we've been covered in the media literally thousands of times, including the likes of The FT, BBC, TechCrunch, Forbes and The Guardian. We’re also proud to be backed by some of the world's leading tech investors and entrepreneurs, including the founders of Booking.com, Calm, Shazam and Dropbox. Start your journey to a more impactful career today. We're excited to hear from you. Reasonable adjustments: Beam is committed to fostering an inclusive, diverse, and supportive work environment for all employees. This policy extends to our hiring practices. We recognise that some candidates may need additional support during their hiring process to give them the best chance of being a success. To ensure that all candidates have an equitable opportunity during their process, we are committed to providing reasonable adjustments where required. If you require a reasonable adjustment to be made during your process, please let your Talent Partner know. We encourage you to share this information, but there is no obligation to do so. Please be reassured that any reasonable adjustment requests will not be taken into account when making a decision about your candidacy. #J-18808-Ljbffr

NALA is building Payments for the Next Billion. Faster, smarter, and fairer transfers for everyone. Since 2022, we've grown our business 120x, grown the team from 9 to 150+, raised $50M+ from top-tier investors, and were named to the Forbes Fintech 50 in 2025 & 2026. • NALA, our consumer app makes cross-border payments cheaper, faster and more reliable for the global diaspora. Allowing users to send money from the UK, US and EU to Africa and Asia, • Rafiki, our B2B payments infrastructure, is powering global payments for global giants like MoneyGram & Western Union We are refactoring the warehouse for agents and cutting its cost. Analysts, operators, executives, and agents depend on the warehouse. The same question has to return one answer. As Senior Analytics Engineer, you own the transformation layer in dbt and Snowflake. You make it dependable: well modelled, tested, documented, and clear enough that a person or an agent can trust an answer. You are the data-engineering bar for the team, and you work alongside our other analytics engineer. You get up to speed on the stack we have, then help build the post-AI data stack: artifacts an agent can read, tools an agent can operate, context we own, and one reality the company can check. You set the quality standard by example. You are strong enough to shape the data stack over the long run. • Own the modelling and transformation of your domains end to end in dbt and Snowflake, from the business question through to the governed model that answers it, • Set and defend modelling methodology alongside our existing Analytics Engineer, grain, dimensional patterns, and where the exceptions genuinely earn their place, • Make your models agent-ready: semantically rich, consistently named, described in business terms, and safe for something to query without a person checking the output, • Own streaming and near-real-time pipelines (Kafka or similar) alongside batch transformation, keeping real-time flows reliable and cost-efficient before they become a bottleneck, • Establish and enforce coding and agentic-coding standards, systematic testing and documentation as CI-enforced defaults, • Optimise warehouse performance and cost, finding and fixing the query patterns and materialisation choices driving unnecessary spend, • Deploy and supervise autonomous agents against our data stack, and hold our data infrastructure to proper engineering standards: monitored, wired to incident.io and PagerDuty, with escalations, SLAs and documented processes, • Support and mentor analysts on analytics-engineering practice, raising the engineering standard across the team, • Three or more years of production dbt. You can defend a modelling methodology. Kimball sits inside that defence: grain, facts, dimensions, and where a wide table is the wrong choice, • A semantic layer you have used in production. You can explain metrics, dimensions, grain, and joins, and how an agent reads them, • Streaming and warehouse scale. You have owned CDC or another stream, incremental transforms, and a freshness choice with a cost. You can say when a batch model is the wrong place for a high-frequency number, and what sits beside the warehouse: a stream, a low-latency table, or a semantic API, • Snowflake or Databricks. You have worked on cost and scale: incremental versus full refresh, clustering, and a lag target a consumer needs, • Orchestration. You have scheduled, monitored, and repaired a pipeline in Airflow, Dagster, or an equivalent, • CI/CD and deployment management. You have run a project where a pull request builds the changed models and their downstream dependencies against production state, writes them to an isolated schema or clone, and promotes that same selection after merge. You can describe the path from a developer environment through CI into production, how a bad deploy is stopped or rolled back, and the signal that a deploy succeeded, • Three or more years of production Python. You have shipped Python in a pipeline: transforms and checks that run without you. A take-home test, or a notebook, is not this requirement, • You are passionate about building with agents and for agents. Serving agents data at scale is a problem you want. You have used frontier tooling to automate a traditional analytics workload, such as a recurring model change, a reconciliation, or a report. You can show the outcome in time or volume. You can explain how that system is observed, how it is governed, and how it scales past one person on a laptop, • An ontology, or a business entity model, on top of a semantic layer, • A distributed engine such as Spark or Trino, used on data that did not fit a single warehouse query, • Fintech, payments, or another regulated environment, • You own the transformation layer and can name the models people do not trust, the numbers that disagree, and the queries that cost money, • A change to a live model is agreed and visible before it lands, • A teammate can follow your reasoning without a long private explanation, • You have one automation a teammate can run, with a before and after in time or volume, • The team uses the automation you taught them, and you can show the hours or the volume it changed Before you apply, take a look at our Extra Preparation guide, covering our engineering philosophy, tech stack, and what to expect at each interview stage. You will need to first submit your application through our ATS Workable. There is no need to submit a Cover Letter. If successful you will be selected for our interview process, which has the following stages: • [30mins] Interview with the Talent Team, • We want to get to know you and follow up on your experience and motivations. The best preparation is to really know why you applied for the role, including your application questions., • [45mins] Interview with the Hiring Manager, • You'll meet Parth, who leads our Data team. This goes deep on how you have used dbt to solve business problems, how you think about modelling, and how you actually work with AI. The best preparation is to know what's on your CV really well., • Take-Home Task, • A real-world task, scoped at around 2 to 3 hours, with a week to return it. Full use of AI tooling is encouraged, and we ask you to share your prompts alongside the work. It is how we build, and we would rather see it than pretend otherwise, • [1hr] Technical Deep Dive with the Data Team, • You present your take-home to two members of the data team and field questions on your architecture and decisions., • [45mins] Bar Raiser, • A final conversation with a member of our leadership team about track record, ambition and motivations, and your chance to ask whatever you still want to know about the business, • Private Medical Insurance: Full medical cover through a leading UK provider, because your health comes first, • 27 Days Off Plus UK Bank Holidays: Take the time to decompress. Working at a startup is hard!, • Birthday Leave: Celebrate your special day with a bonus day off to take in that month, • Enhanced Parental Leave: We offer 16 weeks of full pay for the primary caregiver and 4 weeks of full pay for the secondary caregiver (after a 6-month probationary period), • Enhanced Pension: Salary sacrifice pension scheme via Penfold, giving you flexibility and control over how you save for your future, • Life Insurance: 3x salary cover, giving you and your family peace of mind, • Global Workspace: Get access to WeWork locations worldwide, • Hybrid Working: We work in our Canary Wharf Office four days a week (Monday, Wednesday, Thursday and Friday), • Learning Budget: Fuel your growth with $1000 annually for learning and development, • Sarabi: Themed snacks and Friday lunch focused on building great working relationships with the team, • Monthly Socials: Join fun social events every month for great times, • Free Coffee: Enjoy barista-style coffee at your fingertips #J-18808-Ljbffr

As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide. With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. The ECM Head of Innovation role focuses on driving innovative outcomes working with NT’s AI tooling and capabilities to drive influence, compliance, transparency and productivity returns alongside the Enterprise Change Management Office. The ECM Head of Innovation will interact and engage with all levels of Northern Trust to inspire and drive consistency and scalability in order to achieve sustainable success in change delivery across the enterprise. We are seeking an individual to operate at the intersection of AI, data and business transformation. This individual will be required to work directly with end users and leadership teams to understand workflows, identify transformation opportunities, rapidly prototype solutions and drive production adoption. The ideal candidate combines strong technical expertise with exceptional business acumen and excels in ambiguous, high-impact environments where technology and organizational change must advance together. The Head of Innovation will be responsible for setting up and overseeing the internal structure for innovation across ECM, defining and implementing an executable framework and supporting the adoption of innovation programs and structures across the bank. This will include creating and/or updating policies, procedures, and controls that align with organizational goals, innovation structures and regulatory requirements. Design future-state operating models that leverage technology and AI to improve efficiency, risk-management, and decision-making Embed alongside core ECM delivery pillars (EPMO, G&O and OCM) and Business teams to understand current state processes and identify opportunities to augment or automate workflows using AI, data products and automation technologies Deploy and integrate AI, analytics and workflow solutions into enterprise platforms and business processes Build prototypes and production ready solutions that demonstrate measurable business value Partner with enterprise initiatives (e.g. AI Horizon) to leverage capability and inform strategic journey aligned to Change adoption, improvement and driven productivity solutions Design multi-year implementation roadmaps to power accelerated and transparent execution, automated workflow management and uplifted controls, reporting, oversight and monitoring; influence product, platform, and data roadmaps based on real-world business needs and adoption patterns Develop integrations, APIs, automation workflows, and custom applications that connect enterprise systems and data assets Work closely with architecture, engineering, and platform teams to ensure innovative solutions are scalable and supportable Responsible for continuous improvement and automation of business processes, leveraging tools and technology to automate intake, assessments and/or reporting Partner with Hub & Spoke enterprise Change teams to drive adoption, training and stakeholder engagement and business readiness Be a Change Champion across ECM and the wider enterprise, support implementation of solutions and drive uplift of innovation skills across ECM’s partners through AI enablement and other tooling Define and implement strategic feedback loops; capturing insights from deployment activities and user interactions Work closely with Organizational Change Management (OCM), to support the stand up of ECM’s center of excellence and advisory capability across NT, with an enhanced readiness and adoption toolkit Strong ability to understand complex business problems and rapidly translate them into pragmatic technical solutions Experience implementing AI copilots, agentic workflows, RAG architectures, or intelligent automation solutions Familiarity with orchestration frameworks, vector databases, and prompt engineering concepts Hands-on experience with Azure, AWS, or GCP preferred Experience working with enterprise data platforms such as Snowflake, Databricks, Azure Data Platform, or similar Ability to influence stakeholders and build alignment across business, technology, risk, and operations teams Comfortable engaging with both senior executives and technical practitioners Able to explain complex technical concepts in simple business language Thrives in fast-moving environments with evolving requirements and unclear problem definitions Focuses on measurable business impact rather than technical implementation alone Takes responsibility from problem identification through deployment, adoption, and value realization Bachelor’s degree in Business Administration, Management, or a related field. An advanced degree or certification in Program Management (PMP, CAPM) and/or Organizational Change Management (CCMP, CMS) is preferred. Proven experience in executing and implementing AI models and/or tooling, preferably within a change management context. Strong understanding of change management principles and practices, and the ability to apply this understanding for automation, RPA and AI enablement. Excellent organizational and leadership skills, with the ability to manage complex processes and workflows. Strong analytical skills, with the ability to create reports and provide insights into the change management process. Ability to identify, scope, plan and assess change initiatives Experience with portfolio, program and change management applications/tools, and the ability to oversee their use within a business context. #LI-Hybrid Salary Range: $164,600 - 288,000 USD Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component. Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa). As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve. Philanthropy is deeply rooted in Northern Trust’s history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities. Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at , or alternatively you can discuss your individual requirements with the recruiter you are working with. #J-18808-Ljbffr

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. FactSet's Metals & Mining Deep Sector Strategy delivers critical data and analysis to a client base of mining specialists and analysts across investment banks, investment funds, wealth management, and mining corporates. We build thoughtful products and analysis that matter to our mining-specific clients, and we are actively growing. As Senior Content Manager, Metals & Mining, you will have real ownership over FactSet's content collection initiatives in this sector, reporting directly to the Head of Metals & Mining. You will bring expertise in granular databases, data model architecture, and AI-driven content collection and curation to lead a team delivering high-quality mining datasets to some of the most sophisticated investors and analysts in the industry. • Partner with internal and external professionals to coordinate Metals & Mining data collection, research, and analytics, directly influencing the product strategy and roadmap, • Collaborate with product and thought leadership teams to build cross-sector content that serves both specialist and generalist workflows, • Engage directly with high-value clients, acting as a knowledgeable resource on FactSet's Metals & Mining content and gathering feedback that shapes our direction, • Conduct research and analysis and build quantitative models that demonstrate the value of FactSet's Metals & Mining content, • Lead the development and delivery of content sets and products, • Ensure effective QA/QC and TACCU measures are in place, • Stay current on industry trends and serve as an internal expert on our mining datasets, • Bachelor’s degree, • Minimum 7 years of experience in content collection operations, strategy, and management, • Strong background in content curation, collection, and development, • Experience with granular databases and data model architecture, • Strong quantitative aptitude and qualitative reasoning skills, • Proven analytical, problem-solving, planning, and project management skills with a track record of delivering on time, • Ability to translate Metals & Mining strategies into specific priorities and objectives for content collection and product teams, • Experience interacting with users to gain insights and feedback and translate those insights into value, • Experience executing across multiple teams and products simultaneously, • Mining or Natural Resource background, • Familiarity with client workflows and FactSet client types For candidates in the U.S.: Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future • The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up, • Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, and family leave, • Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives, • A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions, • Career progression planning with dedicated time each month for learning and development, • Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging., • Secure your future with our discounted employee stock purchase program and 401K matching, • 3 weeks paid time off your first year of employment, • No or low-cost medical, dental and vision care, • Reimbursement for eligible expenses related to the CFA, CIPM, CAIA and FRM exams, • Wellness programs including gym discounts and more, • 16 weeks paid parental leave for the primary caregiver (4 weeks for secondary), • Employee referral bonuses Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. The budgeted salary range for this position in the states of California, Colorado, Connecticut, and New York is $124,000-$155,000. The budgeted salary range for this position on Canada is C$117,000-$153,000. Please note: the salary range may differ in other locations or countries. FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more atwww.factset.comand follow us onXandLinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or other characteristics protected by law. FactSet participates in E-Verify #J-18808-Ljbffr

GSK • Enterprise AI GSK’s Enterprise AI team, a highly skilled applied AI group, translates the promise of AI into measurable impact across every major group at GSK — R&D, Medical, Commercial, Supply Chain, HR, Legal, Finance, and beyond. Bionic pods — AI product managers, forward deployed engineers, full-stack engineers, data engineers, and digital workers — embed directly with scientific and business teams to build AI products that change outcomes. We are hiring a Staff, Marketing Automation & AI Product Manager to own a major slice of our marketing enablement opportunity portfolio — marketing automation, content supply chain and assembly, the marketing experience layer, campaign management, and performance measurement and act as the strategic counterpart to the engineers and digital workers in your pod, setting the forward deployed strategy they execute against. This is a senior individual contributor role for someone who can identify and shape high-value AI opportunities within marketing enablement, build the case to fund and deploy against them, and ensure FDEs are working on what matters most. You will not manage engineers; you will shape what they build in your domain and how we measure whether it worked. Forward deployed teams are most powerful when paired with sharp opportunity selection. Enterprise AI has no separate strategy layer: the AI Product Manager sets the forward deployed strategy, and the pod executes it. This role closes that gap at this level by ensuring the engineers we deploy are working on the right things. In this role you will be the person who: Owns a clear domain or capability area within the Enterprise AI opportunity portfolio. Identifies, sizes, and shapes the highest-value AI opportunities in that domain. Partners daily with forward deployed, full-stack, and data engineering leads to scope and steer engagements end-to-end. Builds the business and executive alignment the pod needs to land and scale. This is not a traditional enterprise product role managing a source system’s roadmap, releases, and backlog. As an AI Product Manager in Enterprise AI, you: Build new AI products from ambiguous, unsolved business problems rather than evolving an established platform. Work with probabilistic systems — defining evaluations, acceptable error, and human oversight instead of fixed functional requirements. Help lead a bionic pod, deciding which work goes to engineers and which to digital workers, and how they hand off. Prototype hands on and are measured on business outcomes, not features shipped or system uptime. Hunt for high-value AI opportunities across marketing automation, content supply chain and assembly, the marketing experience layer, campaign management, and performance measurement; develop a structured pipeline of opportunities ranked by impact, feasibility, and time-to-value. Quantify value rigorously. Build credible business cases that survive finance and senior business unit scrutiny — cycle time saved, decisions accelerated, revenue uplift, cost avoided, scientific productivity gained. Develop deep domain pattern recognition so you can spot AI-shaped problems in marketing enablement workflows the business itself hasn’t yet articulated. Shape the opportunity portfolio in your domain. Maintain a living view of in-flight, queued, and de-prioritized opportunities, with the rationale for each decision, and feed it into the broader Enterprise AI portfolio. Make trade‑off recommendations. When two business sponsors both want an FDE pod, defines the success metrics, run the analysis and recommend where engineers go. Protect engineering focus. Push back — with evidence — on opportunities that won’t move scalable outcomes. Be the strategic counterpart to forward deployed, full-stack, and data engineering leads in your domain. Translate ambiguous business problems into crisp problem statements, prototypes, success metrics, and decision frameworks engineers can build against. Shape engagements end-to-end. Define scope, success criteria, exit conditions, and scaling pathways before kick‑off, then stay close as engineers execute. Surface re‑use and platform leverage when a one‑off solution should become a reusable capability. Design the human–digital split. Decide which tasks the pod’s digital workers own, where engineers and business users stay in the loop, and how evaluation and oversight make that safe. Operate fluently with VP-level business and scientific leaders. Run conversations that turn fuzzy ambitions into concrete, fundable AI engagements. Build sponsor coalitions that secure data access, change‑management commitment, and air cover for your engagements. Communicate impact clearly in language that connects AI work to patients, science, and enterprise outcomes. Apply Enterprise AI’s value‑realization framework to every engagement in your domain and improve it with what you learn. Run honest post‑mortems and feed lessons back into how your domain selects opportunities. Additional information: • Reporting line: VP, Commercial AI/ML Transformation, • Position level: Director, • Team management: N/A, • Primary location: London New Oxford Street (UK), • Secondary locations: Philadelphia (PA, US), Boston (MA, US), Durham (NC, US), • Working model / presence onsite requirement: Hybrid, • Business travel: 25% travel between the UK, USA, and India, • Application end date: Sunday, November 8, 2026 EOD GMT 10+ years of progressive experience spanning some combination of pharma/life sciences, AI/ML product strategy, and senior product management or strategy roles in technology‑led organisations. Demonstrated track record of identifying, scoping, prototyping, and shepherding high‑value technology or AI initiatives from problem framing through funding into delivery. Strong working knowledge of pharma or other regulated industry marketing enablement — particularly how content supply chain, marketing automation, and the HCP‑facing experience layer operate end‑to‑end: content assembly, campaign management, channel activation, and performance measurement — and the data, decisions, and constraints inside them. Solid technical fluency in modern AI/ML — LLMs, agentic systems, and digital workers, ML lifecycle, data and evaluation patterns — sufficient to leverage evidence from rapid prototyping to challenge engineers, scope realistically, and avoid hype‑driven choices. Experience operating as a senior individual contributor — leading through influence, frameworks, and quality of thinking rather than headcount. A product management or product‑strategy heritage: discovery, opportunity sizing, roadmap shaping, prototyping, and stakeholder alignment — ideally on products whose core behaviour is AI rather than conventional software. Required Domain Experience Experience in building workflows for creative asset development and content submission workflows, including MLR/MAC readiness, to enable timely deployment across channels. Working knowledge of content lifecycle integrity and traceability — ensuring derivative content stays linked to its approved source throughout its lifecycle. Experience with omnichannel campaign execution and the performance measurement practices used to track channel and content effectiveness. You think in terms of value, not activity. You convert ambiguity into clarity engineers and digital workers can act on. You bias toward small, rapid prototyping, sharp documents and decisions over slideware and process. You hold strong views, loosely held, and welcome being proven wrong by data. You take the long view on patient impact while caring deeply about shipping things this quarter. The following skills define what strong performance looks like in this role across seven domains. Each descriptor reflects the scope, autonomy, and impact expected at this level. Opportunity Discovery: Leads opportunity discovery across a major domain (e.g. R&D, Medical, Commercial, Supply Chain, or an enterprise function). Builds and maintains a structured pipeline ranked by impact, feasibility, and time‑to‑value. Problem Framing: Frames problems at the domain level — defining the shape, scope, and strategic fit of AI opportunities before engineering investment is committed. Domain Pattern Recognition: Has developed deep domain pattern recognition in the assigned area. Spots AI‑shaped problems in scientific and operational workflows the business itself has not yet articulated. Value Sizing & Modeling: Builds value cases that survive finance and senior business unit scrutiny. Develops the team’s standard for what a credible value model looks like in each domain. Investment Prioritization: Makes trade‑off recommendations at the domain level. When two sponsors both want an FDE pod, runs the analysis and recommends where engineers go — with evidence. Opportunity Portfolio Management: Shapes the domain‑level portfolio. Maintains a living view with rationale for each decision. Feeds it into the broader Enterprise AI portfolio review. Engagement Design & Scoping: Defines scope, success criteria, exit conditions, and scaling pathways before kick‑off. Stays close through execution. Shapes at least two flagship engagements per year. Product Intuition & Roadmap Thinking: Brings a product management heritage to engagement strategy: discovery, opportunity sizing, roadmap shaping, and stakeholder alignment applied to AI deployments. Platform & Reusability Thinking: Identifies when one‑off solutions should become reusable capabilities. Works with engineering to build the case and plan the transition from point solution to platform. Bionic Pod Orchestration: Designs how engineers and digital workers divide the work within the pod — task boundaries, hand‑offs, escalation, and oversight. AI/ML Conceptual Fluency: Solid technical fluency sufficient to challenge engineers, scope realistically, and identify when a proposed approach is overcomplicated or underspecified. Data & Evaluation Judgment: Evaluates data and evaluation design as part of engagement scoping. Identifies when a proposed evaluation framework won’t hold up to scrutiny. AI Native : Codify product management and user researcher best practices skills, plugins, and markdown files. Comfortable with CLI to maximize daily automation activities. Regulated Environment AI Awareness: Navigates GxP, regulatory, and data‑governance constraints fluently. Ensures FDE engagements are designed for the real compliance environment from the start. Stakeholder Communication: Operates fluently with VP-level leaders. Runs conversations that turn fuzzy ambitions into concrete, fundable AI engagements. Builds sponsor coalitions that secure data access and change‑management commitment. Influence Without Authority: Operates as a senior individual contributor — leads through frameworks, evidence, and credibility rather than headcount. Trusted by engineering and business alike. Executive Narrative & Impact Communication: Communicates AI impact clearly in language that connects to patients, science, and enterprise outcomes. Shapes the narrative for VP-level sponsorship and funding decisions. Outcome Tracking: Applies the Enterprise AI value‑realization framework to every engagement in the domain. Improves the framework with what each engagement teaches. Post‑Mortem & Learning Culture: Runs post‑mortems at the domain level. Feeds lessons back into opportunity selection, engagement design, and value modelling standards for the domain. Analytical Rigor: Sets the analytical standard for the domain. Challenges weak assumptions — including from senior business leaders — with evidence and alternative framing. Artefact Quality & Written Clarity: Raises the team’s baseline artefact quality through example and direct feedback. Biases toward documents that accelerate decisions, not demonstrate effort. Autonomy & Ownership: Operates with significant autonomy across a defined domain. Makes domain‑level decisions with confidence and escalates selectively, with context and a recommendation in hand. Intellectual Honesty & Evidence Orientation: Models intellectual honesty at the domain level. Protects engineering focus by saying no — with evidence — to opportunities that look attractive but won’t move outcomes. In the first 12 months, the person in this role will have: Built a healthy opportunity pipeline in your domain that the FDE leads actively use to plan deployments. Helped shape at least two flagship engagements with quantified, defensible value cases. Become the trusted go‑to strategic partner for engineering and senior business leadership in your domain. Set the forward deployed strategy for at least one bionic pod, with digital workers carrying measurable production workload under clear human oversight. Improved hit‑rate — a measurable shift in how often engagements in your domain deliver on the outcomes they set out to achieve. Enterprise AI is GSK’s centre of gravity for applied artificial intelligence. We pair forward deployed, full‑stack, and data engineers — working alongside digital workers in bionic pods — with scientific, clinical, and business teams across every major group at GSK to build AI products that get used — not pilots that get archived. We work fast, ship in production, and measure ourselves on outcomes that matter to patients. GSK is a global biopharma company with a purpose to unite science, technology, and talent to get ahead of disease together. We are committed to building a diverse and inclusive team — we welcome candidates from all backgrounds and underrepresented groups in technology, science, and pharma. #LI‑GSK #AGTech Skills AI Platforms, Change Management, Data Analysis, Feature Prioritization, Machine Learning Model Management, ML Platforms, Model Evaluation, Performance Analysis, Product Delivery, Product Design, Product Lifecycle Management (PLM), Product Roadmapping, Roadmap Development, Statistical Analysis, User Needs Analysis If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $171,600 to $286,000. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. UKRecruitment.Adjustments@gsk.com where you can also request a call. #J-18808-Ljbffr

At Beam, we’re building AI that serves society. We're a global team of ambitious, hardworking problem solvers, applying fast-moving startup energy to work that makes the world a better place. If you want to apply your talent to the biggest problems society faces, Beam is the place for you. You’ll be part of a high-performance culture where you'll make a huge impact, rapidly progress your career, and truly enjoy your work. Over 100,000 frontline workers already use Beam to take notes, provide live interpretation and handle phone calls, so they can focus on the people who need them most. This is just the beginning. This isn't just another enterprise sales role. This is a rare opportunity to be the architect of our next major growth engine. We are a high-growth, mission-driven Series A tech startup that has identified a significant, untapped market: large-scale government contractors. The early signals are strong, with initial deals already hitting 6-figure ACVs and a clear path to 7-figure, landmark partnerships that will lay the foundation for our international expansion. We're looking for a French speaking Enterprise Account Executive to build this vertical from the ground up. You will not be inheriting a playbook; you will be co-authoring it. You will have the autonomy to define the go-to-market strategy, test new approaches, and shape the future of what could become our most significant business unit. If you are a builder who is hungry to create a legacy and thrives on closing complex, high-impact deals, this is your defining career move. Architect and Close Landmark Deals: You will own the full sales cycle for our most strategic accounts in this new vertical. You will command a complex, 6+ month sales process from initial outreach and strategic mapping to C-suite negotiation and signature. Build the Go-to-Market Playbook: As the pioneer in this vertical, your insights will be the foundation of our sales motion. You will systematically test, learn, and document the strategies, messaging, and processes that will enable us to scale and repeat success. Orchestrate Complex Stakeholder Networks: You will be the central point of contact, masterfully navigating and influencing a complex web of stakeholders, from C-level executives and procurement officers in the contracting organisations to policy leaders and operational heads within government agencies. Execute with Precision: Employ a rigorous, MEDDPICC-informed methodology to qualify opportunities with discipline, run deep discovery to uncover critical business pains, and build unassailable business cases that tie our solution to transformative outcomes. Co-create Visionary Solutions: Partner closely with our C-Suite, Product, and Delivery teams to design bespoke, enterprise-level solutions and pilot programs that not only win deals but also ensure our clients achieve incredible, measurable success. French fluency A Track Record of Enterprise Excellence: You have a history of exceeding quota by closing complex, multi-year SaaS deals with an ACV of £100k+. You've seen 7-figure deals and have the ambition and skill to find them. Expertise in Complex Procurement: You have direct experience selling into complex environments such as the public sector or within regulated industries (e.g., finance/health). You know how to navigate intricate procurement cycles, tenders, and framework agreements. An Entrepreneurial Builder's Mindset: You are a self-starter who excels in ambiguity. You see a blank slate not as a challenge, but as an opportunity. You have a knack for creative prospecting and pipeline generation and are driven to build something from scratch. C-Suite Credibility & Executive Presence: You communicate with gravitas and clarity. You are a natural at building rapport with senior executives, leading high-stakes meetings, and becoming a trusted advisor. Strategic Discipline (MEDDPICC or similar): You view a structured sales methodology not as a framework to follow, but as a strategic tool to gain control, mitigate risk, and forecast with accuracy in complex environments. A Deeply Held Mission-Driven Ethos: You are motivated by more than just the commission; you want your work to have a tangible, positive impact on society. Consistently exceeding your revenue targets through a portfolio of high-value, multi-year partnerships. Building a robust, predictable pipeline that establishes our success in the vertical. Successfully creating and validating the GTM playbook that the future sales team will be built upon. Becoming the go-to expert and a trusted advisor for senior leaders within our target accounts. Generous EMI-qualifying share options Access to therapy, coaching, classes & content - powered by Oliva Your own financial well-being coach, through Bippit Generous Holiday - 25 days with 3 additional days over the Christmas period + bank holidays Work remotely up to 6 weeks a year Eligible for a 6-week sabbatical after 3 years in service Nursery scheme through Gogeta Healthcare cover through Benenden Health Enhanced parental leave: Primary Caregiver leave 18 weeks and Secondary Caregiver leave 4 weeks £200 WellBeam budget for activities enhancing wellbeing and professional development Annual membership to Shoreditch Exchange gym (London office only) Pension scheme where we contribute 3% of your salary and you contribute 5%. Free subscription to the Calm meditation app Discounted bike and accessories with Cyclescheme, and tech products with Techscheme We’ve picked up an armful of awards for our work, including one from our former Queen. We've also been named by WIRED as one of London's 10 hottest startups and by LinkedIn as a Top 15 UK Startup. Meanwhile, we've been covered in the media literally thousands of times, including the likes of The FT, BBC, TechCrunch, Forbes and The Guardian. We’re also proud to be backed by some of the world's leading tech investors and entrepreneurs, including the founders of Booking.com, Calm, Shazam and Dropbox. Start your journey to a more impactful career today. We're excited to hear from you. Reasonable adjustments: Beam is committed to fostering an inclusive, diverse, and supportive work environment for all employees. This policy extends to our hiring practices. We recognise that some candidates may need additional support during their hiring process to give them the best chance of being a success. To ensure that all candidates have an equitable opportunity during their process, we are committed to providing reasonable adjustments where required. If you require a reasonable adjustment to be made during your process, please let your Talent Partner know. We encourage you to share this information, but there is no obligation to do so. Please be reassured that any reasonable adjustment requests will not be taken into account when making a decision about your candidacy. #J-18808-Ljbffr

Fifth Dimension is the most prominent AI company in real estate in the world, bringing the magic of AI automation to document-heavy industries. Our AI workspace helps leading investment managers, owners, and operators across the US, UK, and APAC automate complex workflows, extract insights from critical documents, and make faster, smarter decisions. We're looking for a Senior Product Manager, based in New York (preferred) or London, reporting to our Co-Founder & CPO, Johnny, and working alongside our other senior PM as a peer. Own and ship a product area. You own the product layer for your area end-to-end, customer insight through to pixel-level delivery, working shoulder-to-shoulder with engineering. Turn vision and feedback into product. Take product direction and live customer feedback and convert it into sharp, shipped product, cutting scope, making the call, and holding the bar. Get close to customers. Spend real time with enterprise customers, including the high-stakes conversations (renewals, a broken workflow, a promise made and kept). Bring what you learn straight back into the product. Drive adoption and revenue. Sharpen how the product demos and sells so it visibly drives adoption and revenue, not just feature count. You'll see your decisions in the numbers. Invent AI-native product. Agentic workflows, streaming outputs, document intelligence, confidence signals, human-AI collaboration. There's no playbook, you'll help write it, and use AI tools to collapse the gap between idea and shipped. Keep the signal flowing. Bring light, reliable process, the consistent weekly updates and shared context that keep founders, engineering, and customers aligned without slowing anyone down. • Shipped AI product that real customers use, with real opinions on agentic systems, evaluations, and probabilistic output. (Must-have.), • Deep personal AI craft, AI-native in your own workflow (e.g. Claude and AI-native tooling, shipping small code changes yourself), not AI as a novelty. (Must-have.), • A commercial mindset, you measure yourself on adoption and revenue, and you understand how enterprise buyers evaluate, adopt, and expand. (Must-have.), • Still a builder, shipped product personally in the last 12 months: opens Figma, writes briefs, prototypes, cuts scope, makes the call. Battle-tested in high-stakes customer conversations, renewals, a broken product, promises made and kept, and able to walk through them in detail., • Thrives in startup pace, high ownership, comfortable with ambiguity, curious, an active communicator, and brings just enough process to stay consistent., • Будет плюсом: Domain knowledge in a specialist professional field, real estate, finance, legal, insurance, healthcare, or construction., • Not required, but we expect you to do the research; Experience with complex data products, extraction, search, intelligence, analytics, not pure SaaS CRUD; Platform instinct, thinks in systems, APIs, skills, and compounding, not just features; Can touch code, enough to prototype or unblock yourself. We're hybrid three days a week in our New York (preferred) or London office. £100,000–£150,000 base, plus meaningful equity. Flexible based on experience and seniority. • Meaningful equity on a standard vesting schedule, • 401(k) plan (US) or enhanced pension contributions (UK), • Generous paid time off, • Health, dental, and life insurance (US) or private healthcare via BUPA (UK), • Enhanced parental leave: 14 weeks for the primary caregiver, 6 weeks for the secondary caregiver, • Tailored support for exceptional challenges, different for everyone, • 2-week all-company December shutdown #J-18808-Ljbffr

At Beam, you get to do work that matters for the world. We’re solving the world's toughest social problems with an incredible team, tech and AI. And we’re growing fast 🚀 It’s not easy. Nothing worth doing ever is. Join a company at the forefront of social impact, driving first-of-its-kind positive change. You’ll be part of a high-performance culture where you'll make a huge impact, rapidly progress your career, and truly enjoy your work. From top-tier coaching and personal development budgets to competitive salaries, we take care of everyone who works at Beam. We’ve already seen incredible growth from our Magic Notes product, helping case workers save over 8 hours of admin per week. From social workers and NHS clinicians to mental health practitioners and safeguarding specialists, over 50,000 frontline workers across the UK are now using Magic Notes regularly to deliver faster, more human-centred support. We’re also launching globally, helping practitioners across the USA, EU, and Australia make a difference. The opportunity at Beam We’re looking for Senior (and above) software engineers with a product-mindset to join our product teams to help build the future of Beam with the right technologies. It’s a passionate and growing team (doubled in size in 2024) and values autonomy, empowerment and bias-to-action. We want engineers who want to take responsibility for the product they are building and take part in every part of the product creation. We’re solving some hard problems that aren’t just technical, and value people who want to solve them with us. What you’ll be doing Help build our technology for the future - be it infrastructure or front-end. We value generalists Work with product, design, commercial and analytics to figure out what new features to build within our product Building internal tools - for our team to help as many people as efficiently as possible Using the latest generative AI tooling to empower our caseworkers to focus on what matters, helping those in need Get deep into the power of the LLMs that exist and figure out ideal optimisations across our systems with them Why is this exciting? Our MagicNotes product is already used by thousands of case workers per day - you will have an opportunity to figure out the future of it or you’ll be designing and defining the future of our BeamForce product You will have a high degree of autonomy working with other exceptional and like minded engineers and product people You will see your features used by people who really need them - and see the amazing 5-star feedback we get in return for building these critical features Who we’re looking for Breadth of experience across infrastructure, backend and frontend technology stacks: We use the latest Ruby on Rails, Turbo, Phlex, AlpineJS, TailwindCSS, AWS, PostgresSQL to name a few technologies OpenAI & Claude for LLM interfacing We are not wedded to them and will rapidly evolve over the next 3-6 months with the right technologies Has worked in complex software systems - both front-end and back-end and understands the importance of good data structures, a scalable architecture and constantly evolving tech stack You care about the “right tool for the right job” and pick the pragmatic options when building software Enjoys working in cross functional teams - PMs, UX, Designers and Data You have a product mindset: you care about customer outcomes and you want to make data-informed decisions You have an entrepreneurial, get-things-done attitude You'll contribute to fostering a culture of psychological safety, inclusivity, collaboration and continuous improvement within the team through participation in retrospectives and feedback You're passionate about social mobility We have a strong preference for London-based engineers who can regularly meet the team to problem solve in person. We're committed to advancing equity, diversity, and inclusion through our work as an organisation, and that starts with the team we build. 53% of the people we support are from ethnic minority backgrounds and 17% have disabilities. We believe we serve these people best when we’re a diverse and inclusive team. To that end, we particularly welcome applications from ethnic minority candidates and/or those who’ve experienced social disadvantage. Application process We take hiring seriously. We have a 4-stage and an optional 5th interview process, giving you plenty of time to learn about Beam while we get to know you. 30 mins with our Talent team 45 minute Interview with Ben, our VP Engineering 1 hour technical test with two of our Senior Engineers 1 hour systems design interview with two of our Senior Engineers 30 minute product and cultural interview with one of our founders Our team of 200+ embraces a hybrid working approach, enjoying 2-3 days of vibrant collaboration in our beautiful Shoreditch co-working space, fully equipped with rooftop views, an onsite barista and kitted out gym. We’ve picked up an armful of awards for our work, including one from our former Queen. We've also been named by WIRED as one of London's 10 hottest startups and by LinkedIn as a Top 15 UK Startup. Meanwhile, we've been covered in the media literally thousands of times, including the likes of The FT, BBC, TechCrunch, Forbes and The Guardian. We’re also proud to be backed by some of the world's leading tech investors and entrepreneurs, including the founders of Booking.com, Calm, Shazam and Dropbox. Generous EMI-qualifying share options Access to therapy, coaching, classes & content - powered by Oliva Your own financial well-being coach, through Bippit Generous Holiday - 25 days with 3 additional days over the Christmas period + bank holidays Work remotely up to 6 weeks a year Eligible for a 6-week sabbatical after 3 years in service Nursery scheme through Gogeta Healthcare cover through Benenden Health Enhanced parental leave: Primary Caregiver leave 18 weeks and Secondary Caregiver leave 4 weeks £200 WellBeam budget for activities enhancing wellbeing and professional development Annual membership to Shoreditch Exchange gym (London office only) Pension scheme where we contribute 3% of your salary and you contribute 5%. Free subscription to the Calm meditation app Discounted bike and accessories with Cyclescheme, and tech products with Techscheme Start your journey to a more impactful career today. We're excited to hear from you. Reasonable adjustments: Beam is committed to fostering an inclusive, diverse, and supportive work environment for all employees. This policy extends to our hiring practices. We recognise that some candidates may need additional support during their hiring process to give them the best chance of being a success. To ensure that all candidates have an equitable opportunity during their process, we are committed to providing reasonable adjustments where required. If you require a reasonable adjustment to be made during your process, please let your Talent Partner know. We encourage you to share this information, but there is no obligation to do so. Please be reassured that any reasonable adjustment requests will not be taken into account when making a decision about your candidacy. #J-18808-Ljbffr

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We sort no experience part time caregiver jobs with better pay, shorter commutes and sooner starts in mind.

We sort caregiver no experience jobs with better pay, shorter commutes and sooner starts in mind.

We sort no experience caregiver jobs with better pay, shorter commutes and sooner starts in mind.

We sort caregiver no experience jobs with better pay, shorter commutes and sooner starts in mind.

We sort caregiver no experience positions jobs with better pay, shorter commutes and sooner starts in mind.

We sort no experience caregiver jobs with better pay, shorter commutes and sooner starts in mind.

We sort no experience part time caregiver jobs with better pay, shorter commutes and sooner starts in mind.

We sort no experience caregiver jobs with better pay, shorter commutes and sooner starts in mind.

We sort caregiver no experience positions jobs with better pay, shorter commutes and sooner starts in mind.

We sort caregiver no experience positions jobs with better pay, shorter commutes and sooner starts in mind.

We sort caregiver no experience positions jobs with better pay, shorter commutes and sooner starts in mind.

We sort no experience caregiver jobs with better pay, shorter commutes and sooner starts in mind.

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We sort caregiver no experience jobs with better pay, shorter commutes and sooner starts in mind.

We sort caregiver no experience jobs with better pay, shorter commutes and sooner starts in mind.

At Beam, we’re building AI that serves society. We're a global team of ambitious, hardworking problem solvers, applying fast-moving startup energy to work that makes the world a better place. If you want to apply your talent to the biggest problems society faces, Beam is the place for you. You’ll be part of a high-performance culture where you'll make a huge impact, rapidly progress your career, and truly enjoy your work. Over 100,000 frontline workers already use Beam to take notes, provide live interpretation and handle phone calls, so they can focus on the people who need them most. This is just the beginning. As Customer Success Manager, you’ll ensure our pilots deliver meaningful impact for customers, before leading the transition into long-term partnerships and expanded contracts. You’ll then manage and grow a portfolio of accounts, helping frontline teams get increasing value from Beam’s products as we scale. This is a broad, hands-on role. You’ll spend significant time with users - particularly social workers - driving adoption, building champions and understanding how Beam can best support their work. You’ll combine this with data and customer feedback to solve problems, demonstrate impact and shape our product roadmap. You’ll also play a key role in evaluating pilots, proactively identifying opportunities for expansion and leading contract negotiations. As one of the first members of a new customer success function, you’ll have real ownership in shaping what great customer success looks like at Beam. Building strong relationships - from front-line teams to senior leadership across Local Councils, Central Government departments, charities and private sector social care providers Driving adoption - through both organised training and proactive engagement with front-line teams and managers Demonstrating the impact of our work - through clear, concise updates and reports, you’ll be showcasing how impactful our partnerships can be Identifying and securing expansions - proactively identifying opportunities, developing proposals and leading contract negotiation Acting as the voice of the customer - sharing feedback which drives our product roadmap Helping build the customer success team - we’re a new team, and you’ll be at the forefront of designing how customer success at Beam works A natural relationship builder - quickly building rapport and establishing trust to develop meaningful relationships with both senior stakeholders and front line teams A strong multi tasker - you’re incredibly organised, comfortable with multi tasking and can switch between different activities with ease Results-driven - you thrive working towards ambitious individual KPIs A confident negotiator - you have a strong track record managing upsells, with the skills to efficiently and effectively close expansion deals for a new product Adaptive and resilient - you thrive in a dynamic environment and are optimistic about overcoming obstacles while maintaining motivation Fluency in both English and Spanish – you have expert-level spoken and written proficiency in both languages and are confident communicating, presenting and negotiating with stakeholders in either language. Willingness and availability to travel regularly across the EU – you’re comfortable with regular international travel as required by the role. Demonstrable experience of driving growth through excellent partner or account management in a startup, leading corporate or in the public sector. Ideally, you’ll have experience in customer success for a software product A strong sense of diplomacy - you know how to appropriately build relationships with stakeholders across Government and social care organisations A creative, growth mindset - when there’s a bottleneck, you bring solutions and novel ideas for experimentation that deliver value for customers Incredible discovery techniques - strong listening and questioning skills to uncover critical information, identify decision makers, and understand client problems where Beam can help Generous EMI-qualifying share options Access to therapy, coaching, classes & content - powered by Oliva Your own financial well-being coach, through Bippit Generous Holiday - 25 days with 3 additional days over the Christmas period + bank holidays Work remotely up to 6 weeks a year Eligible for a 6-week sabbatical after 3 years in service Nursery scheme through Gogeta Healthcare cover through Benenden Health Enhanced parental leave: Primary Caregiver leave 18 weeks and Secondary Caregiver leave 4 weeks £200 WellBeam budget for activities enhancing wellbeing and professional development Annual membership to Shoreditch Exchange gym (London office only) Pension scheme where we contribute 3% of your salary and you contribute 5%. Free subscription to the Calm meditation app Discounted bike and accessories with Cycle scheme, and tech products with Tech scheme Our team of 200+ embraces a hybrid working approach, enjoying 2-3 days of vibrant collaboration in our beautiful Shoreditch co-working space, fully equipped with rooftop views, an onsite barista and kitted out gym. We’ve picked up an armful of awards for our work, including one from our former Queen. We've also been named by WIRED as one of London's 10 hottest startups and by LinkedIn as a Top 15 UK Startup. Meanwhile, we've been covered in the media literally thousands of times, including the likes of The FT, BBC, TechCrunch, Forbes and The Guardian. We’re also proud to be backed by some of the world's leading tech investors and entrepreneurs, including the founders of Booking.com, Calm, Shazam and Dropbox. Start your journey to a more impactful career today. We're excited to hear from you. Reasonable adjustments: Beam is committed to fostering an inclusive, diverse, and supportive work environment for all employees. This policy extends to our hiring practices. We recognise that some candidates may need additional support during their hiring process to give them the best chance of being a success. To ensure that all candidates have an equitable opportunity during their process, we are committed to providing reasonable adjustments where required. If you require a reasonable adjustment to be made during your process, please let your Talent Partner know. We encourage you to share this information, but there is no obligation to do so. Please be reassured that any reasonable adjustment requests will not be taken into account when making a decision about your candidacy. #J-18808-Ljbffr

NALA is building Payments for the Next Billion. Faster, smarter, and fairer transfers for everyone. Since 2022, we've grown our business 120x, grown the team from 9 to 150+, raised $50M+ from top-tier investors, and were named to the Forbes Fintech 50 in 2025 and 2026. • NALA, our consumer app making cross-border payments cheaper, faster and more reliable for the global diaspora. Allowing users to send money from the UK, US and EU to Africa and Asia., • Rafiki, our B2B payments infrastructure, is powering global payments for global giants like MoneyGram & Western Union. Our team includes alumni from Wise, Stripe, Monzo, Revolut, and CashApp — operators who’ve scaled world‑class products. We act with urgency, think deeply, and put our customers first always. At NALA, this isn’t just a job. It’s ownership, impact, and the chance to change global payments forever. Join us in building Payments for the Next Billion! Collections & Treasury is the squad building a new collections product and the financial backbone other parts of the business will stand on. This includes things like: • Building the infrastructure to spin up vIBANs on demand, • Designing customer-facing APIs to collect money through different payment strategies, • Handling the real-world challenge of collections across the African continent (this is not simply credit cards, for example STK) This is not just another product squad. We are building the financial backbone that other things will stand on. We need a strong Senior / Lead Engineer (ideally with financial systems experience) who can take ownership of figuring out the right ways to build a robust Collections & Treasury foundation that can scale with us. Own key architecture and implementation decisions for the collections & treasury foundation • Lead design work (RFCs, diagrams, API and system specs) to align on solutions before building, • Partner with PMs and stakeholders to translate business intent into technically sound requirements, • Design and build customer-facing and internal APIs to support collections and payment strategies, • Build reliable infrastructure for vIBAN provisioning and collections orchestration, • Drive engineering quality across API standards, testing strategy, code review bar, and maintainability, • Manage delivery by breaking down complex work, sequencing milestones, and keeping projects moving end to end, • Make pragmatic trade-offs: move fast where we can, protect correctness where we must (especially in financial systems), • Join our on-call rota once a month for 1 week (This will be fully compensated + post-onboarding) To set you up for success, we want to be explicit about how engineering works here: • We build depth before breadth., • Engineers typically start by embedding deeply in a product squad, learning the domain, how we operate as a business, and earning trust through delivery. Broader, cross‑cutting impact follows from that foundation., • This is a high‑pace, VC‑backed environment., • Priorities can shift quickly and ambiguity is normal. We are looking for people who stay calm, make good calls with imperfect information, and keep momentum., • Ownership includes alignment., • We expect engineers to drive work end to end and collaborate with other engineers, follow chapter standards, and bring others along, so solutions scale beyond one person., • Collaboration is part of the craft.., • We value consultation, design reviews, and feedback loops because they help us build better systems and avoid rework. We value autonomy, but not lone‑wolf engineering., • Have worked with Go in a production environmentHow to translate business intent into technical requirements and clean system boundaries, • What “good” looks like in financial-grade systems, including correctness, reliability, auditability, and operational readiness, • Design principles that drive maintainability (single responsibility, separation of concerns, etc.), • API fundamentals, including consistency, versioning, backward compatibility, and developer experience, • Skills, • You do not just take tickets and build, • You quiz PMs, challenge stakeholders, and push on solutions that do not make sense, • You do not accept proposals from non-technical people at face value, you turn business intent into something technically sound, • You are not someone who “thinks by coding”, • You draw diagrams, write RFCs, explore hypotheses, and visualise systems at a high level, • Freestyling into implementation without alignment is not your style, • You care about good API design and reusability, • You write unit-testable code and advocate for quality during code reviews, • Especially in financial systems, “it works” is not the bar, • You can own complex projects end to end, • Avoid excessive context switching and push back when too many parallel things risk delaying delivery, • You care about finishing work properly, not just “mostly done”, • Proven delivery of complex backend or distributed systems in a production environment, • Experience owning systems end to end, from design to build to ship to operate to iterate, • Experience working closely with PMs and stakeholders to shape solutions, not just implement them, • Experience making pragmatic trade-offs in startup environments, balancing speed, correctness, and scope, • Calm, decisive, and effective in ambiguous environments, • Collaborative by default, aligns early, communicates clearly, and brings others along, • High ownership with high standards, accountable for outcomes, not just output, • Pragmatic, not dogmatic, knows where we can compromise to move fast and where we absolutely should not, • Experience building financial systems (payments, collections, treasury, ledgers, reconciliation, • Experience designing public APIs used by external customers and partners, • Comfort with operationally-heavy systems, including observability, incident response, failure modes, and resilience patterns, • Embedded in the squad with strong domain understanding and trusted relationships across PM and Engineering, • Be fully onboarded and acquainted with our ceremonies and engineering processes / SDLC., • Requirements process running well, stakeholders aligned, assumptions surfaced early, fewer surprises mid-build, • One or more high-leverage components delivered end to end with the quality bar met (tests, reviews, observability hooks and fully inline with our DoD), • Core collections & treasury foundation is production-grade and scaling (reliable, observable, maintainable), • Customer-facing APIs and orchestration paths are stable with clear standards and strong developer experience, • Delivery cadence is predictable, complex work shipped in milestones without constant churn or rework, • Engineering quality bar is visibly raised (API consistency, testability, review rigour, and operational readiness) Before you apply, take a look at our Extra Preparation guide, covering our engineering philosophy, tech stack, and what to expect at each interview stage. You will need to first submit your application through our ATS Workable. There is no need to submit a Cover Letter. If successful, you will be selected for our interview process, which has 4 interviewing stages: • 45 mins Interview with the Talent Team, • This is our initial touchpoint. We're keen to understand your motivations and experiences better. As a tip, reflecting on why you applied for this role and being familiar with your application responses will be beneficial., • We usually split this call into a 30-minute intro, and if time permits, we invite an Engineering Manager to join for 15 minutes, where you'd be asked to read through some code with them, • 1 hour - Coding Challenge, • You’ll complete a pair programming exercise live, with two of our engineers, • 1 hour - Architecture Interview, • You’ll solve an architecture challenge with two of our Engineering Managers, • 45 mins - Bar raiser interview with Markus, Head of Engineering, • The final interview will involve speaking with Markus about your motivation for the role and will be a great opportunity to ask any questions you have about the business., • References, • We conduct reference checks as standard for all of our hires at NALA, • Decision, • We’ll aim to come back to you with a timely decision and feedback on your overall interview process. We’ll aim to come back to you with a timely decision and feedback on your overall interview process. UK / EU / Remote, we have the following benefits: • 35 Days Off: Enjoy an amazing 35 days of holidays to unwind and explore (This will be 27 days + 8 Bank Holidays if UK-based), • Birthday Leave:Celebrate your special day with a bonus day off to take off in that month., • Enhanced Parental Leave: We offer 16 weeks of full pay for the primary caregiver and 4 weeks of full pay for the secondary caregiver (After your probationary period), • Global Workspace: Get access to WeWork locations worldwide., • Learning Budget: Fuel your growth with $1000 annually for learning and development. For those specifically UK-based, we also have; • Private Medical Insurance: Full medical cover through a leading UK provider, because your health comes first., • Life Insurance: 3x salary cover, giving you and your family peace of mind., • Enhanced Pension: Salary sacrifice pension scheme via Penfold giving you flexibility and control on how you save for your future! (Applies to UK) For people who come to our London office we also have the following; • Hybrid Working: We work in our Canary Wharf Office four days a week (Monday, Wednesday, Thursday and Friday)., • Sarabi: Themed snacks and Friday lunch focused on building great working relationships with the team., • Monthly Socials: Join fun social events every month for great times., • Free Coffee: Enjoy barista-style coffee at your fingertips. #J-18808-Ljbffr

You will have previous experience in a residential care setting along with proven team leadership skills and the ability to make appropriate decisions to support the needs and wellbeing of our Residents. You'll have the opportunity to develop your career through ongoing training opportunities, so th

We'll also need to see that you have specific knowledge of clinical care for the elderly. You'll have the opportunity to develop your career through ongoing training opportunities, so there's no limit to how far you can go with us.

Previous experience in cleaning experience in a restaurant or food service environment preferred but not essential. Previous experience desirable but not essential. Knowledge of sanitation and hygiene practices, including the safe use of cleaning chemicals and equipment.

From inspired development to curated hospitality, from brand innovation to premium for all, OVG is setting new standards and redefining expectations for everyone. We are looking for an enthusiastic and experienced Cleaner to join our team at The Brewery on Chiswell Street on a zero-hour casual basis

Club operations, the first point of contact for members and guests, setting the tone for an exceptional and welcoming experience from the moment they arrive. Maintain updated knowledge of all facilities, offerings, events, and policies to inform guests confidently. Experience in luxury hospitality o

Have had cleaning experience in a similar role, although this is not essential. Please note: This role is contracted to 45 weeks per year. As one of our dedicated Cleaners, you will help to deliver on our promise to always create the best and brightest experiences for our clients and customers.

We know that your unique talents and ambitions not only have the ability to exceed our guests' exacting standards, but also propel your own career potential in a company that recognises and rewards. Previous hotel reception experience is required ideally within a 4- or 5-star hotel operation. Previo

To respond to e-mails as soon as possible no later than 12 hours after receiving it. Liaising with the engineering and IT teams to log, follow up and resolve any issues noted or reported by guests or colleagues in the bedrooms or at the desk. Maintaining a good knowledge of all products and services

Club operations, the first point of contact for members and guests, setting the tone for an exceptional and welcoming experience from the moment they arrive. Maintain updated knowledge of all facilities, offerings, events, and policies to inform guests confidently. Experience in luxury hospitality o

We know that your unique talents and ambitions not only have the ability to exceed our guests' exacting standards, but also propel your own career potential in a company that recognises and rewards. Previous experience of IT applications including Opera, Office 365, Guest Plus. We are always looking

Deep clean areas not possible during daytime service hours (e. A successful Night Cleaner for Soho House will ideally have up to 2 years' experience in a busy high-profile venue and a natural flair for first class service. Previous cleaning, housekeeping, or janitorial experience preferred.