Вакансии

Задачи: — Продвигать и оценивать методы 3D реконструкции и синтеза новых видов. Требования: — Опыт и знания в области novel view synthesis, optimization, radiance field, 3D reconstruction, multi-view geometry, neural rendering, Deep learning, rendering, camera model, Gaussian splat. Условия: — Работа в офисе в Лондоне.

Требования: — Опыт работы 0–2 года — Образование: BE/BTech/ME/MS/MTech в области электротехники, электроники или эквивалентное Локация: — Bangalore / Pune

Требования: — Степень бакалавра в области компьютерных наук, электротехники/электроники, инженерии или смежной области. — Опыт работы 1+ или 2+ года с уровнем BTech/MTech.

Location: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As GTM Narrative Lead at Anthropic, you will be the keeper of Anthropic's company story for customers. You will own the company narrative presentation end to end and keep it current as models and products ship, shaping how customers first hear who Anthropic is, what Claude changes for them, and why we are the right partner. This is a hands-on individual contributor role in Solutions & Segment Marketing, within Enterprise Marketing. You will shape the storyline with senior leaders and write the words, the script, and the deck yourself. You will work closely with Product Marketing, Product, Research, Sales, Enablement, Brand, Design, and Communications to translate complex AI capabilities into compelling stories that resonate with enterprise buyers and reflect Anthropic's commitment to developing AI systems that are safe, steerable, and beneficial. What you'll be shaping Your narrative will be the starting point for customer conversations across executives, sellers, partners, and events. Each model and product launch changes what customers can do, and you will work directly with the people building it to turn it into a story a CEO can act on. You will also set up how the work gets done: the customer-insight loop, the measures, and the Claude workflows that keep a story current at this pace. This role offers the opportunity to shape how one of the world's leading AI companies tells its story at a pivotal moment in the industry's development, while ensuring our narrative reflects our commitment to responsible AI deployment and societal benefit. Key responsibilities Own the company narrative: Own Anthropic's company narrative presentation from start to finish, including the storyline, the master deck, speaker notes, and the versions used by executives, sales, partners, and events Translate capabilities into customer outcomes: Turn complex research and product capabilities into a clear story about what changes for customers, what it's worth, and why Anthropic is the right partner Keep the story current through every launch: Lead the narrative update for every major launch, so the story is refreshed, approved, and in the hands of the field on launch day Build and run a customer-insight loop: Use win/loss reviews, call recordings, executive briefings, customer advisory input, and usage data to keep testing and adjusting the storyline Drive cross-functional alignment: Partner with Product Marketing, Brand, Design, and Communications to keep the company narrative aligned with positioning, messaging, and external voice Measure whether the narrative works: Define and report on how widely the deck is used, how often key messages show up in deals, and feedback from customers and executives Build workflows with Claude: Speed up research, customer feedback summaries, drafting, and versioning Minimum qualifications Product marketing, corporate marketing, or portfolio marketing background, with a track record of personally writing a company or portfolio-level narrative for B2B software products Recent, hands-on writing of the master deck for executives and sellers, including speaker notes and audience versions Proven ability to turn technical capabilities into customer outcomes for C-level and business buyers Experience leading narrative updates for major launches on short timelines, through review and into the field Experience building a customer-insight loop (win/loss, call recordings, briefings, usage data) and changing the story because of it Experience measuring narrative use and impact, and reporting it to leadership Experience aligning Product Marketing, Brand, Design, and Communications around one story without formal authority Regular use of AI tools for research, synthesis, drafting, or versioning Preferred qualifications 15+ years of experience in product marketing, portfolio marketing, or corporate messaging at B2B technology companies - a blend of experience at technology startups and scaled technology companies is strongly preferred Experience marketing AI, cloud, data, or developer platforms to enterprise buyers Experience at a company where the product changed constantly and content had a short shelf life Keynote or executive briefing writing experience Time spent in or close to sales, field marketing, or enablement Experience in a regulated or high-trust category where safety and security are part of the story Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $400,000 — $570,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY or Remote About Us: EvolutionIQ, a part of CCC Intelligent Solutions, is mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! About You: An ambitious Software Engineer who will be in the driver’s seat as we design and deliver the entire customer-facing application layer for our growing line of AI solutions. You thrive on fast, secure, consistent deployments and want to be in the lead thanks to your high degree of ownership and control. Scalability and reliability are hardwired into your DNA. You love defining the standards for a consistent development life cycle. You have used modern AI / agentic tools (Claude, Codex, Cursor, etc) to streamline development efforts. You’re an AI native, and are supercharged by leveraging LLMs and agents to reduce friction in the SDLC, making fast and informed decisions, and solving interesting and complex problems for clients. The Role: As a Senior Software Engineer on Medhub, you will be building a cutting edge claim synthesis tool used by claims professionals to optimize their research, workflows, and surface relevant insights and facts. Our team for this product spans several lines of business, and includes regular cross-functional collaboration with product management, design, data science, and client services. On the Medhub team, you will not only write code, but you will also become a product expert in relevant insurance areas, you will evaluate quality of outputs, and you will have high autonomy to shape the future of the team’s technical system architecture, code quality, security, and more in the effort to build solutions towards our clients’ diverse needs. In this Role You Will: Build a complex multi-tenant enterprise SaaS application to revolutionize application workflows Build and maintain the backend REST server that feeds machine learning data and BI (Business Intelligence) Own the entire lifecycle of designing, building and launching enterprise applications Work in greenfield projects where you have high levels of ownership Work directly with the head of product, the data science team, UX designers, and end users Have a key role and ownership in shaping the future of EvolutionIQ’s products, from technology choices to building the roadmap Provide crucial technical expertise, introduce new best practices to the team, drive consistency across all teams, and help prioritize features to increase our client impact Continue to grow and learn in the engineering space with a focus on business problems that use large-scale structured and unstructured datasets Requirements: Extensive experience going through the full feature development life cycle: Working with product managers, deciding scope, designing a database schema for representing the data 5+ years of engineering experience, an expert in Python Development Strong Systems Design, and Relational Database experience Proven experience using AI / agentic tools to streamline development efforts Minimum 1 year of experience building and deploying products powered by large language models (LLMs) in fast-paced, professional environments Strong skills in evaluating and interpreting LLM outputs and AI model predictions, with a focus on aligning model behavior with real-world business and user outcomes Experience designing, building and launching backend architectures that support multi-tenant, multi-user scenarios Ability to remain agile and move between rapid prototyping and stable production development Ability to write technical design documents, perform code reviews, and maintain state of the art engineering practices You know the critical questions to ask in order to understand a client’s business problem and can show the business impact of your technical solutions Team player who is solutions-oriented and exudes our ambitious, collaborative, and empathetic values You have crisp written and verbal communication skills and the ability to effectively correspond between technical and non-technical audiences A self-starter mindset with an eagerness to solve previously unsolved problems Excellent collaboration skills and are open to giving and receiving critical feedback across teams Work-life, Culture & Perks: Compensation: The base salary range is $190-225K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: Remote - Canada, Remote Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We're seeking a Senior Business Architect (Canada) for ACCC: someone who can go deep on brokerage operations across accounts, trading, clearing, settlement, custody, and asset servicing, and can turn that operating knowledge into clear requirements and turn that into clear requirements Product and Engineering can build. You are the bridge between how the Canadian brokerage actually works and the product roadmap. You lead structured discovery with counterparts and work out how partner firms, account opening, clearing, custody, and day-to-day operations fit together, then write that down as epics, user stories, acceptance criteria, edge cases, and open decisions. Success is measured by: requirements and designs teams can build without guessing; a clear split between what the system does and what people still do at launch; solution options that Product and Engineering can sequence; and a backlog tied to ACCC milestones and capabilities. What You'll Walk Into You won't be starting from zero. You'll be owning live problems: Operations scope: defining what ACCC must support across accounts, trading, clearing, settlement, custody, books and records, and asset servicing. Partner firm handoffs: what partners send us, what we send back, and who does what across accounts, trades, cash, and securities. Account and trade lifecycle: account opening, settlement in Canada through CDS, failed trades, transfers, and corporate actions such as dividends and splits. Platform gap analysis: comparing today's Alpaca platform with Canadian brokerage operations requirements to decide what we reuse, change, or build. Launch scope: separating what must work on day one from what follows, including registered accounts (TFSA, RRSP, RESP), more products, and more partner services. Open decisions: logging each one with an owner so it gets closed or consciously deferred. What you’ll own Requirements across ACCC’s brokerage operations, and what comes next: Map brokerage operations end to end across these areas: broker onboarding, account carrying, trade clearing/settlement, custody of cash/securities, books & records, financing (if in scope), corporate actions, transfers, exceptions, and reporting Help define target operating models and capability designs: what the platform must do, what stays manual (for now), what is control vs. feature, what is Canada-specific vs. reusable globally Turn regulatory and operational obligations into product requirements: what the platform must do, what stays manual (for now), what is control vs. feature, what is Canada-specific vs. reusable globally Write epics, user stories, acceptance criteria, and edge cases that Product and Engineering can build against. Produce the artifacts teams actually use: process maps, capability matrices, requirement specs, data/field definitions, state machines, exception catalogs, RACI for build vs. run, and decision logs Work with Product Managers and Engineering to sequence MVP → launch → scale: must-haves for go-live vs. post-launch backlog across these operating areas (e.g. additional account types, asset classes, IB services, automation) Interface across Product, Engineering, Ops, and Compliance: translate business need into buildable scope; escalate open decisions with clear owners and options Run structured discovery: workshops, SME interviews, gap analysis vs. current Alpaca platform, peer operating models where useful Keep requirements automation- and AI-aware : flag where STP, rules, and AI-assisted exception handling should be designed in—not bolted on later Flag where straight-through processing, rules, and AI-assisted exception handling should be designed from the start. Maintain a living requirements backlog tied to ACCC milestones, risks, and open decisions Who you are (Must-Haves) Excited about what Alpaca is building and about standing up Canadian brokerage operations. Comfortable operating as a senior IC reporting to the President — driving clarity across Product, Engineering, Ops, and Compliance without needing a formal team. Bachelor's degree in computer science, engineering, finance, or equivalent. 8+ years as a business architect, business analyst, consultant or in product operations within brokerage, clearing, custody, or capital markets. Comfortable translating brokerage operating processes and regulatory requirements into product language (you don’t need to be a lawyer or CCO) Strong structured analysis: flows, entities, states, exceptions, controls, and what breaks if a step is missing. Clear writing: specs, diagrams, and decisions others can execute against. Collaborative with Ops SMEs, PMs, Engineering, and Compliance; curious enough to dig; disciplined enough to close loops Bias to precision over vague “requirements fluff”; you know when something is a product change vs. an ops procedure vs. a policy decision Judgment to tell a product change from an operating procedure or a policy decision. Strong communication and collaboration skills across operations, product, engineering, and compliance. Who you might be (Nice-to-Haves) Experience on a carrying, self-clearing, or custody build. Canadian dealer, carrying broker, or introducing broker experience. Prior business architecture or enterprise/solution architecture exposure in capital markets Familiarity with CDS or Canadian settlement workflows. Experience with registered accounts or Canadian tax requirements (TFSA, RRSP, RESP). Background with API or platform brokerage products. Experience working at a fintech, startup, or greenfield launch. AI-native workflow: recurring use of tools like Cursor, Claude, or ChatGPT in spec drafting, discovery synthesis, and gap analysis. Experience shaping greenfield capability roadmaps with executive sponsors How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Design and develop digital circuits and RTL modules for ASIC and SoC platforms. Write, review, and optimize RTL code using Verilog and SystemVerilog.

Location: Berlin Workplace: Hybrid At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe’s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. We are scaling fast and investing heavily in our product, our clients and our international footprint. We are looking for a Strategy Intern to join our Strategy team and help us shape what comes next. ABOUT THE ROLE: As Strategy Intern, you will join our Strategy team, working directly with our Head of Strategy, Tine von Villiez https://www.linkedin.com/in/von-villiez/, and our wider leadership team, including our CEO and Founder, Martin Kassing. You will support Upvest's most important strategic work, from high-stakes leadership and board meetings to initiatives such as market expansion and new products. You will own your own work packages, working independently and cross-functionally, with direct exposure to senior leadership. This is a high-impact, highly visible role and a great way to learn how a fast-growing fintech is run, with a deep look into our product, clients, operations and the banking ecosystem. WHAT YOU’LL DO: - Support high-stakes internal projects: Help the team prepare and run all-hands, leadership offsites and presentations, and board meetings - Support strategic initiatives: Contribute to high-impact strategic initiatives, such as market expansion or new products, from research and analysis to preparing recommendations and materials to the actual execution and project management - Support the OKR process: Help run the company OKRs, link them to core business KPIs and support cross-team prioritisation - Own your work packages: Take ownership of your own work packages, working independently and cross-functionally to deliver them - Become an AI champion: Learn and adapt to new AI tools, and help upskill the organisation by sharing what works WHAT YOU BRING: - Experience: You have already completed 1-2 internships in highly dynamic environments, ideally in consulting or at other fintechs or high-growth scale-ups - Business acumen: You have high business acumen and quickly understand how a business works and what drives it. You break down complex problems into actionable insights and measurable outcomes, and care about the details to ensure flawless execution - Curiosity and drive: You are curious, highly motivated and eager to learn across the board. You are proactive and happy to support on different projects. You are passionate about fintech and the mission of empowering more people to invest - AI-native: You use AI tools proactively in your day-to-day work (synthesis, research, reporting) and are always looking for smarter, faster ways of working - Communication and stakeholder management: You communicate clearly and confidently and enjoy working with colleagues at all levels, including senior leadership - Team player: You are open, collaborative and a cultural ambassador who lives our values - Location and availability: You are based in Berlin and available for a minimum of 4 months HOW WE UPVEST IN YOU: - Impact-driven work: We're working on solving a hard problem: fixing the European investment infrastructure so that more people are able to invest. You have the opportunity to contribute to this change. - Learning and development: We invest in your growth, offering access to personal coaching and mental health support through our Nilo platform, alongside plenty of opportunities to develop in your role. Working in the complex yet fascinating world of investments, with an API product built on a state-of-the-art tech stack and alongside leading fintechs and financial institutions, offers an incredibly rewarding learning experience. - An exceptional team: Upvengers are one of a kind when it comes to combining impactful work with a relaxed and fun atmosphere. We have strong practices around feedback, team health and social events, resulting in a constantly high eNPS. - Culture: We live a culture of empowerment, trust (that we hire the best people and get out of their way) and openness (there's a greater advantage in sharing information than keeping it to ourselves). - Flexibility: While we're not quite fully remote, we are committed to being a flexible employer, as we understand you don't have to be in the office to do your best work. This role is based in Berlin. OUR VALUES: - Make it easy for others. We simplify the complex and act with the best intentions. - Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection. - Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together. - Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others. Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Responsibilities: — Architect, launch, and optimize high-converting Meta Ads and Google Search campaigns. — Manage budget pacing, audience segmentation, bid strategies, search queries, and negative keyword lists. — Maintain meticulous account hygiene, access controls, billing protocols, naming conventions, and policy compliance. — Translate high-level project personas, narrative angles, and visual hooks into rigorous creative testing frameworks. — Set minimum spend thresholds, monitor fatigue indicators, and deliver structured briefs to internal design and video teams for iterations and new creative concepts. — Set up, audit, and troubleshoot tracking architecture via GA4, Google Tag Manager, Meta Pixel, and Conversions API. — Integrate CRM data pipelines to enable closed-loop offline conversion tracking. — Build and manage Looker Studio dashboards demonstrating true acquisition ROI, appointment volume, and sales conversion rates. — Deliver structured weekly written updates detailing performance drivers, strategic shifts, and upcoming optimizations. — Audit full user journeys from click to qualification, proposing ongoing landing page enhancements. — Execute technical SEO and Answer Engine Optimization initiatives including site speed fixes and email nurture workflows. — Leverage AI tools across daily operations, data analysis, reporting synthesis, and rapid creative ideation. — Develop and document standard operating procedures leveraging AI to increase throughput without compromising quality or strategic rigor. Requirements: — Minimum of 5 years of direct, hands-on performance marketing experience managing multi-client portfolios within an agency. — Deep, current technical proficiency in Meta Ads Manager and Google Ads (Search). — Proven track record driving high-intent B2C or high-consideration lead generation measured by sales outcomes. — Hands-on experience configuring GA4, GTM, Meta CAPI, offline conversion feeds, and custom Looker Studio dashboards. — Solid understanding of multi-touch attribution, channel mix modeling constraints, and cross-platform reporting discrepancies. — Active daily integration of AI workflows into campaign development, copy iteration, or analytical operations. — Exceptional written and verbal communication skills, able to produce executive-ready client summaries and precise creative briefs. — Full availability to work aligned with Sydney, Australia (AEST/AEDT) business hours. Preferred: — Practical expertise in landing page design principles, conversion rate optimization (CRO), and site speed auditing. — Exposure to technical SEO execution and AI search optimization (AEO/GEO). — Prior exposure to Australian real estate marketing, specifically residential off-the-plan projects. — Hands-on automation experience configuring email qualification funnels in platforms such as Zoho or Brevo. Benefits: — Full operational ownership of paid advertising across multiple client accounts. — Opportunity to work alongside senior strategy, video, and design directors. — Remote work aligned with Sydney business hours. Note: Employment is full-time as an independent contractor, working Sydney, AU business hours and holidays.

Location: paris, France Workplace: hybrid Location: Any MSF office* Contract: Permanent contract at 100% Starting date: 01st of February 2027 Deadline to apply: 03rd of December 2026 - We reserve the right to close this position once suitable candidates have been identified. Compensation and Benefits: MSF practice is to offer the compensation and benefits package in line with the MSF entity offering the contract *By default, the successful candidate will be offered a contract in the MSF office, able to issue a contract, of their country of residence at the time of application. If no MSF office exists in their country of residence, the successful candidate will be expected to relocate to a country where an MSF office can issue a contract, provided the local legislation allows for that. At MSF, we are committed to an inclusive culture that encourages and supports the diverse voices of our employees. We welcome applications from individuals of all genders, ages, sexual orientations, nationalities, races, religions, beliefs, ability status, and all other diversity characteristics. MSF is committed to preventing abuse, inappropriate behaviour, lack of integrity and financial misconduct in its work and care spaces. The successful candidate will be expected to comply with the organisation’s safeguarding policies and standards of professional behaviour. We are committed to removing barriers for people with specific accessibility needs. If you need an adjustment to the recruitment process to be considered for the role, please let us know from the beginning of the selection process. MSF International Médecins Sans Frontières (MSF) is an international, independent, medical humanitarian organisation that delivers emergency aid to people affected by armed conflict, epidemics, healthcare exclusion and natural disasters. MSF offers assistance to people based only on need and irrespective of race, religion, gender or political affiliation. MSF International is the legal entity that binds MSF’s 26 sections, 28 associations and 16 branch offices together. Registered in Switzerland, MSF International provides coordination, information and support to the MSF Movement, as well as implements international projects and initiatives as requested. Context MSF International provides coordination, information and support to the MSF movement and implements international projects and initiatives as requested. In 2026, MSF began a new six-year strategic cycle — the Strategic Planning and Resource Cycle (SPARC) — which replaces the previous Resources-Sharing Agreement (RSA4). SPARC brings together movement-wide priorities, coordinated decision-making, shared accountability and collective investment stewardship across the MSF movement. Within this framework, the Collective Portfolio is a core mechanism for translating SPARC ambitions into coherent, prioritised and monitorable movement-level investments. It brings together the Common Strategic Priorities Portfolio and other collective portfolio components, enabling the movement to assess strategic fit, sequencing, interdependencies, absorptive capacity, risk and value across a complex set of initiatives. The SPARC Interoperability priority in particular cuts across all other priorities and provides an enabling approach that shapes portfolio implementation and coherence. The Collective Portfolio Manager is the senior role responsible for holding together the diverse components of the Collective Portfolio during SPARC implementation. The role enables collective ownership, strengthens evidence-based steering, and reinforces accountability for results, resource choices and delivery against SPARC Goals and Principles. It operates across MSF’s decentralised governance and executive environment, working closely with the International Office, Executive Committees, the SPARC Steering Committee, the Portfolio Committee, finance stakeholders, content owners and senior leaders across the movement. As a member of the International Office management environment, the role also contributes to institutional coherence, organisational learning and SPARC-related change leadership. Purpose of the job The main purpose is to provide strategic leadership for SPARC’s Collective Portfolio to strengthen movement-wide accountability, prioritisation, effectiveness and alignment across collective investments. The role ensures that the Collective Portfolio has robust decision-making and accountability mechanisms. This includes ensuring that portfolio composition, investment choices, delivery performance, risk monitoring and resource visibility are integrated into cross-cutting analysis and timely executive decision-making. The role also leads management of the portfolio of work for the Common Strategic Priorities and advances portfolio, project and change management practice across the International Office and relevant executive platforms. This work involves paying particular attention to interoperability, absorption capacity, sequencing, implementation quality and organisational coherence. Finally, this position also supports the functioning of the SPARC Steering Committee. It provides coordination, analysis and synthesis needed for the Committee to fulfil its oversight role on behalf of the Full ExCom. The role helps translate information emerging from the Collective Portfolio, SPARC Coordinating Mechanisms and related reporting processes into coherent cross-cutting insight on progress, risks, resource implications, interdependencies and emerging tensions. Accountabilities 1. Manage the Collective Portfolio, enabling effective collective governance. Expected result: The Portfolio Committee, relevant executive platforms and the Full ExCom have timely, relevant and decision-ready information on portfolio performance, integration, resourcing and risk. Integrate and coordinate across the components and content owners of the Collective Portfolio, in line with the SPARC MoU and related governance arrangements; Translate portfolio design into practical governance and decision-making processes that strengthen collective ownership and disciplined portfolio stewardship; Oversee and report on portfolio composition, results, dependencies, risks and strategic fit, preparing analysis for decision-making in the Portfolio Committee and/or further escalation; Oversee and report on portfolio health, planning, and resourcing in close collaboration with the IO finance team, the FinDir and portfolio content owners, ensuring integration with the movement’s annual resource planning and budget cycle; Ensure that strategic, operational, organisational and implementation risks across the Collective Portfolio are identified, monitored and escalated appropriately, and facilitate the development of mitigation strategies with relevant stakeholders; Convene, prepare and facilitate the work of the Portfolio Committee in line with its terms of reference, ensuring focused discussion, sound documentation, clear follow-up and accountability for agreed actions; Develop approaches to gather learning and insight from portfolio implementation and contribute to the ongoing refinement, adaptation, and maturation of the Collective Portfolio model throughout the SPARC cycle. 2. Lead management of the portfolio of work in the Common Strategic Priorities, strengthening investment steering. Expected result: Initiatives and projects within the portfolio of work for the Common Strategic Priorities are strategically aligned, appropriately prioritised and collectively steered to optimise their contribution to SPARC goals and principles. Coordinate and align stakeholders in the Common Strategic Priorities, bringing coherence with approved Movement-level goals, principles, and agreed outcomes; Build and continuously improve the portfolio pipeline management process, ensuring transparency, consistency, usability and institutional learning; Drive analysis required for investment steering, including strategic relevance, interdependencies, timing, delivery feasibility, absorption capacity, opportunity costs, and portfolio balance; Cultivate reflection on emerging priorities, initiatives, or opportunities for better effectiveness or efficiency among Priorities; Broker shared understanding across stakeholders where priorities compete, perspectives diverge or conditions evolve, enabling collective choices in a decentralised environment without direct hierarchical authority; Promote equitable participation and enable the surfacing of diverse perspectives from across the movement in portfolio dialogue and prioritisation processes while maintaining focus on strategic coherence and delivery discipline; Track portfolio decisions, commitments and follow-up actions to strengthen visibility, continuity, and accountability. 3. Cultivate organisational learning, advancing portfolio-wide accountability for delivery results. Expected result: Collective portfolio oversight decisions are supported by evidence, implementation follow-through is tangible, and the movement has stronger accountability for the results of collective investments. Shape and maintain fit-for-purpose portfolio monitoring, reporting and review mechanisms to support executive decision-making and accountability for results; Consolidate portfolio information into clear, decision-ready reporting for governance and executive stakeholders, including progress, bottlenecks, deviations, unintended outcomes, risks, resource implications and emerging strategic choices. Follow up on regular reporting and related steering decisions, translating learning into actionable change, in particular with regards to gaps, delays, unresolved dependencies or accountability concerns. Drive the development of relevant review processes, evaluation exercises and reflection on Portfolio effectiveness, organisational learning and value generation. 4. Lead project, change and interoperability management practices across the International Office and executive Platforms. Expected result: The International Office and relevant executive platforms apply stronger portfolio, project and change management practices, enabling more coherent delivery, organisational learning and implementation effectiveness. Drive the improvement of portfolio, project and change management standards, practices and governance approaches across the International Office and relevant executive Platforms; Guide and promote disciplined approaches to planning, implementation, benefits realisation and organisational change; Advise stakeholders on ways to assess absorption capacity, implementation feasibility and unintended organisational effects when shaping or adjusting initiative processes, timelines, or scopes; Promote coordinated use of resources across projects, portfolios, and change initiatives, seeking efficiencies and facilitating cross-functional learning in the International Office and executive Platforms; Engage and align stakeholders around the SPARC Interoperability priority, facilitating shared accountability and progress against the Interoperability Ambitions to 2031 and related roadmap; Convene and facilitate relevant project and portfolio management communities or working groups in the Movement to strengthen knowledge-sharing, consistency, effectiveness and institutional learning; 5. Advise and support process design and facilitation for strategic initiatives or organisational transformation processes as requested by the ISG/DSG5. Support the SPARC Steering Committee in fulfilling its oversight, coordination and escalation role by providing timely portfolio analysis, cross-cutting insight, and decision-support across SPARC implementation Expected result: the Steering Committee is equipped with clear, integrated and decision-ready information that strengthens its ability to monitor SPARC implementation, identify and address cross-cutting challenges, and provide well-grounded advice and recommendations to the Full ExCom. Consolidate relevant inputs from the Collective Portfolio, SPARC Coordinating Mechanisms, monitoring and evaluation processes, and other reporting streams; Surface risks, interdependencies, resource implications, tensions and emerging issues; Support the preparation of coherent recommendations and documentation for Steering Committee review and onward escalation to the Full ExCom. Autonomy, complexity Autonomy to deliver results Operates with a high degree of autonomy within the mandate of the role. Determines portfolio management approaches, governance rhythms, prioritisation processes, analytical frameworks and facilitation strategies required to strengthen collective investment steering, accountability and executive decision-making. Exercises independent judgement on complex organisational, strategic and implementation issues with movement-wide implications, while escalating matters requiring broader executive or governance authority. Complexity of the environment The role operates in a highly complex and decentralised international environment involving multiple governance and executive bodies, operational directorates, sections, finance stakeholders and strategic initiatives with intersecting priorities, timelines and resource implications. The role requires navigating ambiguity, influencing without formal authority, balancing strategic and operational considerations, and enabling collective choices where perspectives, incentives and institutional interests may differ. The position must synthesise diverse streams of information into coherent portfolio insight while supporting implementation discipline across a dynamic and evolving strategic cycle. SAFEGUARDING REQUIREMENTS FOR THE ROLE The incumbent commits to contribute to a safe, supportive, inclusive, equitable, diverse, respectful and healthy workplace, free from abuse and other misconduct. They will not engage in any form of abuse, including those detailed in the MSF Typologies of Abuse. When an employee suspects or observes abuse, they will report it, without investigating it, to protect others. Ensure respectful management and communication at all levels. Ensure that staff and consultants under their supervision understand their responsibilities regarding expected behaviour and reporting abuse while working for MSF. Welcome complainants, guide colleagues towards the appropriate channels without investigating, and promote a working environment that does not tolerate abuse or inappropriate behaviour. Ensure that staff know how to raise concerns and are kept informed of reporting mechanisms. Education Master’s degree or equivalent professional competence in portfolio management, organisational strategy or public administration Advanced qualifications or certifications in portfolio, programme or change management are desirable. Experience Significant MSF experience is mandatory. experience in complex international and multi-stakeholder environments; experience leading or coordinating strategic portfolios, organisational transformation initiatives or cross-functional governance processes; proven track record of designing and facilitating senior-level consultation, prioritisation and decision-making processes, including with executive committees or governance bodies; strong experience influencing senior stakeholders and driving alignment across decentralised structures without direct hierarchical authority. Knowledge Understanding of portfolio, programme and change management approaches, governance models, organisational strategy and investment stewardship; understanding of complex organisational systems, prioritisation processes, accountability mechanisms and resource planning; familiarity with MSF’s movement dynamics, governance and executive environment, including the interaction between operational, strategic, financial and associative dimensions; demonstrated understanding of organisational interoperability, implementation risk, and cross-functional coordination in decentralised environments. Languages Native or near-native English. French, Spanish or Arabic are assets. Other Willingness and ability to travel regularly to MSF offices and operational contexts. Only shortlisted candidates will be contacted. By submitting an application, the job applicant confirms their understanding and acceptance of these recruitment procedures.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing, and curiosity into a new paradigm of using AI to transform knowledge into action. Thousands of attorneys, Am Law firms, and corporate legal teams already rely on Perplexity every week—and Legal is one of our highest-conviction enterprise verticals. Following the playbook that scaled Perplexity Finance, we are looking for an entrepreneurial Product Manager to build and scale our Legal vertical from the ground up. Product Managers at Perplexity work closely with design, engineering, research, and go-to-market teams to turn frontier AI capabilities into indispensable daily workflows. Whether you have a couple of years of product experience at a legal AI or B2B software company, or you are an early-career builder or operator with high agency and a steep trajectory, this role offers rare end-to-end ownership of a flagship vertical. In your application, please highlight a product, workflow, or agent system you’ve built—or a specific legal problem you believe AI is uniquely positioned to solve. THE ROLE Legal work sits at the exact intersection where Perplexity shines: high-stakes research, multi-document synthesis, verifiable citations, and multi-step execution across specialized systems. Winning in Legal requires clearing an uncompromising bar for accuracy, source authority, document fidelity, and enterprise governance—without sacrificing the speed and simplicity that make Perplexity magical. Sitting within our AI Capabilities & Verticals PM team, you will be the dedicated product owner for Perplexity’s Legal vertical. Rather than building an isolated point solution, you will shape how core Perplexity surfaces—Computer, Search, Teammates, Projects, Plugins, Skills, and Artifacts—come together into a cohesive, trusted experience for litigators, transactional counsel, and in-house legal teams. You will partner across Engineering, Design, AI Research, Partnerships, Sales, and Product Marketing to close product and data gaps, co-design with leading law firms and legal departments, and scale Legal into one of Perplexity’s flagship enterprise businesses. WHAT YOU’LL DO - Own the Legal vertical roadmap end-to-end: Define and execute product strategy across litigation research, M&A and transactional diligence, contract review and drafting, and in-house legal workflows—translating attorney pain points into modular capabilities that benefit the entire platform. - Ship core legal primitives and entrypoints: Partner with Engineering and Design to build the product surfaces high-stakes legal work demands—including structured multi-document review tables for diligence and discovery, passage-level inline citations with side-by-side source verification across PDFs/DOCX/spreadsheets, precision redlining and document comparison, and seamless workflows inside Microsoft Word, Outlook/email, and Slack. - Expand the legal data and connector ecosystem: Work closely with Business Development/Partnerships and Engineering to prioritize, integrate, and launch authoritative legal research sources (case law, citators, dockets, secondary sources) and system-of-record connectors across DMS, VDRs, CLM, e-discovery, and practice management (e.g., LexisNexis, Westlaw, iManage, NetDocuments, Datasite, Intralinks, Ironclad, Clio). - Build Legal Skills, Plugins, Teammates, and tailored onboarding: Design out-of-the-box legal workflows, domain-specific Skills, and tailored onboarding flows that ingest a lawyer’s or firm’s clause playbooks, precedent templates, and drafting conventions for immediate time-to-value. - Set the bar for accuracy, evaluations, and enterprise trust: Partner with AI Research and Engineering to build realistic, workflow-level legal benchmarks and evaluation harnesses (measuring citation fidelity, retrieval recall, tabular extraction, and redline quality), alongside enterprise controls for permissions, matter-level governance, and data handling. - Co-design with customers and accelerate vertical GTM: Build design partnerships with leading law firms and corporate legal teams, join strategic customer calls to turn live blockers into shipped product, and partner with Sales, Applied AI, and Product Marketing to craft category-defining demos, case studies, and self-serve and enterprise growth loops. QUALIFICATIONS - 1–4+ years of experience in product management, founding/early-stage product building, forward-deployed product/solutions, or a high-intensity analytical/operating role (such as startup operations, strategy consulting, or investment banking) paired with hands-on product shipping. We index heavily on slope, curiosity, and execution speed rather than years on a resume. - No JD or formal legal degree required—though genuine curiosity about how legal professionals research, analyze risk, negotiate, and deliver work is essential. - AI-native builder: You actively build with LLMs and agents. You are comfortable writing and tuning prompts and Skills, prototyping workflows end-to-end, reasoning about tool calls and context budgets, and designing evaluations and human-in-the-loop safeguards for non-deterministic systems. - Analytical and data-fluent: Comfortable writing SQL, pulling your own cohorts, instrumenting failure modes, running guarded experiments, and pairing warehouse metrics with qualitative user research to focus on what drives retention and repeat high-value usage. - Crisp communicator and high-velocity executor: Strong written and verbal communication; comfortable moving directly from a partner call with an Am Law firm into writing a tight spec with engineers and shipping iterations the same week. - High-ownership operator: Thrives in a small, agile, low-ego team where processes are still being defined and you own the full stack of the outcome—from multi-quarter vertical strategy down to dogfooding edge cases in redlined Word documents. NICE TO HAVE - Experience building or operating at a legal AI, legal tech, e-discovery, CLM, or vertical enterprise AI company (or working directly with law firms and corporate legal departments). - Familiarity with real-world legal workflows and tooling—such as litigation cite-checking (Shepard’s/KeyCite), M&A virtual data rooms, contract redlining playbooks, DMS/CLM integrations, or Microsoft Office add-ins. - Technical foundation (CS, engineering, data science, or dual technical/business training) with comfort reading API documentation, MCP/connector schemas, and system architectures.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing, and curiosity into a new paradigm of using AI to transform knowledge into action. Thousands of attorneys, Am Law firms, and corporate legal teams already rely on Perplexity every week—and Legal is one of our highest-conviction enterprise verticals. Following the playbook that scaled Perplexity Finance, we are looking for an entrepreneurial Product Manager to build and scale our Legal vertical from the ground up. Product Managers at Perplexity work closely with design, engineering, research, and go-to-market teams to turn frontier AI capabilities into indispensable daily workflows. Whether you have a couple of years of product experience at a legal AI or B2B software company, or you are an early-career builder or operator with high agency and a steep trajectory, this role offers rare end-to-end ownership of a flagship vertical. In your application, please highlight a product, workflow, or agent system you’ve built—or a specific legal problem you believe AI is uniquely positioned to solve. THE ROLE Legal work sits at the exact intersection where Perplexity shines: high-stakes research, multi-document synthesis, verifiable citations, and multi-step execution across specialized systems. Winning in Legal requires clearing an uncompromising bar for accuracy, source authority, document fidelity, and enterprise governance—without sacrificing the speed and simplicity that make Perplexity magical. Sitting within our AI Capabilities & Verticals PM team, you will be the dedicated product owner for Perplexity’s Legal vertical. Rather than building an isolated point solution, you will shape how core Perplexity surfaces—Computer, Search, Teammates, Projects, Plugins, Skills, and Artifacts—come together into a cohesive, trusted experience for litigators, transactional counsel, and in-house legal teams. You will partner across Engineering, Design, AI Research, Partnerships, Sales, and Product Marketing to close product and data gaps, co-design with leading law firms and legal departments, and scale Legal into one of Perplexity’s flagship enterprise businesses. WHAT YOU’LL DO - Own the Legal vertical roadmap end-to-end: Define and execute product strategy across litigation research, M&A and transactional diligence, contract review and drafting, and in-house legal workflows—translating attorney pain points into modular capabilities that benefit the entire platform. - Ship core legal primitives and entrypoints: Partner with Engineering and Design to build the product surfaces high-stakes legal work demands—including structured multi-document review tables for diligence and discovery, passage-level inline citations with side-by-side source verification across PDFs/DOCX/spreadsheets, precision redlining and document comparison, and seamless workflows inside Microsoft Word, Outlook/email, and Slack. - Expand the legal data and connector ecosystem: Work closely with Business Development/Partnerships and Engineering to prioritize, integrate, and launch authoritative legal research sources (case law, citators, dockets, secondary sources) and system-of-record connectors across DMS, VDRs, CLM, e-discovery, and practice management (e.g., LexisNexis, Westlaw, iManage, NetDocuments, Datasite, Intralinks, Ironclad, Clio). - Build Legal Skills, Plugins, Teammates, and tailored onboarding: Design out-of-the-box legal workflows, domain-specific Skills, and tailored onboarding flows that ingest a lawyer’s or firm’s clause playbooks, precedent templates, and drafting conventions for immediate time-to-value. - Set the bar for accuracy, evaluations, and enterprise trust: Partner with AI Research and Engineering to build realistic, workflow-level legal benchmarks and evaluation harnesses (measuring citation fidelity, retrieval recall, tabular extraction, and redline quality), alongside enterprise controls for permissions, matter-level governance, and data handling. - Co-design with customers and accelerate vertical GTM: Build design partnerships with leading law firms and corporate legal teams, join strategic customer calls to turn live blockers into shipped product, and partner with Sales, Applied AI, and Product Marketing to craft category-defining demos, case studies, and self-serve and enterprise growth loops. QUALIFICATIONS - 1–4+ years of experience in product management, founding/early-stage product building, forward-deployed product/solutions, or a high-intensity analytical/operating role (such as startup operations, strategy consulting, or investment banking) paired with hands-on product shipping. We index heavily on slope, curiosity, and execution speed rather than years on a resume. - No JD or formal legal degree required—though genuine curiosity about how legal professionals research, analyze risk, negotiate, and deliver work is essential. - AI-native builder: You actively build with LLMs and agents. You are comfortable writing and tuning prompts and Skills, prototyping workflows end-to-end, reasoning about tool calls and context budgets, and designing evaluations and human-in-the-loop safeguards for non-deterministic systems. - Analytical and data-fluent: Comfortable writing SQL, pulling your own cohorts, instrumenting failure modes, running guarded experiments, and pairing warehouse metrics with qualitative user research to focus on what drives retention and repeat high-value usage. - Crisp communicator and high-velocity executor: Strong written and verbal communication; comfortable moving directly from a partner call with an Am Law firm into writing a tight spec with engineers and shipping iterations the same week. - High-ownership operator: Thrives in a small, agile, low-ego team where processes are still being defined and you own the full stack of the outcome—from multi-quarter vertical strategy down to dogfooding edge cases in redlined Word documents. NICE TO HAVE - Experience building or operating at a legal AI, legal tech, e-discovery, CLM, or vertical enterprise AI company (or working directly with law firms and corporate legal departments). - Familiarity with real-world legal workflows and tooling—such as litigation cite-checking (Shepard’s/KeyCite), M&A virtual data rooms, contract redlining playbooks, DMS/CLM integrations, or Microsoft Office add-ins. - Technical foundation (CS, engineering, data science, or dual technical/business training) with comfort reading API documentation, MCP/connector schemas, and system architectures.

Location: cairo, Egypt Role summary Reports to: Director of Programs and Customer Success Location: Cairo, Egypt (hybrid), with regular travel across the GCC Works closely with: Commercial team, Program Managers, Costing and Pricing, Strategic Partnerships The role. The Solutions Lead is the bridge between what partners need and what Manara can deliver. You will research ecosystems and prospective partners, build a deep working knowledge of our delivery capabilities, and turn that into proposals and concept notes that win. You will pitch alongside the commercial team as the owner of the solution, then hand over cleanly to Programs for delivery. What you will do Ecosystem and partner research Map target ecosystems across MENA (governments, foundations, tech companies, development organizations), with priority on KSA, UAE, Qatar, and Egypt. Build partner briefs covering strategic priorities, funding cycles, workforce agendas, and decision makers. Track national strategies, labor market data, and policy shifts, and turn them into the evidence base for each proposal. Delivery capability mastery Learn Manara's program models, curricula, delivery partners, certification pathways, outcomes data, and operational constraints in detail. Own a living capability library: case studies, program archetypes, impact metrics, and reusable proposal modules. Work with Program Managers to keep the library accurate and grounded in what we can actually deliver. Proposal and concept note design Lead concept notes, proposals, and pitch decks from first brief to final submission. Design program architecture: target cohorts, learning journeys, delivery model, timelines, KPIs, and MEL frameworks. Build realistic delivery budgets with Costing, and align on pricing and terms with the commercial team. Run feasibility checks before we commit, and flag delivery risks early. Pitching and stakeholder engagement Co-present with the commercial team, owning the solution narrative and answering technical and design questions. Lead discovery conversations to sharpen requirements and tailor the offer. Manage revisions and follow-ups through to contracting. Handover and continuous improvement Produce structured handover packs so Programs can launch without re-scoping. Run win/loss reviews and feed lessons into templates, positioning, and the capability library. What success looks like in the first 6 months Owns end-to-end pre-sales on at least 5 active opportunities with minimal Director involvement. Capability library and proposal template set are live and used by the commercial team. Average proposal turnaround is shorter, and every submission passes a feasibility and costing check. No major re-scoping after handover on newly won programs. What we are looking for Must have 5+ years in pre-sales, solution design, proposal development, or program design, ideally in education, workforce development, consulting, or tech. A track record of winning proposals or concept notes for government, foundation, or corporate funders. Strong research and synthesis: you can turn a national strategy and a labor market report into a sharp program rationale. Excellent written and spoken English and Arabic. Confidence presenting to senior stakeholders and defending design choices. Commercial awareness: you understand margins, cost drivers, and how scope shapes price. Nice to have Experience with GCC government entities or development organizations. Familiarity with cloud, AI, or digital skills ecosystems (AWS, Google, Microsoft, Adobe). Background in MEL or outcomes-based program design. Strong deck-building and visual storytelling skills. What this role is not This is not a sales quota role and not a delivery role. You will not own long-term partner relationships or run programs. You will own the quality, feasibility, and persuasiveness of everything we propose.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Design Operations Manager (DesignOps), you will sit within Mistral's Product Operations function, with a focus on streamlining the operations of the design team. You will own how the Design team operates as a system — its cadences, its rituals, its coordination, and the connective tissue that lets designers focus on design. This role exists because a design org at our scale needs someone whose full-time job is the operating system itself: defining it, holding it, and continuously tuning it so the team runs with a heartbeat rather than on ad-hoc heroics. You will own the team's weekly and quarterly cadences — from leadership syncs to planning, retros, and share-outs — and establish how we track work, surface it outward, and make decisions. You'll design the forums where decisions get made and recorded, keep the rituals that create alignment, and aggressively cut the ones that are just overhead. Equally, you are the bridge across the org. You will coordinate the interlocks between Brand and Marketing for upcoming launches, and between Product and Product Design for the build pipeline — so interdependencies are understood and planned for, not discovered at the last minute. You will partner closely with marketing, PMs, engineering, GTM to align design work with go-to-market timing and surface what's shipping before it ships. This is a team-of-one role with a founding design-ops mentality. You will build the discipline from scratch, automate repetitive coordination with AI where it helps, and coordinate people where it matters. You report to the Head of Product Operations, working day-to-day with the Head of Design and the design team.   WHAT YOU WILL DO - Define the operating system of the design team — the cadences, forums, rituals, and source-of-truth that keep the team aligned and moving forward. - Own the weekly and quarterly cadences, from leadership syncs and critiques to planning, retros, and headcount-cycle inputs. - Coordinate the Brand × Marketing and Product × Product Design interlocks so design work is surfaced with enough lead time and dependencies are planned, not discovered late. - Establish how the team tracks and shares out work — a single source of truth for status, and the forums where design is made legible to the rest of the org. - Design and hold decision-making forums so decisions get made, recorded, and not relitigated. - Separate ritual from overhead — keep the cadences that create alignment and cut the ones that are just tax. - Automate repetitive coordination, reporting, and tracking with AI so the team spends time on design, not admin. - Bring the wider Product Operations toolkit to the design team — data and analytics for transparent reporting, structured feedback loops and early-access programmes, and launch coordination that aligns design work with product release cycles and go-to-market timing. - Partner with marketing, PMs, engineering and GTM to align design work with go-to-market timing and surface what's shipping.   WHAT WE'RE LOOKING FOR - 6–10 years of experience in design operations, product operations, program management, or a chief-of-staff role within a creative or product organization. - A founding design-ops mindset — you've built operational disciplines from scratch, not just maintained inherited ones. - Comfortable automating with AI tools to remove repetitive overhead, while equally skilled at coordinating people and building coalitions without authority. - Strong systems thinking — you design repeatable rhythms and processes, not just run meetings. - Design literacy — enough background to have felt the pain designers feel and to be credible with the team. - A make-it-happen attitude: positive, bias to action, unblocks rather than escalates. - Excellent communication and synthesis skills — you turn scattered signals into a shared source of truth. - Ability to thrive in ambiguity and define your own scope in a role with no playbook and no team to delegate to. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Workplace: remote Location : The role requires on-site presence 2-3 days a week in Boston. Responsibilities : Develop and execute a tailored OCM strategy aligned to the Digital program objectives, phased rollout plan, and go-live milestones Assess change impacts and organizational readiness across all digital solution rollouts, including ELN, Lab Data Hub, Sample Inventories, LARA, and PlaNN Create and maintain actionable OCM deliverables: stakeholder maps, communication plans, training strategies, adoption metrics, and readiness assessments Support the transition from fragmented, manual workflows to integrated, automated scientific workflows — helping scientists shift effort from data administration to target discovery Partner with RDP Lead and a team of Sr. Scientific Business Analysts Digital Leads, scientists, lab managers, and program leadership to build sponsorship and drive adoption across all user groups Engage with key LoB representatives (Peptide Synthesis, Generic Biology, Rare Diseases, and In-Vivo research teams) as new use cases are continuously onboarded Facilitate workshops, focus groups, and feedback sessions with lab scientists and scientific support staff Support change agent networks and site champions within the Waltham facility Navigate organizational complexity Design and deliver clear, role-based communication materials that articulate the "why, what, and how" of transitioning to integrated digital lab tools — including ELN, Lab Data Hub, Sample Inventory, LARA, and PlaNN Collaborate with training teams to develop scientist-facing, role-based training for each solution go-live: ELN experiment documentation and template workflows Instrument data ingestion and Lab Data Hub usage Sample lifecycle management in Mosaic/BioHome In-vivo study management in LARA (Inset Climb) Request and reservation workflows in PlaNN (Wrike) Ensure ongoing reinforcement and adoption support post go-live, including for use cases onboarded continuously Actively participate in the Digital Program governance structure, collaborating with the Program Manager, RDP Lead, PMO, and LoB Representatives What we expect : Bachelor's or Master's degree in Business, Organizational Development, Psychology, Communication, or related field 5+ years of OCM experience, ideally within large-scale IT or digital transformation programs Experience working in or with research, pharma, or life sciences environments strongly preferred Familiarity with laboratory environments, scientific workflows (e.g., experiment design, sample management, in-vivo studies), and the challenges of digitizing lab operations is a significant advantage Experience supporting SaaS platform rollouts and multi-system integrations in complex organizations Strong knowledge of change management methodologies (Prosci ADKAR, Kotter, etc.) Ability to translate complex technical digital solutions into scientist-friendly language and adoption strategies Excellent facilitation, communication, and presentation skills — comfortable engaging both scientists and senior program stakeholders Analytical mindset with experience tracking adoption and readiness metrics Ability to operate in a fast-paced, use-case-driven delivery model where scope evolves continuously based on prioritized research use cases Comfortable operating in a global, matrixed organization with evolving priorities and stakeholder groups Nice to have : Experience within life sciences, biotechnology, healthcare, pharmaceutical, or other regulated industries Familiarity with scientific or laboratory environments and research workflows We offer : Competitive compensation Remote work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're hiring a Product Manager to own Postgres itself at Supabase. Every Supabase project is a full Postgres database, and Postgres is the foundation that Auth, Storage, Realtime and Edge Functions run on. You'll own the product experience of the database: Postgres versions and upgrades, maintenance, observability, extensions and security. You'll work closely with our Postgres engineering teams and with the PM lead for Databases, who leads Multigres https://www.youtube.com/watch?v=PxlZssDNrws. You'll define the Postgres requirements that architecture must meet, and own how customers experience their database through that transition. This role is ideal for someone who loves Postgres, sweats the details that make a database trustworthy, and is excited about improving the experience for millions of developers. Small improvements here compound across every project on the platform. WHAT YOU’LL BE RESPONSIBLE FOR - You'll own Postgres versions, upgrades and end-of-life. Which major and minor versions we support, how and when customers upgrade, and how we retire old versions. Your goal is to make upgrades routine rather than risky. - You'll make maintenance predictable. You'll design how we schedule, communicate and run maintenance windows so customers stay informed and in control, and disruption is rare and expected. - You'll help developers understand their database. Query performance, metrics, logs and advisors: you'll own the path from "my database is slow" to the fix. - You'll own our extension ecosystem. Which extensions we offer, how we evaluate and support new ones, and how we keep them working across versions. - You'll own Postgres security. Roles and permissions, Row Level Security ergonomics, secure defaults, and how we respond to Postgres and extension CVEs. - You'll talk to developers across the full spectrum, from indie developers on their first project to enterprises running critical workloads, and bring what you learn into every prioritization call. - You'll own the problem definition, requirements and success metrics for what we ship, such as upgrade success rate, the share of the fleet on supported versions, and time-to-diagnose for performance problems. You'll set the metric before the team builds, then track it after launch. - You'll keep Engineering, Support and GTM aligned. You'll own the plan of record for what's coming, why, and in what order, and communicate version changes and deprecations clearly to customers. YOU MIGHT BE A GOOD FIT IF YOU MUST HAVE - 4+ years of Product Management experience on databases, developer tools or infrastructure, or equivalent depth as an engineer, DBA or founder moving into product. You're comfortable commenting on an architecture doc and advocating for the user when trade-offs are required. - Know Postgres well, or another relational database well enough to ramp quickly. You're comfortable reading EXPLAIN output and talking about replication, WAL, roles and extensions. - Have shipped products where reliability and trust are the experience. You treat downtime and breaking changes as product problems, not just operational ones. - Write clearly. Your specs, announcements and deprecation notices leave little room for confusion. - Build with what you own. You run queries, test upgrades and try extensions yourself, and form opinions through first-hand use. - Use AI to move faster. You use AI tools to compress research, drafting and feedback synthesis so you spend more time on judgment calls. - Work async by default. Supabase is fully remote. You make decisions in writing and move work forward without meetings. STRONG SIGNAL - Worked on a managed database service. - Ran Postgres in production: upgrades, tuning, incident response. - Worked on database observability, performance tooling, or security and compliance products. - Contributed to Postgres, its extensions, or the wider open-source community. - Shipped something using Supabase. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍UK Remote (with essential travel to our global offshore sites) | 💰£41,300 - £52,250 + Incentive Awards + Benefits ✨ Our Global Ops Team ⭐️ At Monzo, our customers should receive great service regardless of where it is delivered. Successful partner programmes depend on understanding what is happening in practice and completing the detailed work required to move from an agreed plan to a delivered outcome. The Partner Programme Delivery Lead exists to investigate the operational reasons behind thematic issues and drive the detailed delivery of agreed projects and workstreams. You will work with data, customer interactions, operational processes, teams and partners to uncover root causes, test assumptions and turn agreed actions into measurable results. Delivery is expected at every level within the pillar. In this role, most of your time will be spent in the detail of investigation and execution, understanding the operational reasons an issue needs solving and completing the work required to drive the solution forward. You may own a defined workstream within a larger Manager-led programme or independently deliver a smaller project where the direction, scope and intended outcome are already clear. 🔑 You’ll play a key role by... Investigation and root cause analysis Thematic scope & root cause assessment: Investigate systemic partner-wide issues within agreed focus areas, testing hypotheses to isolate root causes from symptoms and determining whether issues are genuinely thematic or belong within specific domain ownership. Quantitative data analysis: Analyse multi-source operational datasets—including customer outcomes, complaints, quality scores, and workflow metrics—to spot underlying trends, exceptions, and performance patterns. Qualitative field research & journey auditing: Conduct on-site process shadowing, customer journey reviews, and direct interviews with frontline partner and Monzo teams to evaluate actual operational practices against intended process design. Evidence synthesis & impact documentation: Triangulate quantitative and qualitative findings to identify structural drivers (tools, policy, capability, or operating model), clearly documenting root causes, customer impacts, and required next steps. Detailed project and workstream delivery Workstream planning & direct execution: Own the end-to-end delivery of assigned projects and workstreams, translating strategic approaches into detailed delivery plans (milestones, owners, dependencies) and actively executing hands-on tasks to drive momentum. Cross-functional & partner alignment: Serve as the day-to-day operational contact across Global Ops, GCOO, and partner teams—leading regular working sessions, setting clear delivery expectations, and constructively challenging missed commitments. Risk governance & record management: Proactively identify and resolve risks, issues, and dependencies early, escalating material blockers while maintaining transparent, accurate delivery records and baseline progress tracking. Operational readiness & BAU handover: Ensure implementation readiness, monitor post-launch performance to verify intended outcomes materialise, and support stabilisation through to formal transition into business-as-usual. Insights, recommendations and business cases Insight synthesis & evidence auditability: Translate complex investigation findings into root-cause insights and actionable solutions, maintaining a robust evidence trail to validate strategic recommendations and decisions. Business case & operational analysis: Author business cases for smaller initiatives and supply detailed analytical inputs—covering costs, benefits, risks, and customer impacts—for Manager-led strategic proposals. Product & Tech process optimisation: Deliver operational analysis for Product and Technology proposals, evaluating system enhancements and process simplifications to optimise service delivery. Leadership communications & stakeholder papers: Draft clear updates, briefing papers, and executive presentation materials to synthesise analytical data and drive leadership decision-making. Team and portfolio contribution Portfolio mobility & cross-functional collaboration: Partner closely with leads on strategic initiatives while retaining full ownership of assigned workstreams, flexibly deploying capacity across the portfolio as business priorities evolve. Proactive risk & insight generation: Identify emerging risks, operational patterns, and areas for investigation, sharing key learnings to refine future program design and global estate decisions. Pillar standards & capability development: Drive continuous improvement by establishing consistent analytical and workstream frameworks across the pillar, while proactively expanding expertise in outsourced operations, partner management, and data analytics. Global on-site engagement: Travel periodically within the UK and internationally to support on-site investigations, partner discovery, mobilisation, transitions, and operational stabilisation. 🤩 We’d love to hear from you if… Essential experience independently delivering defined projects or substantial workstreams from initial planning through implementation and handover. Clear history of working directly with external partners, proving you would have the confidence to represent Monzo professionally in day to day delivery conversations. Experience preparing delivery plans, analysis, updates, recommendations or business case content for stakeholder review. Strong planning and organisation skills, with the ability to coordinate detailed actions, owners and dependencies while maintaining attention to quality. Ability to travel within the UK and internationally when required. We currently have sites in India, Romania and South Africa, with plans underway for the EU. Strong analytical skills, with the ability to find, interpret and combine data from different sources to answer business questions. Confidence using spreadsheets, reporting tools and operational data to identify patterns, test assumptions and measure outcomes. An investigative mindset and the curiosity to understand how work operates in practice. Experience or confidence undertaking customer interaction shadowing, case reviews, process observation and structured conversations with frontline teams. The ability to complete structured root cause analysis and distinguish isolated examples from wider operational or partner themes. Strong problem solving skills, with the ability to move from an unclear issue to evidence based findings and practical proposed actions. The ability to work independently with limited oversight while recognising when a risk, decision or dependency requires escalation. Strong stakeholder management skills, with the confidence to coordinate activity and challenge missed commitments across different teams. Excellent written and verbal communication skills, with the ability to make detailed or complex information clear and accessible. Sound judgement when balancing pace, customer outcomes, quality, risk, cost and operational practicality. Experience working in an operational, regulated or customer sensitive environment. Adaptability and resilience, with the ability to respond constructively when priorities, plans or available information change. A collaborative approach and willingness to support colleagues across the wider portfolio while retaining accountability for your own delivery. Experience working with outsourced operations, suppliers or third party partners would be valuable but is not essential. Experience within financial services, global operations, project delivery, partner mobilisation, transition or customer experience analysis would also be beneficial. 🌈 The application journey has 4 key steps: Application questions 30 minute Recruiter Call Practical take-home task Competency-based interview around Stakeholders and Values 🙌 What’s in it for you 💰 £41,300 - £52,250 + Incentive awards + Benefits ✨ 📍Distributed working within the UK (with ad hoc meetings in London) and essential international travel to our offshore partner sites. 🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . Our average process takes around 4 weeks but we'll always work around your availability. You'll have the chance to speak to our recruitment team at various points during your process, but if you do have any specific questions ahead of this please contact ninaebanksmetcalfe@monzo.com 🤖 We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here . Applications will close once a sufficient number of high-quality submissions are received, so early application is strongly encouraged. #LI-REMOTE #LI-NEM Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊