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Markets and Street Trading Stall Operative \n Job Number: HCAA03185 \n Contracted Hours: 7 \n SCP Range: £31,668 \n Be the engine behind Hackney’s legendary markets \n Hackney is one of the most dynamic and progressive local authorities in the UK. We are a resilient, vibrant, and creative borough in the heart of London, with strong, diverse communities and a powerful set of shared values \n From Ridley Road to Broadway, Hackney’s markets are iconic. As a Market Stall Operative, you’ll be on the frontline, setting up stalls before the sun rises, ensuring everything runs safely and smoothly, and keeping the heart of Hackney beating strong. \n We’re looking for hardworking, practical, customer-focused team players who love the buzz of public space and don’t mind early mornings or working in all weather. You’ll be lifting, building, packing down and talking to traders every day. \n This role requires working every Saturday and Sunday. Please only apply if you can commit to weekend working on a permanent basis. This is your chance to be part of one of the UK’s most celebrated market services, supporting local businesses, helping residents, and making Hackney a better place to live, shop and celebrate. \n The Role \n Hackney’s historic markets are where early mornings meet local pride. As a Market Stall Operative, you will be part of a high-performing operational team responsible for setting up, managing and safely taking down the borough’s street markets. \n You will work across Hackney’s markets and street trading sites to build, dismantle and store stalls, gazebos, tables, barriers and lighting systems. This is a physically demanding role that involves manual handling, working at pace, and operating safely in all weather conditions. \n You will also be one of the most visible faces of the service, supporting traders, engaging with the public, and helping ensure markets operate safely, efficiently and professionally. \n Shifts start early (from around 5 am) and are delivered outdoors in all weather conditions. \n What the Role Involves \n\n • Setting up and taking down market stalls, gazebos, tables and lighting\n, • Loading and unloading equipment from storage containers and trailers\n, • Installing barriers, signage and cabling safely and correctly\n, • Keeping market areas clean, safe and hazard-free during and after trading\n, • Supporting traders with access to stalls and resolving issues on-site\n, • Reporting damage, safety concerns or incidents to supervisors\n, • Working as part of a close-knit team to deliver markets on time\n, • Representing Hackney Council professionally to traders and the public\n, • Working every Saturday and Sunday, with occasional weekday shifts where required\n\n Who We’re Looking For \n You will be: \n\n • Physically fit and able to carry out manual work for prolonged periods\n, • Comfortable working outdoors in all weather\n, • Reliable, punctual and able to work early starts consistently\n, • A strong team player with a positive, can-do attitude\n, • Confident engaging with traders and members of the public\n, • Committed to health and safety and following clear procedures\n\n This is a permanent operational role and is not suitable for short-term, casual or seasonal availability. \n Why Join Us? \n Our Markets, Shop Fronts & Street Trading Service is: \n\n • Nationally recognised and internationally referenced\n, • A multi-award-winning service, recognised by LGC, APSE, NABMA and others\n, • A driver of inclusive economic growth and community pride\n, • Home to iconic markets including Ridley Road, Broadway and Chatsworth Road\n, • A service where staff are valued, supported and developed\n\n Ready to Shape the Future? \n If you want a role where your work is visible, valued and makes a real difference every day, we would love to hear from you. \n Hackney Council is committed to equality, diversity and inclusion and welcomes applications from all backgrounds. \n We operate a fair and open anonymous selection process. Therefore, we do not accept supporting statements or CV’s. \n To proceed with your application, you will need to create an account and submit your application. As part of the application process, you will need to complete a number of competency based questions. These questions allow you to demonstrate your suitability for the role and provide examples of your skills, knowledge and experience outlined in the job description. \n We understand the benefits of using AI in the workplace. However, if you are thinking of using this tool to submit your application, we ask you to think about what value it will add. AI tools tend to lack the personal touch and authenticity we value in candidates. We encourage you to showcase your unique knowledge and skills using your own voice. \n Closing date for applications: 12 November 2026 (22.59) \n Interview date: TBC \n We are also working towards our vision, which is to be a place for everyone; where residents and staff can be proud. In order to achieve this, we are seeking individuals who embody our "PROUD" values: Purpose and Respect, where we foster belonging through active inclusion, kindness, and open dialogue; Ownership, where we champion proactive collaboration and accountability for our shared success; and Unity and Diversity, where we work as one Council to break down silos and champion anti-racist behavior. \n Hackney Council works to eradicate discrimination on the basis of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation. We also recognise that people can be disadvantaged by their social and economic circumstances, so we will also work to eliminate discrimination and disadvantage caused by social class. We also welcome those interested in flexible working. We particularly welcome applications from disabled people, as this group is currently under represented in our workforce. \n The Council has a dedicated employment support service (Hackney Works), which offers Hackney residents guidance in relation to applying for jobs. If you are thinking about applying for a job, please contact the Hackney Works team to find out what support is available.

Manufacturing Expeditor x 4 Gloucestershire - onsite Shifts - Day / Bridge / Night £30-35 per hour Inside IR35 6-12 months Are you someone who refuses to let critical tasks stall? Do you enjoy working with multiple teams to make things happen and hitting tangible results every day? We are looking f

Markets and Street Trading Stall Operative. As a Market Stall Operative, you will be part of a high-performing operational team responsible for setting up, managing and safely taking down the borough’s street markets. You will work across Hackney’s markets and street trading sites to build, dism

You will work across Hackney’s markets and street trading sites to build, dismantle and store stalls, gazebos, tables, barriers and lighting systems. Hackney Council works to eradicate discrimination on the basis of age, disability, gender reassignment, marriage and civil partnership, pregnancy an

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website ( monks.com/careers ). Monks is looking for an embedded mid-weight Project Manager (Category and Lifecycle Content) to join our client's EU Cross-channel Marketing (XCM EU) team of a major global client, managing the flow of category and lifecycle content through the team's systems. Around 20 briefs a month enter the intake, much of it through automated workflows, and you will need to know exactly what is happening to each one: what is in, where it sits, who owns it, and when it lands. Roughly a quarter of the role is category campaign work, where you will also manage the dedicated category creative team, a copywriter and three designers within the wider creative team; the remainder supports the always-on lifecycle workstream, which is delivered through the wider creative team and established production partners, following a process that is already in place. You will work across a wide range of stakeholders, from campaign managers and creative leads to production partners, and you will be the person who turns a busy, partly automated pipeline into something everyone can see and trust. The role is fully embedded in the client's XCM EU team and will be hybrid, with three days a week in the London office. This is a one-year fixed-term contract, starting as soon as possible. • Manage the category creative team day-to-day, a copywriter and three designers within the wider creative team: brief them, plan their workload and keep their work moving to deadline., • Manage category and lifecycle briefs from intake through to delivery, keeping timings, owners and status current in the team's tools., • Monitor the automated intake and workflows, spotting where requests stall, duplicate or fall outside the process, and resolving them., • Maintain clear timing plans and deliverable lists, and flag risks to timeline or scope early., • Manage lifecycle work through the wider creative team and established production partners within the existing process, and coordinate reviews and approvals with campaign managers, creative leads and partners., • Support localisation and versioning across EU markets, ensuring accurate and timely delivery., • Produce simple, regular reporting on volume, status and turnaround so the team can see what is moving and what is stuck., • Contribute to improving the process and tooling around category and lifecycle work., • 5+ years in project management in a creative, marketing, or production environment, agency or in-house., • Genuinely tool-literate: hands-on with Figma and Asana, quick to learn the client's internal systems, and comfortable working inside automated workflows rather than around them., • Experience managing high-volume, repeatable content work across multiple stakeholders., • Organised, calm under volume and precise about detail., • Confident communicating with stakeholders at all levels, in writing and in person., • Proactive, solutions-focused and able to work with minimal supervision., • Experience with CRM, email, or lifecycle marketing content., • Experience with multi-market localisation., • Interest in automation and AI tools in content operations. At .monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants from all backgrounds who are excited to contribute to our mission. #LI-RE1 #LI-Hybrid Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect. This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave: Global Marketing Services and a leader in the 2026 Gartner Magic Quadrant for Global Digital Marketing Agencies. It ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with the world around us. At Monks, we are committed to protecting your personal information. As part of our recruitment process, we collect and process personal data to evaluate your application and communicate with you. To understand how we handle your information, including the types of data we collect, how we use it, and your rights, please read our Monks Candidate Privacy Notice . We encourage you to review this notice to ensure you are fully informed about how your data will be managed during your application process. Monks does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. #J-18808-Ljbffr

Axo Consulting is a specialist consultancy working across cost consultancy, development analysis, and stakeholder management for residential and commercial property. We handle procurement and professional team management, and deliver schemes from origination through to occupation. Our expertise spans the full development lifecycle, advising developers and funders where governance and delivery meet. Our philosophy is simple: expert human judgement, at speed. Role Description This is a full-time hybrid Project / Development Manager role based in Soho, W1, with work-from-home flexibility and flexi hours. This is a hands-on role running new build and refurbishment schemes across residential and commercial sectors, from feasibility and brief through to practical completion and handover. Day to day, that means managing programme, cost, risk, and quality, coordinating consultants and contractors, running procurement, chairing meetings, and keeping schemes moving when they stall. You will work directly alongside the co-owners, with no management layer in between, and get genuine ownership from day one. We will not pigeonhole you. The right person here wants range across sectors and the full project lifecycle, not a narrow lane. We are looking for a hard worker and a career charger who wants to grow as the practice scales. Qualifications • Project and development management skills across the full lifecycle, • Delivery experience on live new build and refurbishment schemes, • Programme, cost, risk, and quality management skills, • Procurement and contract management skills, • Stakeholder engagement and strong leadership skills, • Confident with clients, contractors, and consultants, • Organised, proactive, and genuinely accountable, • Entrepreneurial instinct: you notice inefficiency and want to fix it, • Experience across residential and commercial sectors is a plus, • MRICS, MCIOB, or APM, qualified or working toward, or the experience to match, • Curiosity about AI and how it could change project delivery is a plus #J-18808-Ljbffr

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations.The difference between an AI Engineer and what we are looking for is straightforward: you hav

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice: Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog) Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog) The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog)) AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands‑on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes. You spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on‑site with customers, building the relationships and trust that happen in person, not just over a call. As a Field Engineer in the Enterprise track you will work with large organizations and digital‑native companies adopting GenAI across the business. These engagements span more stakeholders and longer cycles, so you will manage executive relationships and align teams while staying hands‑on in the code. The emphasis is on pairing strong technical delivery with the executive presence to earn trust across an org: discovery, solution design, POC execution, and the path to production at enterprise scale. Build end‑to‑end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints. For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck. Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads. Guide customers on model selection, fine‑tuning strategy (SFT, DPO, RFT), and evaluation methodology. Build and run fine‑tuning pipelines directly with customers, navigating trade‑offs between model families, compute cost, and quality targets. Design and implement evaluation frameworks that measure production‑quality metrics, not just benchmark scores. Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge. Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions. Own the technical relationship from first engagement through production deployment. Earn trust with ML engineers and VPs in the same meeting. Spend time on‑site with customers. Build trust and momentum in person, embedding with their teams where the work happens. Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features. Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself. Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency. 5+ years in a hands‑on, customer‑facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder. Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment. Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering. Working knowledge of the LLM stack: inference trade‑offs, model serving, fine‑tuning workflows (SFT at minimum; DPO/RFT a strong plus). Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure. Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon. 10+ years in technical field or engineering roles. Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads. Experience operating as a technical authority inside a customer's environment building within their infrastructure, navigating their constraints, and shipping code that runs in their production systems. Track record taking GenAI POCs from prototype to production‑scale deployments. Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex). Experience building or integrating agentic systems, tool‑use chains, or AI‑native developer toolchains. Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low‑latency inference to scalable model serving. Build What’s Next: Work with bleeding‑edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast‑growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world‑class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators. #J-18808-Ljbffr

London, UK 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. 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. Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences - focusing on raising the floor for those who need it most. We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases, where there is little or no commercial incentive to fund development. The role focuses on two areas where we think Claude can help these partners today. The first is clinical trials. Trials in these diseases have small patient populations, investigator-led or nonprofit funding and little operational support, and they often stall on protocol quality, operational risk and site start-up. Claude can help teams design better trials and start them sooner. The second is drug repurposing: finding new uses for approved, usually off-patent or generic medicines, whose known safety profiles can let a good hypothesis reach patients years sooner than a new molecule. You’ll advise and embed in partners’ teams, building alongside their engineers, scientists and clinicians. • Work with partners’ trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks., • Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step., • Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research., • Hands‑on experience designing, running or analysing clinical trials, or finding new uses for existing medicines. Deep experience in one; both are a bonus. Having contributed to a regulatory submission for a trial is a plus., • Comfort with biomedical data: literature, omics, and real‑world patient data (health records, registries, claims), ideally inside secure or trusted research environments., • Strong engineering skills: you can take an LLM‑powered tool from prototype to production code, and write evals to measure it., • Experience working directly with external partners or customers in a technical role., • Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust., • A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner. 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. 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. 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.comemail 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. 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. 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. #J-18808-Ljbffr

We’re Heidi. We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. In just 18 months, our clinical AI products have absorbed the administrative chaos of 73 million patient visits. Today, we support over 2.5 million patient sessions a week across 190+ countries. Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s healthcare capacity and strengthen the human connection at its heart. We found product-market fit with a freemium medical scribe that clinicians love. Now, we’re expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again. If you don’t choose easy and you want to build something way bigger than yourself, then choose the challenge, choose Heidi. The Software Implementation Engineer is a hands-on technical delivery role at the centre of complex NHS deployments. At Heidi, the CSM owns the customer from day one: the relationship, the rollout plan, the path to renewal. The Implementation Engineer is the technical arm they lean on: the person who personally configures SSO with the customer's IT team, sets up and provisions tenants, delivers EHR integrations through to go-live, configures agents and custom builds, and gives every technical problem a fast diagnosis and the right owner — fixing what is configuration, and handing confirmed product defects to Support Engineering, who own and drive their resolution. You are the reason launches don't stall on technical topics. The remit is deliberately broad: anything to do with getting an account set up, configured and optimised is yours, from account configuration and MFA through to integration build and iteration, rather than being split across several specialist roles. Clinical training and adoption sit with Clinical Enablement, not here. Your ownership begins upon acceptance of the enterprise handover. It ends when the agreed technical scope has passed its acceptance criteria, customer sign-off has been recorded, the final configuration has been documented and the implementation has transferred into hypercare or BAU support. You are technically credible in front of a CIO, precise in what you hand to engineers, and relentless about closing the loop — and you translate what customers need technically into clear, prioritised asks for the Technical Program Manager (TPM), who owns the integration roadmap and prioritisation. Success in this role looks like: Hands-on delivery — you personally set up, configure and validate the technical footprint of an account: identity, provisioning, integrations, agents, data flows. Not coordinated — done. Technical ownership — every technical problem at your accounts gets a fast diagnosis and a clear owner. What is configuration or implementation, you fix; what is a product defect, Support Engineering owns and drives — you hand it over with the diagnosis attached and do not shadow the ticket. CSMs never have to diagnose or route technical problems themselves. Fast unblocking — technical blockers that would stall a launch for weeks get diagnosed, sequenced and resolved in days, because you understand the problem and know exactly who has to do what. Clean boundaries — you hand net-new build work to FDEs as precise, prioritised requirements they can act on without rework, and you route live product defects to Support Engineering with a proper diagnosis attached — you don’t hoard work that belongs elsewhere, and you don’t toss problems over walls. Trusted translation — customer IT and security teams treat you as a peer; the Technical Program Manager (TPM) gets integration gaps and technical priorities from you they can act on, and product hears a clear, prioritised signal. This is a delivery-accountable role, so your job is to make the technical side of every account work: identity live, tenants configured, integrations delivered, agents built, security questions answered, and technical problems solved before they become escalations. What you’ll do Technical Onboarding & Account Setup Own the technical setup of new enterprise accounts end to end: tenant and workspace configuration, user provisioning and seat structure, environment readiness. Configure SSO with the customer’s IT team — SAML / OIDC against Okta, Microsoft Entra and NHS identity infrastructure — including MFA and conditional-access alignment. Drive network and device readiness: whitelisting, VDI and shared-device constraints, mobile device management, so clinicians can actually use Heidi on day one. Work directly with customer IT to clear whatever is blocking a swift deployment: deployment questionnaires, IT vetting, access requests, environment prerequisites. Integration Delivery Receive the validated integration design and signed SOW from presales. Confirm implementation prerequisites, elaborate the agreed design where necessary, configure the Heidi components, perform technical testing, support customer UAT and execute the technical go-live activities within the implementation plan you own. Translate the agreed SOW and technical design into precise, prioritised implementation requirements; hand net-new build to FDEs in a form they can act on without rework, own the account-side delivery around it, and surface integration gaps to the Technical Program Manager. Raise any requirement that is missing, materially different or genuinely out of scope through formal change control before work proceeds, rather than absorbing scope creep silently. Provide credible estimates, identify dependencies early and give the CSM evidence-based status and recovery options. You own the integrated technical plan, customer-facing delivery dates and dependency escalation. After go-live, keep working with the trust integration team to iterate and optimise the integration: anything that is not a product defect is yours to make work. Product-technical Configuration Set up agentic workflows, agents and custom builds to fit each account’s clinical and operational workflows, turning vague customer asks into scoped configurations with clear acceptance criteria. Translate what the customer bought into what has to be configured, and set it up: products, identity, integrations, agents, APIs, exports and data flows. As Heidi adds products (agents, agentic workflows, comms), their account-level setup lands here too. Handle technical template and coding setup where it crosses into system behaviour (clinical content stays with Clinical Enablement). Technical Escalation & Resolution During active implementation and hypercare, be the first technical port of call for CSMs: when something technical breaks or will not configure, you provide first-line diagnosis and make sure it lands with the right owner. Once an account has formally handed over to BAU, Support Engineering owns initial triage and ongoing incident management, and you are re-engaged only through agreed escalation criteria. Diagnose before you route: implementation-phase and account-specific configuration issues are yours to fix; confirmed product defects go to Support Engineering with your diagnosis attached — they own and drive resolution, and Support Engineering owns defect resolution. The Implementation Engineer remains informed where the defect affects implementation milestones, acceptance criteria or customer readiness, without duplicating Support’s investigation. Translate customer technical problems into clear priorities — routing integration gaps to the Technical Program Manager (who owns the roadmap) and confirmed defects to Support Engineering — the alignment that gets problems actually solved. Information Governance & Security Enablement Provide accurate technical input and evidence for DPIAs, security questionnaires and IT-assurance requests, routed through Compliance, who owns these processes. Security, Privacy and Clinical Safety retain approval authority for their respective positions. Keep them off the critical path without becoming the sign-off owner. Work within NHS governance gates — clinical safety sign-off, IG approval, change-control windows — planning technical work around them (clinical-safety substance is owned by Heidi’s Clinical Safety Officer). Handover acceptance and scope control Review the signed SOW, discovery notes, technical decision record, architecture, acceptance criteria, success measures and open risk log before technical implementation begins. Return the handover where a blocking material risk, unclear scope or unsupported commitment prevents a credible implementation plan. Deliver against the agreed scope without converting new customer requirements into configuration work. Classify emerging requests as in-scope configuration, defect, net-new engineering, roadmap request or commercial change. Escalate material scope changes through the CSM, SE and AE before committing work or dates. How we show up Build for the next decade, not next quarter. Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism. Lead, don't wait. We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that. Follow the evidence. Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can't afford. Own the outcome. Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander. Ship, measure, go again. A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless. Live in clinicians' reality. Not the ideal workflow, the twenty-patients-before-lunch actual one. We build for exhausted humans, and we'd better be decent ones while we do it. Why Heidi? You’ll join a team focused on real-world impact over imaginary valuations and glossy PR. We live and breathe the challenges of modern health systems, and are laser-focused on exacting the change we’d like to see. We’re medicos, engineers, builders, and designers who’ve felt the moral and practical toll of what non-care feels like. True A-players progress extremely fast here. The nature of the scale-up game is demanding, but we value sustainable performance and mental health. You're trusted to perform, and you set your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally. Building what we’re building isn’t always easy. But we didn’t choose easy, we chose to build something that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognise that the deeper question isn’t whether AI can solve the global healthcare crisis, but whose hands will shape it. The work is hard, but you will trust and admire the people you work beside, and rest easy knowing you’re doing the defining work of your career. Our Benefits Equity from day one. When Heidi wins, you win. You'll share directly in the success you help create. Your health, covered. Comprehensive private medical and dental cover through Bupa, plus 24/7 mental health, coaching and wellbeing support through Sonder and a £100/month Healthy Heidi’s stipend. Global parental leave. 26 weeks paid for primary carers and 18 weeks for secondary carers, subject to eligibility. Fertility support. £7,000 one-off payment, eligibility applies. Learning & development. £700 per year for courses, books, memberships, conferences and more. Home office budget of £500 one-off to set up a workspace you actually want to work in. Recharge days after major milestones and busy periods so you can reset and come back strong. Work from anywhere for up to 4 weeks per year, wherever the world takes you. Clinical leave. 10 days per year for eligible clinical roles to maintain accreditation and requirements. Flexibility that works. A hybrid environment, with 3 days in the office. Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants as we're committed to promoting a culture of opportunity for all. Find Jobs in United Kingdom on Arbeitnow #J-18808-Ljbffr

Sedna is at the forefront of revolutionising global trade, serving as the North Star for businesses navigating the complexities of international commerce. Our AI-powered platform is designed to make global trade more efficient, transparent, and sustainable. As we continue to grow and innovate, we are looking for exceptional talent to join our journey and contribute to our mission of transforming global trade. Sedna is at the forefront of revolutionising global trade, serving as the North Star for businesses navigating the complexities of international commerce. Our AI-powered platform is designed to make global trade more efficient, transparent, and sustainable. As we continue to grow and innovate, we are looking for exceptional talent to join our journey and contribute to our mission of transforming global trade. You can find out more about us on our website: Every Sedna product we sell is semi-custom. That is a strength commercially – and a bottleneck in delivery. Our Delivery Managers are excellent at taking a customer from signature to live, but the technical edge cases inherent in a semi-custom build – a tagging model that won't behave, an integration that won't connect, a configuration question with no standard answer – currently pull them off the critical path while they wait on other teams to help. This role removes that bottleneck. You are the technical engine inside the Delivery team – a hands‑on, broad-spectrum engineer whose job is to unblock our Delivery Managers on the pressing technical problems that today stall implementations. When a Delivery Manager hits a wall, you are the person who gets them through it: configuring, scripting, debugging integrations, untangling tagging logic, and answering the technical questions that would otherwise sit in a queue. You sit inside Delivery, you report to the Head of Delivery, and you are measured on the same outcomes as the rest of the team. That is deliberate: your incentives are aligned with speed to value. You win when the team ships launches faster, not when a ticket is closed somewhere else. The result is fewer external dependencies, fewer escalations, and implementations that stop stalling on technical unknowns. • A force multiplier for eight Delivery Managers – you make the whole team faster., • A generalist who gets hands on the build: config, tagging, auto-taggers, integrations, APIs., • The first line of technical resolution, so problems get solved in‑team., • An engineer with a delivery mindset and delivery incentives., • Not another Implementation Manager with an engineering title., • Not the owner of a personal portfolio of accounts., • Not a project manager – Delivery Managers keep owning the customer relationship and timeline., • Not a Product or Engineering function – you live and are measured inside Delivery., • Be the first technical resolver for the Delivery Managers. When an implementation hits a technical wall – a configuration edge case, a tagging model that won't behave, an integration that won't connect, an "is this a bug or a config?" question – you are who they come to, and you get them moving again., • Get hands on the build directly: workflows, mailboxes, key settings, category and job tags, auto-taggers, and the scripts or API calls needed to make a semi‑custom solution actually work in practice., • Hold the escalation boundary. Decide what can be solved inside Delivery versus what is genuinely a Product or Engineering issue – and when it is the latter, package it so it is specified, reproducible and immediately actionable, minimising the back‑and‑forth., • Turn recurring roadblocks into reusable assets – playbooks, templates, tooling, snippets – so the same problem never stops a Delivery Manager twice., • Level up the team's technical skillset. As Delivery verticalises, you help diversify the skills on the team so that more can be handled in-house over time., • Feed recurring patterns back to Product and Engineering so root causes are fixed at source rather than re‑solved on every account., • Support post‑signature solution design and configuration for new customers across Email and VMS – translating signed scope into a working build alongside the Delivery Manager who owns the account., • Review live customers where a workflow isn't delivering value – category tag overload, job tag pollution, sub‑voyage tagging, mis‑operated setups – and produce an implementable redesign the Delivery team can land., • Run configuration reviews covering key settings, mailbox configuration and auto‑tagger logic; diagnose and resolve tagging issues raised as customer priorities., • Act as the named technical contact for email, VMS, API and job‑reference integrations – gathering requirements, troubleshooting connections to third‑party chartering and voyage‑management systems, and writing specifications Engineering can build against., • Step in front of the customer when a Delivery Manager needs technical backup – credible with both IT and operational stakeholders, including in difficult conversations. You will report into Delivery and work day to day with Delivery Managers, Customer Success and Engineering, as well as directly with customer IT and operations teams. This role is customer‑facing early. The first three months are structured to move you from learning our platform to owning solution design outright. • Weeks 1–4: Get deep on the Sedna products – product architecture, the tagging model, auto‑taggers and the integrations relevant to each project.. Shadow live implementations and configuration reviews, and meet the Delivery, Customer Success and Engineering teams., • Weeks 4–8: Take ownership of your first configuration reviews and workflow redesigns for existing customers, supported by the Delivery Manager. Pick up named technical contact duties on one live integration., • Weeks 8–12: Own post‑signature solution design and configuration for new customers end to end, and lead discovery for new teams joining existing accounts., • By day 90: You have a documented, repeatable approach to solution design, configuration review and integration requirements gathering that the wider Delivery team can use - and measurably faster time‑to‑live on the accounts you own., • Time to live: Driving enhanced average implementation times down on accounts your role is involved goal to reduce time to live by 10% Measured from kickoff to go‑live., • Solution design turnaround: SDD drafted and customer‑approved within 10 working days of kickoff., • Launches supported: carries technical ownership on 8–10 concurrent launches without becoming the constraint., • First‑time‑right configuration: under 20% of launches require post‑go‑live reconfiguration of tagging or workflow. Baseline needs established in month one., • 5+ years in a technical, customer‑facing role, exposure to maritime, shipping, commodities or logistics - solutions engineering, technical implementation, integration or professional services in B2B SaaS or enterprise software., • Hands‑on configuration: A track record of configuring enterprise software for customers, not only specifying it. You are comfortable owning the build., • Integrations: Practical experience with APIs, data mapping and third‑party system integrations, and the ability to write requirements that customers or other third parties can act on., • Solution design: Able to run discovery with business users, understand how they actually work, and design for the underlying problem rather than the stated request., • Customer credibility: Confident in front of technical and operational stakeholders at large enterprises, including in difficult conversations., • Independent operator: Comfortable holding named accountability across multiple accounts with competing priorities - and clear on what to escalation., • Bias to repeatability: An instinct to turn one‑off solutions into templates, standards and documentation., • Advanced knowledge of MS Entra ID and MS Graph is a plus Finally, culture is important to us, so we also look for candidates who share our values: • We don’t just adapt‑we anticipate change and act with confidence., • Curiosity, data, and customer insights help us stay ahead of the curve., • We embrace challenges as opportunities and remain resilient under pressure., • By staying open to new ideas and ways of working, we lead the future., • We turn strategy into action, delivering measurable results that matter., • Every initiative counts‑discipline and ownership drive business impact., • We make smart decisions with speed, balancing pace and precision., • Clear priorities keep us focused on what moves the needle., • Collaboration is our superpower‑we succeed as one team, internally and with customers., • We co‑create solutions, seek feedback, and build the future of the OS together., • Strong relationships are built on trust, respect, and shared goals., • By aligning across teams and with customers, we unlock greater impact. #J-18808-Ljbffr

Engineering - Autonomy and Controls LIVE ROLE London, UK On-site, Full time SC-C22897FFC9C2B24D12E8 Join a team focused on developing advanced humanoid robots in industrial settings. This role involves designing, implementing, and validating low-level control systems and grasp behaviors for diverse end-effectors with complex actuation and transmission mechanisms. Collaborate closely with mechanical and hardware engineers to influence design decisions early in the development cycle. • Develop and tune actuator- and joint-level control loops (PID, feedforward, impedance/admittance, observers) for multi-DoF end-effectors in ROS2., • Create grasp-level behaviors including compliant closing, slip detection, and adaptive grasping for underactuated grippers., • Implement safety and fault-handling mechanisms such as thermal protection, stall detection, and grip-loss management., • Model and identify dynamics of transmissions including geared, cable-driven, differential, coupled, and underactuated mechanisms., • Collaborate in transmission design to optimize actuation routing, reduction ratios, and DoF coupling., • Integrate and calibrate sensing systems like force/torque, tactile, encoders, and vacuum feedback in real-time., • Perform hands-on testing, debugging, and calibration of new end-effector hardware and components., • Experience shipping real-time-safe object-oriented C++ control software for physical hardware., • Skilled in tuning and validating control systems on physical actuators including sensor calibration., • Proven work with mechanical transmissions featuring gearing, cables, differentials, coupled and underactuated linkages., • Background with end-effectors or equivalent multi-DoF mechanisms involving grasp control and sensing., • Knowledge of debugging at fieldbus and OS levels, e.g., EtherCAT or CAN on RTOS or real-time Linux., • Strong foundation in control theory applied to multi-DoF mechanisms using Jacobians, IK/FK, and URDF/Xacro., • Preferred experience with BLDC motor control and ROS2 control internals., • Familiarity with tendon/cable-driven systems, tactile sensing integration, and system identification tools. Confirm any vetting requirements with your consultant. An absent badge does not mean vetting is unnecessary. London, UK, On-site, Full time. Confirm employment terms and any clearance requirements with your consultant. C++ Control Systems Robotics ROS2 Embedded Systems Mechanism Design Real-time Software Sensor Integration #J-18808-Ljbffr

Omnea is the agentic operating system for procurement. Procurement touches every pound a business spends, yet requests still stall for weeks and approvals get lost in inboxes. Our AI-first platform changes that: our agents capture requests, route approvals, onboard suppliers, flag risk and track every renewal, while anyone in the business can ask a question and get an answer grounded in their own company’s data. Buying becomes painless for everyone, procurement gets a seat at the table, and our customers have saved more than 100,000 hours of manual work so far. Companies like Spotify, PayPal, T. Rowe Price, JustEat, Adyen and S&P Global run procurement on Omnea. We're backed by $75M from Khosla Ventures, Insight Partners and Accel, and we've been named the UK's number one startup in the Startups 100, ranked 11th on Sifted's 2026 list of Europe's fastest-growing companies, and recognised as one of Fast Company's Most Innovative Companies. Talent density matters more to us than almost anything else. We keep the bar high in every team, so everyone here has real ownership and real impact. Our team is full of former founders and operators who've scaled unicorns, and we're looking for people who want to do the best work of their careers alongside them. Find out more about the team and life at Omnea here. Omnea deploys multiple times a day, serves enterprise customers who expect rock-solid reliability, and is scaling 10x. Our platform team owns the infrastructure, tooling, and developer experience that underpins all of this. We're adding a hands-on Platform Engineer to the team to improve our CI/CD, scale our serverless infrastructure, strengthen observability, and make every product engineer more effective. We're hiring at both Level 3 (Senior) and Level 4 (Staff). For calibration, candidates typically bring 5+ years of platform engineering experience in high-growth, cloud-native SaaS environments, but we care more about impact than years. You'll join an experienced platform team and contribute across the full stack, from infrastructure-as-code and deployment pipelines to developer tooling and occasionally product features. • Scale our infrastructure. Design and evolve our AWS serverless architecture (including Lambda, DynamoDB, Aurora, EventBridge) for 10x growth, multi-region HA, and data residency requirements., • Own CI/CD and deployment. Build and improve our deployment pipelines (GitHub Actions), infrastructure-as-code (Pulumi), and release tooling so product teams can ship faster and safer., • Own observability. Build out monitoring, alerting, and debugging across the stack using Datadog. When something breaks, we should know before our customers do., • Improve developer experience. Build internal tooling, automate toil, and remove friction so engineers spend more time shipping product and less time fighting infrastructure., • Code and build. Contribute production-ready TypeScript across infrastructure and product features; raise the bar through solid patterns, libraries, and reviews., • A strong team. You'll join a platform team of senior and staff engineers who set a high bar and will push you to do your best work., • Modern, cloud-native stack. Everything serverless and IaC-driven (AWS, Pulumi, TypeScript end-to-end)., • Continuous delivery. We deploy multiple times a day. Your work determines how fast and safely the whole engineering org ships., • Scalability challenges. As we 10x revenue, you'll evolve infrastructure for multi-region HA, data residency, and performance at scale., • Customer impact. The reliability and speed you build is what lets us win and keep enterprise accounts., • Massive ownership. You own problems end-to-end, from brainstorming through to production., • Collaboration & autonomy. Plenty of heads-down technical work, but also close partnership with product engineers and engineering leadership., • Platform engineer & builder. You design reliable infrastructure and write clean production code (TypeScript or similar). You've built and maintained CI/CD pipelines, IaC, and developer tooling at scale., • Cloud-native. Deep knowledge of AWS (Lambda, DynamoDB, EventBridge, IAM, networking) or equivalent cloud-native experience. You understand serverless and its trade-offs., • Developer-first. You think about engineers as your customers. You automate toil, improve feedback loops, and care deeply about making other people productive., • Commercially minded. You understand that infrastructure exists to serve the product and the business. You make trade-offs with that in mind., • Bias for action. You iterate quickly, ship pragmatically, and automate everything., • Culture carrier. You coach teammates, share knowledge freely, and keep calm when things break., • Experience with Pulumi or similar IaC frameworks., • Experience building internal developer platforms or tools adopted org-wide., • Open-source contributions to infrastructure or developer tooling projects. You can learn more about Engineering at Omnea and our hiring process via our R&D Candidate Hub here. At Omnea, we embrace diversity. To build a product that's loved by everyone, we're best served by a team with all sorts of backgrounds, experiences, and perspectives. We encourage you to apply even if your experience doesn't quite match the full job spec! And regardless of your race, religion, colour, gender, or anything else! If you think you could be a good fit for Omnea, please reach out. #J-18808-Ljbffr

We're building the last piece of the puzzle to help companies unlock AI code generation - the part that makes it actually safe to ship. AI is enabling engineers to write code faster than ever before. But software review and testing hasn't caught up. Engineering leaders are drowning in long review cycles and more bugs than ever. The bottleneck isn't writing code anymore - it's everything that comes after it. We spent 3 years building the foundational technology to crack this - hard to replicate, and several years ahead of anything else on the market. Since then, we've grown 5x year-on-year and now work with some of the most AI-driven engineering teams in the world: Notion, ElevenLabs, Dropbox, Discord, LaunchDarkly, Wiz, CoreWeave, Wealthsimple, and more. Companies like Dropbox, Wiz, and Notion often pay more for Meticulous than any other software product in their stack, and spontaneously refer us to others. We're backed by the same investors behind Twilio, Twitch, Intercom, and PagerDuty. Individual investors include the founders of Vercel, Datadog, Segment, and Dropbox, the CTO of GitHub, the CPO of Adobe, the head of Engineering at Cursor, and many more. Our mission is to radically accelerate the pace of software development by empowering every engineer to ship at the speed their agents write code. This is an opportunity to join a company in hypergrowth as we scale from millions of annual recurring revenue to $100M ARR. If this excites you, come help us build it! As one of the first Forward Deployed Engineers at Meticulous, you'll work shoulder-to-shoulder with our core engineering team at our London headquarters and help define how this function operates from the ground up. The FDE team is still small and the playbook is still being written - you'll be instrumental in shaping the processes, tooling, and best practices that the function runs on as it scales. You'll work directly with engineering leaders at the world's most AI-driven companies, understanding their unique architectures and crafting solutions that work for their specific needs. This role demands an unusual combination of deep technical expertise and entrepreneurial drive, you'll be writing high-performance code one day and presenting architectural decisions to VPs of Engineering the next. This role spans both customer work and engineering. You own each customer end-to-end - and do what’s needed to make sure Meticulous is transformational for them. This involves everything from changes to core product to owning the customer relationship: Architect and deploy at scale: Work with a customer to understand their full architecture, design implementation strategies that fit their systems, and pair with their engineers to deliver them. Evolve the core product to make the customer successful: This can range from debugging and fixing issues that are blocking the rollout (which often go deep into the core technology, such as the deterministic browser), to shipping features that will be transformative for the customer you’re focused on, but also move the product forward itself e.g. rework parts of Meticulous to work at a new level of scale required by the customer. Own the technical relationship and lead the pilot: Be the technical lead to engineering leadership (VPs Eng, Staff+ engineers) at each customer - driving scoping, integration, and rollout. A founder or account executive handles pricing and contracts; the two of you operate as a pod per account. Guide the direction of the product based on what you learn in the field: As you see how the product performs, and how engineers workflows are rapidly evolving, work out what do we need to build to unlock the next level of automating software development? Where there are improvements which make sense to own and ship, ship them; where the work is larger and needs deeper scoping pair with core engineering team to make them happen. Build the playbook: The FDE function is still being defined. You'll be instrumental in establishing the processes, tooling, and best practices that make each deployment smoother and faster than the last, creating the leverage that lets the team scale. Exceptional engineering skills: Typically 3+ years in a demanding technical role, but we'll consider exceptional candidates with 1+ years of experience. Highly agentic: you have a bias to action, move fast, take ownership without being asked, and get genuinely frustrated when things stall - this role demands entrepreneurial self-drive Strong communication skills: You can explain complex technical concepts to both engineers and executives, and you're energized by customer collaboration Willingness to travel: Approximately 25% travel to customer sites. The majority of our enterprise customers are US-based You want a pure IC engineering role with no customer contact You need structured handoffs, clear specs, and a defined process to follow You expect regular hours and no travel - our team, customers and investors span SF, London, and NYC. The role requires comfort working across time zones You want engineering work that's insulated from customers and their problems Senior IC at a top tech company ready to leave the bureaucracy behind and own real customer outcomes end-to-end Ex-founder or technical founding engineer who wants to keep the founder-energy but plug into a company with product-market fit and a clear path to scale Forward Deployed Engineer at OpenAI, Scale, or Anthropic looking for an earlier‑stage version of the same work Solutions architect or staff engineer who wants more deep engineering and less PowerPoint As one of the first FDEs at Meticulous, you'll be instrumental in defining how this team operates, from processes and tooling to how it scales. Clear path into leadership as the function grows. You grow through a combination of the people you work with, and the experiences you’re exposed to. Within that context: Our philosophy is that density of talent is what matters; and so we’ve focused on keeping the team small but with exceptional individuals. You’ll get to collaborate with world‑class engineers who previously led 100+ person organizations at top companies, and we expect you’ll find the team is beyond any you’ve worked in before, within big tech (Google, Meta, etc.) or otherwise. This, combined with a focus on learning and growing together, means we’re able to learn from each other at rapid pace. Beyond growing your skills through engineering and collaboration, the role involves spending a lot of time with engineering leaders at the fastest growing tech companies and leading firms in the world. We’ve found this gives us a unique exposure to a huge range of technologies, practices, techniques, codebases, architectures, cultures, learnings - what works, what doesn’t. It’s a valuable bird eye view of collective learnings and experiences. These learnings normally take years or decades to build up as you move between companies. There are few startups that grow as fast as we do. You’ll be joining a small team on an exceptional trajectory. Through this comes unique growth, but also unique network. Our investor network is one of the most active in tech - we'll use it to connect you with whoever helps you do your job better. You’ll work with engineering leaders across many leading tech companies, often at the highest levels. Given the speed of growth, and desirability of the product amongst the leading enterprises, Meticulous provides the opportunity to build a network of connections across the full span of the technology world. Work on challenges at the intersection of browser technology, testing infrastructure, and large‑scale system design that few engineers ever encounter - to help build something that changes the way software is developed. Base salary £150K-£300K plus significant equity, exceeding compensation at top technology companies and startups. Unlimited food & drinks in office - including daily lunch as a team, and your own Amazon business account to buy whatever snacks you want for the office. A setup you’ll love - everyone has a standing desk, brand new Macbook, your choice of ergonomic peripherals, and a £2k WFH budget to make home just as good Team offsites - we work and play hard, we’ve done offsites in Italy, Abu Dhabi and local 5‑star resorts Unlimited book budget - we have a growing in‑office library and actively encourage everyone to add to it, whether you want to ramp up your knowledge of software testing, or become a better startup operator! many more! We believe autonomous testing will enable the automation of the majority of software development. You'll be at the forefront of this transformation, working with the companies that will be first to realize this future. This role is on‑site because we've found that the speed of iteration and depth of collaboration required for both customer success and technical excellence happens best in person. #J-18808-Ljbffr

You would be among the first engineers here, which means you get to own a surface end to end, from the ontology underneath it all the way to what a customer sees. The ontology is the layer underneath everything we ship. Calls, email, documents and CRM fields resolve onto one typed record per deal today, and that list will grow. This layer should reach wherever a company keeps a model of its own business: a warehouse, a ticketing system, a billing platform, a product analytics tool. Every agent, flow and screen reads from it. What is live today, and where the next few years of work sit: • Extraction that turns a conversation into commitments, objections, stakeholders and competitors, each carrying the passage it came from, • A flow engine that runs typed graphs of blocks when a call finishes processing, or on a schedule, • An agent that answers questions about a pipeline and shows the queries it ran to get there, • A notetaker that joins on Zoom, Google Meet and Microsoft Teams and resolves every call onto the deal it belongs to, • Several years building software that other people depend on, in whatever stack you learned it in, • Fluent in Python or TypeScript. We use both, and we care more that you can pick up the other one than that you already have, • At home in a relational database, and able to say why one schema is better than another, • You have looked after something in production, and stayed for the deploy, the incident and whatever came next, • You would rather ask a customer than guess Useful, and not required: LLM-backed systems, event-driven or asynchronous processing, or any exposure to CRM and go-to-market data. You do not need to have worked in sales software. You do need to find it interesting that a deal can stall for a reason nobody wrote down. Equity in the company, so what you help build here is partly yours. A surface of the product to own, rather than a queue of tickets to work through. And on a team this size, when you find something wrong you can fix it that week, without asking anyone. #J-18808-Ljbffr

Basware is building its AI capability deliberately — not as a procurement exercise, but as a structural shift in how the business operates. This role leads that build. The AI Lead heads our AI & Automation Centre of Excellence, the organisation’s centre of gravity for AI adoption. It’s a role with a mandate to make AI real in how Basware works: the right tools in people’s hands, an organisation that knows how to use them well, and the guardrails, processes, and governance that let adoption scale safely. You’ll set the patterns, run the experiments, and drive the enablement that turn AI from interest into everyday practice across every function — and you’ll lead the team that delivers it. This role is about the enterprise’s own adoption of AI and automation: deploying and supporting tools like Claude and Copilot, running fast proofs of concept, setting best practice, and helping every function get more out of these tools than they could alone. This is hands on leadership role with mandate to deliver. We’re looking for someone who has passion for AI adoption and driving change in a complex enterprise, made the hard tooling and prioritisation calls, and got real usage rather than pilots that stall. • Tooling & deployment. Own the enterprise AI and automation toolset — Claude, Copilot, etc. and the platforms around them. Decide what we roll out, to whom, and how we support it. Manage licensing, access, and the integration into how people already work., • Experimentation & PoCs. Run a fast, disciplined pipeline of proofs of concept. Test where AI genuinely helps, kill what doesn’t, and turn what works into repeatable patterns the rest of the organisation can adopt., • Best practice & enablement. Build the playbooks, prompt patterns, and training that make people effective with the tools. Run the federated AI champion model — train the people who train their teams — and translate capability into adoption., • Process, automation & orchestration. Identify where AI and automation can reshape how work flows across functions. Design and stand up the orchestration that connects tools, data, and people into something more than the sum of its parts., • Governance & compliance. Define and operate AI usage policy, risk tiering, tool approval, and regulatory compliance (GDPR, EU AI Act). You’re the person Security and Legal call when there’s a question about how AI is being used. Partner across every function — and with Product & Technology — to align on tooling, share what works, and avoid duplicated effort. Build and lead the CoE team, set the roadmap, and maintain the executive view of AI maturity, value, and risk for the CIO and AI steering group. • A background in technology or data — software development, data engineering, solution architecture, or similar — deep enough that you reason about systems from first principles, not just at the surface, • Driven AI and automation adoption across a complex enterprise — got real, sustained usage, not just successful pilots, • Hands-on with enterprise AI tools (Claude, Microsoft Copilot, Ai foundry or equivalent) you know what good use looks like, can build a working PoC yourself, and can coach others to it, • Working fluency with cloud platforms (Azure, AWS, or GCP) and how AI tools are deployed, integrated, and secured within them — identity and access (SSO, SCIM), APIs, and data flows, • Solid grasp of information security and data privacy as they apply to AI — data residency, classification, what leaves the tenancy and what doesn’t, and how to assess a tool against GDPR and the EU AI Act, • Strong instinct for where AI and automation add value and where they don’t — able to run fast PoCs, read the results honestly, and make the call, • Built enablement at scale — training, best practice, champion networks, change management — and changed how people actually work, • Strong cross-functional operator — builds trust across business teams, IT, and Security, and partners well with adjacent technical functions, • Proven people and team leadership; able to build a function and develop the people in it, • Executive-grade communication., • Built a Centre of Excellence or enablement function from scratch, • Deep experience with Microsoft 365 Copilot, Power Platform, other automation and orchestration platform rollout and adoption, • Familiarity with workflow automation and orchestration tooling, • Familiarity with finance, Sales, marketing and other central business processes, • Understanding of FinOps principles applied to AI and tooling spend #J-18808-Ljbffr

We live in a world that runs on physical industries like energy, logistics, manufacturing. These sectors are essential to our economy and daily lives, yet they are held back by inefficiencies, fragile legacy systems, and decades-old ways of working. This is not just a business problem; it is a societal one. When grids fail, supply chains stall, or factories falter, entire economies are disrupted. These companies face unique, complex challenges that typical software was never designed to solve. Cogna was founded to change this. Our mission is to give critical industries their own AI-powered Software Factory: a way to build and deploy bespoke digital tools that solve pressing operational challenges. Since our launch in May 2023, we’ve seen incredible customer traction and revenue growth. We’re backed by leading VCs, including Notion Capital and Hoxton Ventures, and we’re building a world-class team to take on one of the most important challenges of our time. Tackling challenges at this scale takes people who are curious, adaptable, and motivated by impact. If our mission resonates with you, we encourage you to apply, even if your experience doesn’t match every requirement. We are committed to building a diverse team that reflects the industries and societies we serve. Overview As a Solutions Strategist, you will play a critical role in both the discovery and delivery of our precision software that addresses important customer problems. This position requires a unique blend of analytical prowess, technical expertise, and client-facing diplomacy. You will be instrumental in identifying key opportunities, using our platform to then Discover, Define and Deliver precision solutions and ensuring those solutions are used by our customers to deliver on their objectives. What you’ll do • Client Engagement: Work directly with customers to understand their challenges and objectives. Lead discovery sessions to map out crucial processes and identify areas that Cogna can address., • Solution Definition: Use the Cogna platform to work with the customer in Defining suitable solutions that our platform can Deliver., • Training and Support: Provide comprehensive training to customers on the solutions we Deliver, ensuring they are equipped to maximize the benefits of the new systems. Offer ongoing support and advice post-deployment., • Continuous Improvement: Gather feedback and analyze data post-deployment to refine solutions and drive continuous improvement in future iterations., • Industry Expertise: Maintain an up-to-date understanding of trends and innovations in utilities, energy, manufacturing, and construction sectors to inform strategic decisions and technological advancements. What we’re looking for • Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field., • Proven experience in software development, systems engineering, or in a deployment strategy role., • Strong analytical skills and the ability to solve complex problems under pressure., • Excellent interpersonal and communication skills, with the ability to manage stakeholder expectations across diverse groups., • Experience using Python and manipulating data., • Ability to articulate complex concepts in a clear and compelling manner., • Experience with project management tools and methodologies., • Ability to thrive in a fast-paced, dynamic environment, manage multiple projects simultaneously and deal with ambiguity., • Experience in the utilities, energy, manufacturing, or construction industries is a bonus., • Willingness to travel as needed to meet with clients and oversee deployments. What we offer • Competitive salary and share option plan, • 25 days annual leave, plus public holidays, • Excellent pension scheme, fixed to 7.5%, • Private healthcare, including family cover and pre-existing conditions, • Flexible hybrid working with 2 days per fortnight in our Farringdon office, • Regular social events and offsites, • Access to a gym and fitness classes in our office building #J-18808-Ljbffr

Sedna is at the forefront of revolutionising global trade, serving as the North Star for businesses navigating the complexities of international commerce. Our AI-powered platform is designed to make global trade more efficient, transparent, and sustainable. As we continue to grow and innovate, we are looking for exceptional talent to join our journey and contribute to our mission of transforming global trade. Every Sedna product we sell is semi-custom. That is a strength commercially – and a bottleneck in delivery. Our Delivery Managers are excellent at taking a customer from signature to live, but the technical edge cases inherent in a semi-custom build – a tagging model that won't behave, an integration that won't connect, a configuration question with no standard answer – currently pull them off the critical path while they wait on other teams to help. This role removes that bottleneck. You are the technical engine inside the Delivery team – a hands-on, broad-spectrum engineer whose job is to unblock our Delivery Managers on the pressing technical problems that today stall implementations. When a Delivery Manager hits a wall, you are the person who gets them through it: configuring, scripting, debugging integrations, untangling tagging logic, and answering the technical questions that would otherwise sit in a queue. You sit inside Delivery, you report to the Head of Delivery, and you are measured on the same outcomes as the rest of the team. That is deliberate: your incentives are aligned with speed to value. You win when the team ships launches faster, not when a ticket is closed somewhere else. The result is fewer external dependencies, fewer escalations, and implementations that stop stalling on technical unknowns. • A force multiplier for eight Delivery Managers – you make the whole team faster., • A generalist who gets hands on the build: config, tagging, auto-taggers, integrations, APIs., • The first line of technical resolution, so problems get solved in-team., • An engineer with a delivery mindset and delivery incentives., • Not another Implementation Manager with an engineering title., • Not the owner of a personal portfolio of accounts., • Not a project manager – Delivery Managers keep owning the customer relationship and timeline., • Not a Product or Engineering function – you live and are measured inside Delivery., • Be the first technical resolver for the Delivery Managers. When an implementation hits a technical wall – a configuration edge case, a tagging model that won't behave, an integration that won't connect, an “is this a bug or a config?” question – you are who they come to, and you get them moving again., • Get hands on the build directly: workflows, mailboxes, key settings, category and job tags, auto-taggers, and the scripts or API calls needed to make a semi-custom solution actually work in practice., • Hold the escalation boundary. Decide what can be solved inside Delivery versus what is genuinely a Product or Engineering issue – and when it is the latter, package it so it is specified, reproducible and immediately actionable, minimising the back-and-forth., • Turn recurring roadblocks into reusable assets – playbooks, templates, tooling, snippets – so the same problem never stops a Delivery Manager twice., • Level up the team's technical skillset. As Delivery verticalises, you help diversify the skills on the team so that more can be handled in-house over time., • Feed recurring patterns back to Product and Engineering so root causes are fixed at source rather than re-solved on every account., • Support post-signature solution design and configuration for new customers across Email and VMS – translating signed scope into a working build alongside the Delivery Manager who owns the account., • Review live customers where a workflow isn't delivering value – category tag overload, job tag pollution, sub-voyage tagging, mis-operated setups – and produce an implementable redesign the Delivery team can land., • Run configuration reviews covering key settings, mailbox configuration and auto-tagger logic; diagnose and resolve tagging issues raised as customer priorities., • Act as the named technical contact for email, VMS, API and job-reference integrations – gathering requirements, troubleshooting connections to third‑party chartering and voyage‑management systems, and writing specifications Engineering can build against., • Step in front of the customer when a Delivery Manager needs technical backup – credible with both IT and operational stakeholders, including in difficult conversations. You will report into Delivery and work day to day with Delivery Managers, Customer Success and Engineering, as well as directly with customer IT and operations teams. This role is customer-facing early. The first three months are structured to move you from learning our platform to owning solution design outright. • Weeks 1–4: Get deep on the Sedna products - product architecture, the tagging model, auto-taggers and the integrations relevant to each project.. Shadow live implementations and configuration reviews, and meet the Delivery, Customer Success and Engineering teams., • Weeks4–8: Take ownership of your first configuration reviews and workflow redesigns for existing customers, supported by the Delivery Manager. Pick up named technical contact duties on one live integration., • Weeks 8–12: Own post-signature solution design and configuration for new customers end to end, and lead discovery for new teams joining existing accounts., • By day 90: You have a documented, repeatable approach to solution design, configuration review and integration requirements gathering that the wider Delivery team can use - and measurably faster time-to-live on the accounts you own., • Time to live: Driving enhanced average implementation times down on accounts your role is involved goal to reduce time to live by 10% Measured from kickoff to go-live., • Solution design turnaround: SDD drafted and customer-approved within 10 working days of kickoff., • Launches supported: carries technical ownership on 8–10 concurrent launches without becoming the constraint., • First-time-right configuration: under 20% of launches require post-go-live reconfiguration of tagging or workflow. Baseline needs established in month one., • 5+ years in a technical, customer-facing role, exposure to maritime, shipping, commodities or logistics - solutions engineering, technical implementation, integration or professional services in B2B SaaS or enterprise software., • Hands-on configuration: A track record of configuring enterprise software for customers, not only specifying it. You are comfortable owning the build., • Integrations: Practical experience with APIs, data mapping and third‑party system integrations, and the ability to write requirements that customers or other third parties can act on., • Solution design: Able to run discovery with business users, understand how they actually work, and design for the underlying problem rather than the stated request., • Customer credibility: Confident in front of technical and operational stakeholders at large enterprises, including in difficult conversations., • Independent operator: Comfortable holding named accountability across multiple accounts with competing priorities - and clear on what to escape., • Bias to repeatability: An instinct to turn one-off solutions into templates, standards and documentation., • Advanced knowledge of MS Entra ID and MS Graph is a plus Finally, culture is important to us, so we also look for candidates who share our values: • We don’t just adapt-we anticipate change and act with confidence., • Curiosity, data, and customer insights help us stay ahead of the curve., • We embrace challenges as opportunities and remain resilient under pressure., • By staying open to new ideas and ways of working, we lead the future., • We turn strategy into action, delivering measurable results that matter., • Every initiative counts-discipline and ownership drive business impact., • We make smart decisions with speed, balancing pace and precision., • Clear priorities keep us focused on what moves the needle., • Collaboration is our superpower-we succeed as one team, internally and with customers., • We co-create solutions, seek feedback, and build the future of the OS together., • Strong relationships are built on trust, respect, and shared goals., • By aligning across teams and with customers, we unlock greater impact. This role is UK based. Please specify your citizenship, also add your visa type if applicable. * #J-18808-Ljbffr

Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers. Growth is a critical function at Allica, sitting at the intersection of marketing, product, sales, and data. Our team is responsible for driving sustainable and scalable customer acquisition, engagement, and retention—ensuring our banking solutions reach and resonate with the right SMEs at the right time. Growth is both a science and an art. We blend commercial strategy with deep customer understanding, leveraging data to uncover new opportunities while ensuring every touchpoint aligns with Allica’s mission to empower established SMEs with the banking they deserve. The Growth Manager will play a key role in driving effective and sustainable growth across Allica's BRA customer journey — from onboarding through account activation and into deeper, embedded product usage. This role focuses on understanding customer behaviour end-to-end, identifying where customers stall or disengage, and building the strategies and capabilities needed to move them forward. Using a data-driven approach, the Growth Manager will lead the design and delivery of initiatives that improve activation, engagement, and long-term customer value — often working with limited precedent and translating diagnosis into tools, frameworks, and ways of working that the wider business relies on. They will build alignment across marketing, product, sales, RM, and data teams, ensuring growth strategy is coherently applied across the customer journey. This role is ideal for someone with strong applied critical thinking, a track record of leading initiatives with real ambiguity, and the ability to build stakeholder alignment without formal authority over the teams they influence. Customer Behaviour & Cohort Analysis: Lead analysis of customer behaviour, lifecycle stages, and cohorts to identify key drivers of activation, engagement, and product usage, delving into complex problems to reach root-cause understanding rather than surface patterns. Data-Driven Insights & Strategic Recommendations: Own the growth and engagement metrics that matter most for the customer journey, translating insight into strategy that shapes how the team and wider business operate. Experimentation & Optimisation: Manage a robust experimentation pipeline, designing, prioritising, and overseeing tests across initiatives to ensure impactful, evidence-based decisions rather than one-off analysis. Stakeholder Collaboration & Alignment: Build alignment across departments; marketing, product, sales, RM, and data, managing differing stakeholder expectations to keep initiatives progressing. Framework & Capability Building: Take diagnosed problems through to operational reality, building the tools, scoring frameworks, and processes that other teams adopt and rely on. Leadership & Ownership: Manage multiple objectives concurrently, ensuring accountability for outcomes even where the path forward isn't well precedented. Communication: Design and deliver insightful, visually compelling presentations that influence decision-making and align stakeholders on growth strategy Experience working in hypothesis-led, problem-solving environments (e.g. high-growth start-ups, consulting or similar) is a plus. Strong problem-solving skills, with the ability to challenge assumptions and navigate complex, ambiguous problems using structured thinking. Proven experience conducting complex data and performance analysis, ideally using SQL to work with large datasets. Ability to translate customer and operational insights into clear, actionable changes across products, processes, or messaging. Comfortable working with technical systems and integrations (e.g. CRM, analytics tools, automation platforms) to improve efficiency and scale. High bar for quality while maintaining pace, particularly on work with limited precedent. Strong stakeholder management skills, able to influence and align teams with different priorities through clear, evidence-led recommendations. Bias towards ownership and execution — able to independently drive work forward, frame problems, and recommend solutions with limited direction At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers. Our employees are at the heart of everything we do, so our benefits are designed with you in mind: Full onboarding support and continued development opportunities Options for flexible working Regular social activities Pension contributions Discretionary bonus scheme Private health cover Life assurance Family friendly policies including enhanced Maternity & Paternity leave Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you! We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate. We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like. Find more English Speaking Jobs in United Kingdom on Arbeitnow #J-18808-Ljbffr

Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role This is a founding role for a brand-new advisory offering: and you'll be its face. When a firm rolls out Legora, the technology is only half the battle; the rest is people, habits and culture. We're launching a premium advisory engagement to own that half, and you'll help build it and deliver it in front of clients. You'll represent Legora externally to some of the most prestigious law firms in the world, standing up champion networks inside each firm, where their most influential users trade real use cases, ROI stories and deployment approaches. You'll design the education around them, including, learning tracks, webinars, adoption toolkits and role-based enablement. And you'll do the change management work that turning frontier legal AI into simple, repeatable habits, helping firms measure what's working, and clearing the roadblocks that stall adoption. What you'll do: • Be the external face of Legora's champion and adoption advisory work, • Help shape a brand-new offering from the ground up: its methodology, its deliverables, its commercial substance, and the playbooks that let it scale to more firms, • Build and run champion networks inside client firms, recruiting, onboarding and energising internal champions across practice groups, and connecting them into a wider Legora community, • Grow exclusive peer communities where firm leaders and change-makers share use cases, ROI stories and deployment playbooks, • Design scalable education e.g. learning tracks, webinars, adoption toolkits and role-based enablement guides, • Create content and stories that travel e.g. champion spotlights, use cases and campaigns that make adoption spread on its own, • Use real usage data to aim your effort: see who's thriving, who's stuck and who's at risk, and step in accordingly, • Bring what you learn on the ground back to product and delivery, and turn it into repeatable assets every future engagement inherits What you bring: • A track record building communities or champion/advocacy programs people love in community, customer education, customer success/advocacy, field enablement, advisory or similar, • Experience with AI products in professional-services / enterprise environments, or a client-facing advisory background, • The executive presence and credibility to be Legora's face in front of senior professionals (you needn't be a lawyer, but you can earn their trust), • The entrepreneurial instinct to build a new offering, • Genuine warmth and taste. You can read a room, tell a good story, and know what will land, • Fluency with the tools that make communities and learning run e.g. data analytics and community/learning platforms, • A bias to action and high ownership. You move things forward without being asked, • Comfort travelling to client sites and working in person Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law. #J-18808-Ljbffr

Location: Nine Elms, London. Full time- hybrid with at least 3 days a week on site. You'll need the right to work in the UK and be based in London. We are not able to offer visa sponsorship for this role. Zapp is building the future of convenience with a full stack approach to on-demand essential items, 24/7, delivered in minutes. Customer obsession is at the heart of everything we do, from app users to frontline staff to store workers. We are relentlessly focused on delighting our customers. We are backed by the world's leading investors, and our team has scale-up and exit experience at companies such as Amazon, Deliveroo, Tesco, Stuart, and Just Eat. If you're ready to help build the world's most customer-focused company, get in touch. • Creating Magic, • Taking Ownership, • Raising the Bar, • Winning Together, • Delivering with Speed We don't just build software. We build intelligent systems. From AI-assisted development workflows to LLM-powered product features, we expect every engineer to embrace and actively shape how AI changes what we ship and how we ship it. If you're the kind of engineer who gets excited by what's possible when agents, models, and great product sense meet, you'll feel at home here. Join Zapp and take full lifecycle ownership of the apps our customers use every day. We're building a world-class experience across iOS, Android, and web, and you'll help us get there. Quick commerce moves fast and lives in the real world. AI is changing how we build it. That's the part we love. We need engineers who are curious, energetic, and thrive at the front line of both. • Build a world-class customer experience across the stack. Ship across backend, web, and infrastructure, and into mobile when features cross over., • Bring AI into how we build. Use AI in your daily work. Share patterns that help the team move faster, and learn from what others discover., • Help shape AI in our product. AI features in our app are still early. Spot the customer moments where AI can create magic, prototype them, and bring them to life., • Own delivery end-to-end. Pick up a problem, design the solution, ship the work wherever the feature lives, and see it through to production., • Own on-call. Be on the rotation, and stand behind what you ship in production., • Keep production fast and trusted. Watch latency, harden release processes, and protect what customers rely on., • Raise the bar for the team. Contribute to architectural discussions and the patterns that shape our codebase. Lift the people around you., • Senior engineering experience. 5+ years building production software., • Full-stack range. Comfortable across backend, web, and infrastructure., • Strong fundamentals. Confident with TypeScript, GraphQL, and SQL. At home in NestJS (or a similar Node.js framework) and React., • Cloud and DevOps minded. Comfortable across GCP or a similar cloud, CI/CD, observability, and modern infrastructure tooling., • Use AI daily. AI assistants are part of how you build. You bring back patterns that help others get more out of them too., • Think product, not just code. You measure your work by what changed for the customer, not the lines of code shipped., • Production minded. Solid grasp of API design, observability, scaling, reliability, and security., • Care about craft. Clean APIs, attention to detail, and how the system feels to work in., • Comfortable in uncertainty. You move forward when the path isn't clear, instead of waiting for someone to define it., • Test as you build. Automated tests are how you ship code you trust., • Passionate about execution. Curiosity, energy, and a habit of moving things forward., • Excellent communicator. Clear in how you write and speak, and you love sharing what you learn., • NestJS. Our backend is a NestJS service, and you'd feel at home when features need backend work., • React Native. Our apps run on React Native and Expo. You'll touch them when features cross stack boundaries., • GraphQL Federation. We run a federated gateway across multiple subgraphs, and federation experience makes schema and subgraph work easier., • Distributed systems at scale. Event-driven patterns, async processing, real-time data flows., • Infrastructure as code. Terraform, Kubernetes, or similar., • Quick commerce or similar domain. Logistics, on-demand delivery, or another real-time, high-throughput customer-facing environment., • Need a fully defined process and a large, structured team to do your best work., • Chase technical perfection at the expense of what the customer actually needs., • Stall when the path forward isn't clear, or wait to be told what to do., • Want to stay strictly inside your specialty and avoid unfamiliar parts of the stack., • Stage 1 - Intro call (30 min). A short chat about your background and a chance for us to tell you more about Zapp, the team, and the role., • Stage 2 - Technical interview (90 min). Live coding with full access to any AI tooling you'd normally use, and we'll send you a boilerplate repository in advance so you can focus on the problem, not the setup., • Stage 3 - On-site interview (2 hours, in person). A visit to our office: one hour of system design, and one hour with senior leadership on how you work, what you care about, and how you align with our Leadership Principles., • Stage 4 - Offer. We verify your right to work in the UK and complete reference checks before the contract. • Equity package, depending on experience., • Zapp Credit for testing the Zapp service and experience, • 25 days of holiday per year, plus all bank holidays., • Private health insurance., • Enhanced sick pay and maternity or paternity leave. We hire on trajectory and curiosity as much CV. #J-18808-Ljbffr

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice: Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. (blog) Open source agents with frontier advisors: matching frontier performance through training and harness engineering. (blog) The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. (blog) The Role AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits at the intersection of engineering, product, and customer delivery. You are hands-on-keyboard building POCs, MVPs, and production integrations, while also holding your own in executive-level conversations about architecture, strategy, and business outcomes. You spend most of your time building. You ship code, run benchmarks, debug production issues, and architect deployments. But you also lead discovery conversations, align stakeholders, and translate customer pain points into product improvements that compress the feedback loop from field to roadmap. This is a role for engineers who are comfortable on-site with customers, building the relationships and trust that happen in person, not just over a call. The Segment As a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI across the business. These engagements span more stakeholders and longer cycles, so you will manage executive relationships and align teams while staying hands-on in the code. The emphasis is on pairing strong technical delivery with the executive presence to earn trust across an org: discovery, solution design, POC execution, and the path to production at enterprise scale. What You'll Work On Technical Delivery and Deployment Build end-to-end POCs and MVPs alongside customer engineering teams, working inside their codebases, infrastructure, and constraints. For customers whose core product is built on GenAI, architect the inference foundations that capability depends on, and size deployments so they can scale in their market without infrastructure becoming the bottleneck. Run load tests and establish latency, throughput, and cost baselines against realistic customer traffic profiles, and tune deployments to hit those targets Deploy and validate new model families on inference frameworks (vLLM, SGLang), determining optimal shapes, quantization configs, and serving patterns across workloads. Model Strategy and Fine-Tuning Guide customers on model selection, fine-tuning strategy (SFT, DPO, RFT), and evaluation methodology. Build and run fine-tuning pipelines directly with customers, navigating trade-offs between model families, compute cost, and quality targets. Design and implement evaluation frameworks that measure production-quality metrics, not just benchmark scores. Customer Engagement and Stakeholder Management Many of our customers exist because of GenAI. Help them bake frontier model capabilities into their core offering and turn that into a durable competitive edge. Lead structured discovery conversations to unpack customer pain points, constraints, and success criteria before proposing solutions. Own the technical relationship from first engagement through production deployment. Earn trust with ML engineers and VPs in the same meeting. Spend time on-site with customers. Build trust and momentum in person, embedding with their teams where the work happens. Product Feedback and Platform Improvement Identify recurring customer pain points and translate them into concrete product proposals, working directly with engineering and product to ship fixes and features. Codify repeatable deployment patterns and contribute them back to internal tooling, documentation, and the platform itself. Feed customer signals (deployment patterns, failure modes, feature gaps) back into the product roadmap with specificity and urgency. What We're Looking For Minimum Qualifications 5+ years in a hands-on, customer-facing technical role: Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder. Demonstrated ability to build production software with customers, not just advise on it. You have shipped code running in someone else's production environment. Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering. Working knowledge of the LLM stack: inference trade-offs, model serving, fine-tuning workflows (SFT at minimum; DPO/RFT a strong plus). Experience with cloud infrastructure (AWS, Azure, GCP) and deploying models on GPU infrastructure. Exceptional communication: able to run a sharp discovery call, present to a VP, and debug a latency issue with an ML engineer in the same afternoon. Preferred Qualifications 10+ years in technical field or engineering roles. Experience with inference serving frameworks (vLLM, SGLang, TensorRT-LLM) and tuning deployments for real workloads. Experience operating as a technical authority inside a customer's environment building within their infrastructure, navigating their constraints, and shipping code that runs in their production systems. Track record taking GenAI POCs from prototype to production-scale deployments. Experience with hyperscaler AI platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex). Experience building or integrating agentic systems, tool-use chains, or AI-native developer toolchains. Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world‑class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators. Find Jobs in United Kingdom on Arbeitnow #J-18808-Ljbffr

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations.The difference between an AI Engineer and what we are looking for is straightforward: you hav

The Enterprise Innovation Lab is a two-person special projects team inside the Enterprise line of business (LoB) AI & Automation programme. The remit: find high-value AI and automation opportunities across the Enterprise line of business, explore new tools and technology from outside the organisation's existing technology stack to apply to use cases, build working prototypes at pace, validate them quickly, and hand solutions to the delivery workstreams to productionise. The Specialist role will sit in an independent mini-team, the Innovation Lab, with the Specialist and the Manager running under the direction of the AI & Automation Director - fast, self-sufficient and built to make the wider programme go faster. You will manage the pipeline of pilots, contribute to pace and outcomes, and build alongside the Manager. The successful candidate will contribute to building stronger AI and automation capability over time, independently driving new solutions and technologies, and helping to ensure that AI investment converts into measurable enterprise value through clear outcomes, disciplined delivery, and early-stage building. • Manage a pipeline of prototypes – mandate to deliver and iterate at pace., • Frontier tooling - hands-on with the latest AI platforms, with responsibility to explore and test., • High autonomy - an independent two-person team, light-touch direction and outcome-focused., • Accelerate Enterprise is bringing functional AI and Automation to the Enterprise line of business - a strategic priority for the organisation., • This is an Enterprise LoB role sitting in the commercial business, not engineering. You will spend real time with Commercial and Operations teams and their partners (Credit, Compliance, Marketing, and more). Being able to explain what you built and why it matters commercially is part of the job., • The role is not strictly aligned to defined functions - free to find and test opportunities anywhere in the Enterprise LoB, ahead of formal delivery., • Tool and tech scouting is a core part of the remit - the Lab tests cutting-edge tools from outside the organisation's existing technology stack against real use cases and informs what the organisation adopts next., • Build and manage a pipeline of AI and automation opportunities sourced directly from Enterprise Commercial and Operations teams and partner functions., • Frame every pilot commercially before build starts: quantify the value (revenue, cost, risk, speed), define success criteria and clear stop conditions., • Pressure-test ideas with frontline teams before committing build effort., • Build hands-on alongside the Manager across the existing technology stack., • Run and manage structured pilot tests with real users in Commercial and Operations teams., • Set up measurement for every pilot: baseline, pilot result, delta. Results reported accurately and transparently back to leadership., • Iterate quickly on feedback and flag early when something is not working., • Manage relationships with Enterprise Commercial and Operations leads., • Bring partner functions in early - so pilots do not stall at governance gates later., • Manage the Lab's “tool and tech radar” - track the market for new AI and automation tools worth testing (automation platforms, agent frameworks, etc)., • Apply new tools from outside the organisation's existing technology stack to real use cases. Run and manage structured side-by-side evaluations against the incumbent stack: capability, cost, security posture, integration effort., • Share findings to the organisation - tools tested, findings, and recommendations., • Strong awareness and understanding of where AI tools and technologies can be applied to business challenges., • Demonstrated experience building AI-enabled solutions, prototypes, agents or automations., • Strong understanding of strengths, limitations and risks of LLM-based solutions., • Curious by default - picks up new AI tools quickly, and can apply to a commercial environment, • Fast and resourceful, ability to work in an ambiguous environment., • Independent and able to manage workload with light-touch direction, as one half of a self-sufficient mini-team., • Strong commercial acumen - can size an opportunity, build a simple benefits case and defend the numbers to senior stakeholders., • Comfortable working directly with Commercial and Operations teams - this is a business-facing role, not back-office engineering., • Able to gather requirements, demonstrate solutions and incorporate feedback rapidly., • Confident presenting findings and recommendations to senior stakeholders., • Consulting toolkit: structured problem solving, story telling and crisp executive communication., • Ability to translate ambiguous business challenges into practical AI and automation opportunities., • Strong analytical and structured problem-solving skills., • Comfortable operating with limited direction in a fast-moving environment., • Sound judgement when balancing value, risk, complexity and speed., • Experience assessing technology options against business outcomes, costs and implementation effort., • Transparent reporting - concludes underperforming pilots early with clear rationale. Benefits are always evidence-based., • Payments, fintech or financial services background., • Background in a consulting firm (strategy or digital) and/or a technology company - used to pace, ambiguity and a high bar on output., • Experience across the Salesforce ecosystem, AI agent frameworks, AI Coding Tools, Data Platforms and AWS ecosystem., • ML fundamentals - understands features in, predictions out; can support model-adjacent pilots such as churn., • Experience training or supporting non-technical users on new tools., • A pipeline of 5-10 qualified opportunities, sourced from Enterprise LoB teams and prioritised by value., • Oversaw the prototyping of 5 pilots; with at least 2 progressing to full delivery, each with a documented benefits case., • A pipeline of 5-10 technology and tool recommendations. #J-18808-Ljbffr

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting‑edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real‑world problems and ideating beside the best and the brightest, we invite you to join us! This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters. Job Summary • Participate directly in customer deployments to validate COE delivery methodologies, frameworks, and tools in real‑world environments., • Provide hands‑on support for complex or high‑risk engagements, acting as a technical escalation point., • Ensure delivery approaches are executable, efficient, and aligned with customer environments and constraints., • Define and refine delivery architecture patterns that ensure consistent execution across products, theaters, and delivery models., • Establish best practices for deployment sequencing, dependencies, and integration points across Cortex, Cloud, and Network Security platforms., • Ensure alignment between solution architecture and how those solutions are operationalized in the field., • Validate end‑to‑end lifecycle execution from initial deployment through optimization and expansion., • Identify where customers stall during deployment or post‑deployment phases and drive improvements to remove friction., • Ensure clean, repeatable handoffs between Professional Services and Scale & Optimize teams., • Provide structured, actionable feedback to Practice Architects (Technical Architecture and Platform Enablement) and Practice Leads., • Identify gaps in methodologies, tooling, or assumptions based on field execution., • Support pilots of new delivery models, frameworks, and tools, ensuring they are validated before global rollout., • Partner closely with Professional Services, S&O, Product/Engineering, and COE teams to ensure alignment between delivery expectations and execution reality., • Collaborate with Technical Architecture and Platform Enablement roles to ensure delivery models are technically sound and scalable., • Act as a bridge between global COE standards and regional execution needs., • Share execution insights and best practices across theaters to drive consistency., • Contribute to enablement content, including delivery playbooks, runbooks, and field guidance., • Mentor consultants and architects on delivery best practices and execution strategies. Owns: • Delivery architecture patterns and execution standards, • Field validation of COE methodologies, • Identification of execution risks and gaps, • Credibility and success of delivery pilots Influences: • Global methodology improvements, • Automation and platform enablement priorities, • Delivery lifecycle design and handoff models Qualifications • Technical Expertise: Strong experience in cybersecurity platforms (Cortex, Cloud, Network Security) and enterprise‑scale deployments., • Delivery Experience: Proven track record delivering complex, large‑scale implementations in customer environments., • Execution Focus: Deep understanding of how solutions are deployed, integrated, and operationalized in real‑world scenarios., • Problem Solving: Ability to identify execution gaps and drive practical, scalable solutions., • Communication Skills: Strong ability to communicate with both technical teams and leadership stakeholders., • Collaboration: Experience working cross‑functionally across Services, Product, and Customer Success organizations. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes #J-18808-Ljbffr

The Enterprise Innovation Lab is a two-person special projects team inside the Enterprise line of business (LoB) AI & Automation programme. The remit: find high-value AI and automation opportunities across the Enterprise line of business, explore new tools and technology from outside the organisation's existing technology stack to apply to use cases, build working prototypes at pace, validate them quickly, and hand solutions to the delivery workstreams to productionise. The Specialist role will sit in an independent mini-team, the Innovation Lab, with the Specialist and the Manager running under the direction of the AI & Automation Director - fast, self-sufficient and built to make the wider programme go faster. You will manage the pipeline of pilots, contribute to pace and outcomes, and build alongside the Manager. The successful candidate will contribute to building stronger AI and automation capability over time, independently driving new solutions and technologies, and helping to ensure that AI investment converts into measurable enterprise value through clear outcomes, disciplined delivery, and early-stage building. • Manage a pipeline of prototypes - mandate to deliver and iterate at pace., • Frontier tooling - hands-on with the latest AI platforms, with responsibility to explore and test., • High autonomy - an independent two-person team, light-touch direction and outcome-focused. Accelerate Enterprise is bringing functional AI and Automation to the Enterprise line of business - a strategic priority for the organisation. This is an Enterprise LoB role sitting in the commercial business, not engineering. You will spend Real Time with Commercial and Operations teams and their partners (Credit, Compliance, Marketing, and more). Being able to explain what you built and why it matters commercially is part of the job. The role is not strictly aligned to defined functions - free to find and test opportunities anywhere in the Enterprise LoB, ahead of formal delivery. Tool and tech scouting is a core part of the remit - the Lab tests cutting-edge tools from outside the organisation's existing technology stack against real use cases and informs what the organisation adopts next. • Build and manage a pipeline of AI and automation opportunities sourced directly from Enterprise Commercial and Operations teams and partner functions., • Frame every pilot commercially before build starts: quantify the value (revenue, cost, risk, speed), define success criteria and clear stop conditions., • Pressure-test ideas with frontline teams before committing build effort., • Build hands-on alongside the Manager across the existing technology stack., • Run and manage structured pilot tests with real users in Commercial and Operations teams., • Set up measurement for every pilot: baseline, pilot result, delta. Results reported accurately and transparently back to leadership., • Iterate quickly on feedback and flag early when something is not working., • Manage relationships with Enterprise Commercial and Operations leads., • Bring partner functions in early - so pilots do not stall at governance gates later., • Manage the Lab's "tool and tech radar" - track the market for new AI and automation tools worth testing (automation platforms, agent frameworks, etc)., • Apply new tools from outside the organisation's existing technology stack to real use cases. Run and manage structured side-by-side evaluations against the incumbent stack: capability, cost, security posture, integration effort., • Share findings to the organisation - tools tested, findings, and recommendations., • Strong awareness and understanding of where AI tools and technologies can be applied to business challenges., • Demonstrated experience building AI-enabled solutions, prototypes, agents or automations., • Strong understanding of strengths, limitations and risks of LLM-based solutions., • Curious by default - picks up new AI tools quickly, and can apply to a commercial environment, • Fast and resourceful, ability to work in an ambiguous environment., • Independent and able to manage workload with light-touch direction, as one half of a self-sufficient mini-team., • Strong commercial acumen - can size an opportunity, build a simple benefits case and defend the numbers to senior stakeholders., • Comfortable working directly with Commercial and Operations teams - this is a business-facing role, not Back Office engineering., • Able to gather requirements, demonstrate solutions and incorporate feedback rapidly., • Confident presenting findings and recommendations to senior stakeholders., • Consulting toolkit: structured problem solving, story telling and crisp executive communication., • Ability to translate ambiguous business challenges into practical AI and automation opportunities., • Strong analytical and structured problem-solving skills., • Comfortable operating with limited direction in a fast-moving environment., • Sound judgement when balancing value, risk, complexity and speed., • Experience assessing technology options against business outcomes, costs and implementation effort., • Transparent reporting - concludes underperforming pilots early with clear rationale. Benefits are always evidence-based., • Payments, fintech or financial services background., • Background in a consulting firm (strategy or digital) and/or a technology company - used to pace, ambiguity and a high bar on output., • Experience across the Salesforce ecosystem, AI agent frameworks, AI Coding Tools, Data Platforms and AWS ecosystem., • ML fundamentals - understands features in, predictions out; can support model-adjacent pilots such as churn., • Experience training or supporting non-technical users on new tools., • A pipeline of 5-10 qualified opportunities, sourced from Enterprise LoB teams and prioritised by value., • Oversaw the prototyping of 5 pilots; with at least 2 progressing to full delivery, each with a documented benefits case., • A pipeline of 5-10 technology and tool recommendations. #J-18808-Ljbffr

The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: Cultivated a community of more than 650,000 active developers and builders Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation We’re in a defining moment of an incredible journey. Come and build with us. About the role n8n is looking for an Enterprise Account Executive to own and grow a defined enterprise territory across Northern Europe (UK&I, Nordics & Benelux) building pipeline, landing net-new logos, and expanding strategic accounts. You’ll run a full-cycle, consultative enterprise motion (FTE 2,500+): uncovering technical and business needs, aligning multiple stakeholders, guiding evaluations, and closing high-impact six/seven-figure deals. This role is ideal for someone who can sell to technical buyers (developers are our ICP), thrives in fast-growing environments, and uses a structured methodology (e.g., MEDDIC/MEDDPICC) to drive predictable outcomes. • Own and exceed quarterly and annual revenue targets across a defined Northern Europe enterprise territory, • Build pipeline proactively (≥50%+ sourced by you) through outbound prospecting and smart territory/account planning, • Run deep discovery and qualification using MEDDIC/MEDDPICC—uncovering pain, impact, decision process, decision criteria, and confirming real evidence before you forecast, • Manage the full sales cycle end-to‑end: discovery, demos, technical validation/evaluation, proposals, procurement, and negotiations, • Translate technical value into business outcomes—aligning n8n’s automation + AI capabilities to measurable efficiency, risk reduction, and speed-to-delivery, • Orchestrate multi-threaded deals across stakeholders (champions, technical evaluators, security, procurement, and economic buyers) to keep momentum and reduce stall risk, • Create and drive mutual action plans with customers—clear next steps, milestones, and shared accountability from first meeting to signature, • Maintain rigorous pipeline hygiene, forecast accuracy, and account notes in CRM (Salesforce) communicating clearly and early about risks and next steps, • Partner tightly with Solutions Engineering, SDRs, Marketing, RevOps, and Customer Success to accelerate deals and ensure strong handoffs for expansion, • Represent n8n at events and in‑market—building credibility with technical communities and enterprise leaders across Northern Europe (with customer travel as needed), • Enterprise SaaS sales track record: 5+ years in quota‑carrying roles with consistent overachievement in enterprise segments, • Northern Europe market expertise: Existing network and proven success selling into Northern Europe enterprises (plus relevant languages), • Complex deal leadership: Proven ability to close multi‑stakeholder deals with longer cycles, procurement/legal steps, and high scrutiny, • Methodology‑driven execution (MEDDIC/MEDDPICC): You use structured qualification to build high‑confidence pipeline and accurate forecasts, • Executive + technical buyer fluency: You can engage C‑level stakeholders and also win credibility with technical audiences (DevOps, SecOps, IT Ops etc.), • Consultative selling: You lead with customer outcomes, ask sharp questions, and tailor your narrative to the customer’s reality—not a generic pitch, • Operational discipline: Strong CRM hygiene, forecast rigor, and a habit of using evidence to drive next steps and internal alignment, • Collaboration mindset: You work smoothly with SE/CS/Marketing/RevOps and elevate the whole deal team, not just your own activity, • Open‑source / community experience: You’ve sold in or alongside open‑source ecosystems and understand bottoms‑up adoption and PLG signals, • Selling technical workflow/automation products: Experience with integration, API‑first platforms, DevOps/SecOps/IT Ops, or adjacent categories, • Early‑stage / scale‑up experience: You’ve helped build pipeline and playbooks in a fast‑growing environment where process is evolving n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Competitive compensation – We offer fair and attractive pay. Ownership – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. Work/life balance – We work hard but ensure you have time to recharge: Europe: 30 days of vacation, plus public holidays wherever you are. US: 20 vacation days, 8 sick days, plus public holidays wherever you are. Health & wellness – Europe: We provide benefits according to local country norms.* US: Multiple low‑premium, low‑deductible medical plans with coverage for individuals and families—plus a no‑cost premium HDHP option with a pre‑seeded HSA—along with dental and vision coverage. Future planning – Europe: We provide pension contributions according to local country norms.* US: 401(k) retirement plan with a 4% employer match. Financial security – Europe: We provide benefits according to local country norms.* US: Company‑paid short‑term and long‑term disability insurance, plus life insurance to support you and your loved ones. Career growth – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. A passionate team – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! Remote‑first – Our team works remotely across Europe, with regular off‑sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. Giving back – We're big fans of open source, and you'll get $100 per month to support projects you care about. Transparency – We all know what everyone’s working on, how the company is doing—the whole shebang. • Country-specific details are provided in your contract. #J-18808-Ljbffr

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further. We are looking for a Senior Low-level Control Engineer to join our Control Team in London, focusing on control development and integration for our end-effectors. You will design, implement and validate actuator- and joint-level controllers and grasp-level behaviours across a family of end-effector variants - parallel and multi-finger grippers, vacuum and suction tooling, and purpose-built tooling for specific customer tasks. Each variant brings different actuation, different sensing and, critically, different transmission mechanisms: geared direct drives, cable- and tendon-driven routings, differential and coupled linkages, and underactuated designs where few actuators must produce adaptive, compliant grasping across many degrees of freedom. The ideal candidate has a solid background in control theory, strong software engineering skills in C++, and comfort working from real-time embedded control up through kinematics/dynamics and hardware debugging. You will work closely with mechanical and hardware engineers - early enough in the design cycle that your input shapes actuation and transmission choices rather than merely inheriting them. Low-Level Control Development: Tune and validate actuator- and joint-space control loops (PID, feedforward, impedance/admittance, observers, state feedback) for multi-DoF end-effectors in ROS2. Develop grasp-level behaviours: grasp force control, compliant closing, slip detection and correction, and adaptive grasping on underactuated grippers. Implement safety and fault-handling mechanisms — thermal and over-current protection, stall and jam detection, grip-loss detection, safe behaviour on fault. Transmission Mechanisms, Modeling & System Identification: Build and identify models of actuators, transmissions and mechanisms - geared, cable/tendon-driven, differential, coupled and underactuated - including compliance, friction, backlash, hysteresis, cable stretch and pretension effects. Own the joint-to-actuator abstraction for these mechanisms and the correct exposure of joint versus actuator state through the control stack. Contribute directly to transmission mechanism design: work with mechanical engineers on routing, reduction ratios, DoF coupling and underactuation strategy, bringing the controllability and observability consequences of each option into the conversation early. Sensor & Hardware Integration: Integrate and calibrate end-effector sensing (F/T, tactile, encoders, temperature/current, vacuum feedback) with real-time acquisition across the control stack. Hands-on bring-up and debugging of new end-effectors, including test-stand work and vendor-supplied units. Cross-Disciplinary Collaboration: Close the loop with mechanical/electronics engineers across sites on actuation, transmission and sensing requirements. Work with data collection, applications and deployment teams so end-effectors work reliably in real use. Shipped real-time-safe, object-oriented C++ control software running on real hardware. Tuned and validated controllers on physical actuators, including sensor calibration and bring-up. Modelled, identified and controlled through real mechanical transmissions - gearing, cables/tendons, differentials, coupled linkages or underactuated mechanisms - and dealt with the compliance, friction and backlash they introduce. Worked on end-effectors or comparable multi-DoF mechanisms, including grasp control and supporting sensing. Debugged at the fieldbus and OS layer: e.g. EtherCAT or CAN, on an RTOS or real-time Linux. Strong control theory foundation (linear/nonlinear control, stability, observers, state estimation, feedback/feedforward, filtering, frequency-domain analysis) applied to multi-DoF mechanisms via Jacobians, numerical IK/FK, and URDF/Xacro. Nice to have: BLDC motor control (commutation, current control, torque optimization). ros2control internals (hardware interfaces, controllers, controllermanager, plugins, lifecycle nodes). Tendon- or cable-driven mechanisms specifically, including pretension management, routing friction and wear behaviour. Tactile sensing integration; vacuum and suction tooling, including multi-cup arrays and grip-loss handling. System identification toolchains and simulation environments (MATLAB/Simulink, MuJoCo, Isaac Sim). Competitive equity: stock options with meaningful upside as we scale. 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). Private healthcare, including virtual and in-person care. Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in-office. Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one. #J-18808-Ljbffr

Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it. So, tell me about the company Brainlabs is culture-first. You’ve probably heard other companies describe themselves as people, clients, or profit first – but we see people, clients and profit as the building blocks of our ecosystem. Culture powers all three and we know that when the ecosystem is balanced, we all win! That's why the culture we cultivate is a culture of winning together. To learn more about what it’s like to be a Brainlabber, check out our culture code. What you do • Own day-to-day security operations: vulnerability management, connector and MCP approvals, threat model reviews and incident support, • Run and extend our SecOps AI agents, which handle Mend triage, MCP assessment, documentation review and incident scribing, • Make the security decisions the agents escalated, setting clear conditions rather than blanket blocks, • Drive vulnerability remediation with our dev and platform teams, escalating when fixes stall, • Keep security posture visible across GCP projects plus AWS and Azure, and partner with SEP2, our external MDR provider Who you are • You have solid security operations experience, whether from security engineering, appsec or platform security, • You know GCP properly: IAM, service accounts, logging and org policy. AWS and Azure familiarity helps, • You can read code well enough to judge whether a SAST finding is real, • You’re genuinely fluent with AI tooling and you build with it rather than around it, • You write clearly, because most of what you produce is a decision someone else has to act on, • You’re comfortable saying no with a reason and yes with conditions, and happy owning a function rather than working a queue How you succeed • You have solid security operations experience, whether from security engineering, appsec or platform security, • You know GCP properly: IAM, service accounts, logging and org policy. AWS and Azure familiarity helps, • You can read code well enough to judge whether a SAST finding is real, • You’re genuinely fluent with AI tooling and you build with it rather than around it, • You write clearly, because most of what you produce is a decision someone else has to act on, • You’re comfortable saying no with a reason and yes with conditions, and happy owning a function rather than working a queue What happens next We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. Thank you for your interest in Brainlabs! We look forward to getting to know you! What happens next? We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. A note on our offices: We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area. #J-18808-Ljbffr

We live in a world that runs on physical industries like energy, logistics, manufacturing. These sectors are essential to our economy and daily lives, yet they are held back by inefficiencies, fragile legacy systems, and decades-old ways of working. This is not just a business problem; it is a societal one. When grids fail, supply chains stall, or factories falter, entire economies are disrupted. We are looking for a creative Software Engineer with a passion for developing scalable, reliable, efficient, and beautiful AI‑first software and a strong sense of ingenuity. You will be part of an all‑star early team, building the future of software. We have been building product with AI at its core for enterprise customers since the early days of GPT‑3.5 to the latest and greatest models and have built internal tooling to work efficiently with LLMs. You will help develop frameworks for evaluation, verification, specialized code and test generation pipelines, agentic behavior, RAG, observability and orchestration tooling that are used across our product and inform real customer needs. • Define, build, and maintain reliable AI‑first product features, including internal frameworks and tooling for working with LLMs, • Experiment with various AI/LLM techniques, models, and approaches to increase the accuracy and reliability of our outputs, • Build and improve evaluation systems and benchmarks, • Design and build reusable application architectures and toolchains, working closely with the software synthesis team, • Write and ship high‑quality, efficient, and reliable code that is extendible, scalable, and observable – balancing experimentation with shipping, • Take ideas from experimentation to shipping, ensuring a great product experience, • Build and help foster an engineering culture that encourages innovation and high‑quality code standards while shipping fast, • Collaborate closely in a small, highly motivated team to build world‑class software, • At least 3 years of relevant work experience, • The drive to work at an early‑stage startup in a fast‑paced, quickly changing, and independent environment, • Proficiency in modern typed Python, Docker, and PostgreSQL, • Experience in a compiled typed language like Go or Rust, or modern front‑end development (plus), • Deep familiarity with modern Python ecosystems and toolchains, and experience working with large codebases, • Creative experimentalist at heart, with industry experience where experimentation was essential, • Professional experience using LLMs or enthusiastic experiments in your own time; industry experience with LLM toolchains (e.g., LangChain, observability tooling, RAG systems) is plus, • A fundamental understanding of code analysis, compilers, domain‑specific languages, or related topics, and a keenness to learn in these areas, • A passion for clean and reusable interfaces, with the ability to iterate fast, • Capability to work closely with a product manager to turn customer requirements into reliable systems quickly, balancing long‑term maintenance; excellent communication of technical systems to product‑focused stakeholders, • Familiarity with e2e testing frameworks, large language models, CI/CD tooling, workflow orchestration systems such as Argo or Temporal, and/or experience with Kubernetes (plus) Special note about career breaks: We accept candidates with career breaks and CV gaps. Life happens, we get it. Please apply anyway! • Competitive salary and share option plan, • 25 days annual leave, plus public holidays, • Excellent pension scheme, matched to 7.5%, • Private healthcare, including family cover and pre‑existing conditions, • Flexible hybrid working with 2 days per fortnight in our Farringdon office, with schedules negotiable, • Regular social events and offsites, • Access to a gym and fitness classes in our office building, • Mid‑Senior level, • Full‑time, • IT Services and IT Consulting Referrals increase your chances of interviewing at Cogna by 2x #J-18808-Ljbffr

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations.The difference between an AI Engineer and what we are looking for is straightforward: you hav

We're bold thinkers and kind teammates, growing fast but staying grounded. Our Nordic roots and global outlook shape a culture of friendliness, creativity, and collaboration, all powered by openness and shared wins. We care deeply about doing the right thing, and doing it together. We aim to improve the flow of goods, time, and energy, and we know we can't shape the future by clinging to the past. So, we keep evolving, together. RELEX runs the planning decisions behind 600+ retailers and manufacturers worldwide, deciding, at real scale, what gets forecast, stocked, priced, promoted, and produced across the entire value chain. Few problems combine this much data, this much complexity, and this much real-world weight: get it right and a shelf stays stocked, a factory line doesn’t stall, food doesn’t spoil in a warehouse before it’s sold. Get it wrong, and it shows up in actual losses, for some of the largest retail and manufacturing brands in the world. We’ve grown for 76 consecutive quarters straight, and it’s still accelerating. The first half of 2026 was the strongest in the company’s history. We’re a team of 2,000+ people, headquartered in Helsinki, with offices across Europe, North America, and Asia-Pacific. In response to our fast growth, we're looking for a Product Engineer to help reinvent how RELEX builds and ships forecasting models. As a team, we own forecasting end to end for our retail and wholesale customers — both the new plugin-based models we're building and the models already running in production. We're reinventing how RELEX builds and ships forecasting, moving from a small number of monolithic models to a growing library of purpose-built, plugin-based ones, used by 400 to 500+ customers. This role sits at the core of that. Bring your ideas. Challenge ours. Grow with us. • You will design, build and improve our plugin-based forecasting models end to end: feature engineering, testing, and iterating on performance in live customer environments, • You will take forecasting problems from business need to a working model running for a customer, with real ownership over the decisions along the way, • You will work directly across multiple customer environments, figuring out what generalizes and what needs to stay customer-specific, • You will use AI and agentic tools as a core part of how you build, pushing what they can do rather than using them passively, • You will operate with a high degree of autonomy in a distributed team, without a fixed playbook for how the work gets done Our five values are our playbook. We speak up when things don’t make sense. We stop doing what doesn’t add value. We stay curious, back each other up, and make space for both innovation and laughter. • Applied or theoretical understanding of modern forecasting and modelling methods, • A proven track record of independently owning ML or modelling work end to end, from first concept to running in production., • Genuine enthusiasm for agentic, AI-assisted engineering, and comfort being evaluated on how you reason through problems and direct AI tools, not only on manual coding, • Comfort working with real ambiguity and no fixed process, • Confidence making decisions independently and shipping in weeks, not months, • Comfort communicating directly with customers and cross-functional stakeholders, • Willingness to travel occasionally for customer work (roughly 1 to 2 trips a year), • As a bonus, prior experience in retail or supply chain is welcome but not required, • Fluent in written and spoken English, • As a bonus, we consider the experience of working with an international team, plus great communication and organizational skills You’ll be supported and given the space to thrive. We offer meaningful work, flexibility, and a culture that backs you to share your voice and be authentic. • First-mover ownership of an agentic engineering capability that doesn’t exist yet at RELEX, with real permission to start simple and fail fast, • An international career and learning opportunities, • A rapidly growing and financially robust software company with exciting opportunities for career growth, also in the future, • Flexibility in how and where you work, • Room to thrive in a fast-growing global company with a good market position, • Practical benefits that support work, family, wellness, and everyday life, • Annual leave, • Diverse, inclusive, and supportive work culture, • Work that meaningfully reduces waste and improves sustainability, • Ownership, autonomy and flat hierarchies, • Two paid volunteering days each year Please note that to be considered for this position, you must be based in EMEA or Eastern US and hold a valid work permit for your location. We’re excited to connect with applicants who meet these criteria and share our passion to do hard things, trust each other, and build what’s next for the product, the planet, and the people. If you have questions, from our Talent Acquisition team is happy to answer them by email. Please note that we cannot process any applications through email. #J-18808-Ljbffr

You build the systems that actually make AI work in enterprise environments, not demos, not prototypes that stall after a pilot, but production agentic architectures running inside real client organizations. The difference between an AI Engineer and what we are looking for is straightforward: you have shipped a multi‑agent system in production, you have owned the eval harness, and you know what happens when your agent fails at 2am because you have lived it. As an AI Engineer (Agentic/Applied), you will design, build, and deploy production‑grade agentic AI systems across the full enterprise technology stack. You will work directly with client engineering teams, lead technical design sessions, and build reusable patterns and accelerators that scale beyond individual engagements. This role sits at the heart of the AI engineering talent market — demand is growing faster than supply and will continue to do so. We offer what no single product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams and a direct pathway to the Forward Deployed Engineer programme. • Architect and govern production‑grade agentic systems at enterprise scale: multi‑agent orchestration across complex environments, RAG pipelines, policy‑based routing, memory management, and programme‑level lifecycle observability, • Define RAG pipeline standards across engagements: establish chunking and embedding strategies, set quality benchmarks, and ensure metric‑backed tradeoff decisions are documented and transferable, • Set multi‑LLM integration standards: vendor‑agnostic architecture by default, fallback routing and cost governance as standard design practice across providers including OpenAI, Anthropic, Vertex AI, and open‑source models, • Own LLMOps at programme scale: eval strategy, prompt governance, observability tooling standards, safety monitoring and cost controls across multiple concurrent systems, • Lead client engineering engagements at senior level — facilitate architecture design sessions, lead proof‑of‑concept delivery, and drive alignment between client technology leadership and delivery teams, • Shape and publish reusable patterns, accelerators, and engineering standards that scale across the practice and reduce ramp‑up time on new client engagements, • Own the measurement framework for agentic system quality: define accuracy, latency, safety, and cost metrics; present programme‑level AI impact in business terms to senior client stakeholders #LI‑EU • Extensive software engineering experience in production environments, • Hands‑on experience designing and deploying agentic AI solutions in a production environment — non‑negotiable, • Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level, • Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs, • RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering, • LLMOps fundamentals: eval harness design, prompt versioning, and production observability, • Cloud‑native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm), • Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience, • Quality of experience is weighted over years, a candidate who has shipped three production agentic systems in four years is preferred over a generalist with passive AI exposure, • People lead responsibilities: experience managing, developing, and performance‑managing a team of engineers; setting individual development plans and conducting career conversations Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent‑and innovation‑led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture #J-18808-Ljbffr

QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity. Duku AI is ending that era. We’re building autonomous agents that think like engineers : they run every critical user journey, catch failures before users do, and self-heal as the codebase evolves. Real AI teammates, not test scripts that break on impact. We’re venture-backed and led by operators who’ve scaled Meta’s testing infrastructure, launched Uber’s global playbooks, and grew Deliveroo from zero to hypergrowth. We know what elite execution looks like and we’re hunting for one more builder to help us rewrite the rules of software quality. • You will own engineering execution end-to-end., • You will take ideas from zero to production., • You will help define the technical DNA of the company. Ship fast, learn faster : We deploy daily, not monthly, • Talk to users, shape the roadmap : Sit in the trenches with founders on calls that define what we build, • Train AI agents: Design LLM-powered testers that explore, learn, and adapt in real time, • Own the stack : Python, TypeScript, cloud infra, from commit to production, • Turn prototypes into production : Run real experiments on models, embeddings, and retrieval pipelines This is a hands-on leadership role for someone who thrives without guardrails. • Relentless drive: You execute fast, adapt faster, • Startup scar tissue : You’ve shipped product with no safety net, • Fluency with AI/LLMs : LangChain, vector stores, prompt engineering, • Product obsession : You care more about outcomes than outputs There’s no perfect pedigree. We hire for mindset, not credentials. That said, you might have: • Shipped AI features in prod, • Built something from 0 to 1, • Thrived in chaos with high ownership Software is accelerating. QA hasn’t kept up. Autonomous testing is inevitable, and we’re building it. Five years from now, every high-velocity team will rely on AI agents like ours to ship faster, safer, and smarter. Join now, and help make that future real, before someone else does. #J-18808-Ljbffr

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real‑world problems with cutting‑edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real‑world problems with cutting‑edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real‑world problems and ideating beside the best and the brightest, we invite you to join us! This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters. As a Practice Architect – Delivery Architecture (DA) within the Center of Excellence (COE), you will serve as a hands‑on technical leader responsible for ensuring that delivery methodologies, frameworks, and architectures are executable in real‑world customer environments. You will bridge the gap between design and execution by validating how solutions are deployed, identifying friction points, and driving continuous improvement in how services are delivered at scale. This role operates at the intersection of Professional Services, Scale & Optimize (S&O), and COE, ensuring that delivery approaches are not only well‑designed but also practical, repeatable, and optimized for speed, quality, and customer outcomes. • Participate directly in customer deployments to validate COE delivery methodologies, frameworks, and tools in real‑world environments., • Provide hands‑on support for complex or high‑risk engagements, acting as a technical escalation point., • Ensure delivery approaches are executable, efficient, and aligned with customer environments and constraints., • Define and refine delivery architecture patterns that ensure consistent execution across products, theaters, and delivery models., • Establish best practices for deployment sequencing, dependencies, and integration points across Cortex, Cloud, and Network Security platforms., • Ensure alignment between solution architecture and how those solutions are operationalized in the field., • Validate end-to-end lifecycle execution from initial deployment through optimization and expansion., • Identify where customers stall during deployment or post‑deployment phases and drive improvements to remove friction., • Ensure clean, repeatable handoffs between Professional Services and Scale & Optimize teams., • Provide structured, actionable feedback to Practice Architects (Technical Architecture and Platform Enablement) and Practice Leads., • Identify gaps in methodologies, tooling, or assumptions based on field execution., • Support pilots of new delivery models, frameworks, and tools, ensuring they are validated before global rollout., • Partner closely with Professional Services, S&O, Product/Engineering, and COE teams to ensure alignment between delivery expectations and execution reality., • Collaborate with Technical Architecture and Platform Enablement roles to ensure delivery models are technically sound and scalable., • Act as a bridge between global COE standards and regional execution needs., • Share execution insights and best practices across theaters to drive consistency., • Contribute to enablement content, including delivery playbooks, runbooks, and field guidance., • Mentor consultants and architects on delivery best practices and execution strategies., • Delivery architecture patterns and execution standards, • Field validation of COE methodologies, • Identification of execution risks and gaps, • Credibility and success of delivery pilots, • Global methodology improvements, • Automation and platform enablement priorities, • Delivery lifecycle design and handoff models, • Technical Expertise: Strong experience in cybersecurity platforms (Cortex, Cloud, Network Security) and enterprise‑scale deployments., • Delivery Experience: Proven track record delivering complex, large‑scale implementations in customer environments., • Execution Focus: Deep understanding of how solutions are deployed, integrated, and operationalized in real‑world scenarios., • Problem Solving: Ability to identify execution gaps and drive practical, scalable solutions., • Communication Skills: Strong ability to communicate with both technical teams and leadership stakeholders., • Collaboration: Experience working cross‑functionally across Services, Product, and Customer Success organizations. We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes #J-18808-Ljbffr

• Sophos is seeking a Senior Marketing Manager, Lead Lifecycle & Conversion to join our Global Growth Marketing team and own the strategy for how prospects progress through the buying journey – from initial engagement and qualification through to opportunity and revenue, • This role will bring together lifecycle strategy, nurture, buying signals, lead management and conversion optimization to create more connected, relevant experiences for Sophos prospects, • Working across Growth Marketing, Marketing Operations, SDR, Sales and Revenue Operations, you will identify where prospects stall or disengage and develop programs that improve progression, conversion and pipeline outcomes, • This is not a traditional nurture marketing role. We are looking for someone who can think across the entire funnel, use data and buying signals to understand customer behaviour, and build a lifecycle strategy that turns engagement into measurable business outcomes, • Own and continuously evolve Sophos’ global lead lifecycle strategy, from initial engagement through MQL, SAL, opportunity and revenue, • Map and optimize prospect journeys across key buying stages, identifying friction, leakage and opportunities to accelerate progression, • Establish clear lifecycle performance metrics and use funnel data to prioritize opportunities for improvement, • Develop strategies for leads that are not yet sales-ready, ensuring valuable prospects continue to be developed rather than lost from the buying journey, • Evolve Sophos’ nurture strategy from traditional, linear programs towards dynamic journeys driven by buyer behaviour, engagement, intent and account signals, • Define the appropriate next-best engagement for prospects based on where they are in their buying journey, • Partner with Content, Product Marketing, ABX and regional teams to ensure prospects receive relevant experiences throughout the lifecycle, • Develop re-engagement and recycling strategies to reactivate prospects and accounts that have stalled or disengaged, • Analyze performance across the funnel to identify where prospects are progressing, stalling or dropping out, • Develop and test interventions designed to improve conversion, lead velocity and pipeline contribution, • Partner with Marketing Operations and Revenue Operations to continuously improve lifecycle stages, lead scoring, qualification, routing and recycling, • Build a strong feedback loop with SDR and Sales teams to understand lead quality, disposition and progression, • Connect individual prospect behaviour with account-level engagement and intent signals to create a more complete view of buying readiness, • Partner with ABX to coordinate lead and account journeys and identify opportunities to accelerate high-intent accounts, • Work with SDR teams to ensure sellers receive the right leads at the right time, with the context and buying signals needed to engage effectively, • Identify opportunities to use AI, automation and predictive signals to improve personalization, prioritization and journey orchestration, • Define and report against lifecycle KPIs including MQL-to-SAL conversion, SAL-to-opportunity conversion, lead velocity, recycled lead conversion, pipeline and revenue contribution, • Develop actionable insights that identify opportunities to improve funnel performance, • Establish a culture of continuous testing, learning and optimization across the prospect lifecycle, • Communicate lifecycle performance, insights and recommendations to Growth Marketing and GTM stakeholders, • We encourage teams to get together in person periodically to help facilitate teamwork, • Remote-first working model & hybrid options, • Flexible start and end times for many roles, • Leadership development program, • Access to LinkedIn Learning, • Global internal coaching program (Coach Match), • Periodic Sophos wellness days off for all Sophos to help employees relax and recharge, • Global wellbeing program, which offers a range of wellbeing resources, including Sophos Wellbeing Webinars, Stress Management Toolkits, and Developing Resilience Courses, • Free Employee Assistance Program (EAP) for confidential advice and counseling on a wide range of work and personal issues, • Free annual subscription to the Calm app, • Paid parental leave, caregiver leave & bereavement/compassion leave available, • We host some unforgettable social experiences for our global teams including our music festival SOPH-Fest, go-karting, Sophmudder, and incredible holiday parties!, • Our annual global fitness challenge, SOPH-Fit, sees thousands of employees taking part in our virtual global race around the world, • Each quarter, we celebrate our exceptional global team by running the Sophos Values Awards, which recognizes and rewards employees who embody the Sophos values and who we are as a company, • Health care benefits available worldwide Commercial mindset with a strong understanding of pipeline, conversion and revenue metricsStrong communication skills with the ability to translate complex data and customer journeys into clear recommendationsAbility to influence and drive change across a complex, global organization without direct authorityExperience partnering with Sales, SDR, Marketing Operations and Revenue Operations teamsStrong analytical capability, with experience using funnel and conversion data to identify problems and drive actionDemonstrated experience developing lifecycle, nurture or demand programs that drive measurable pipeline and revenue outcomesStrong understanding of complex B2B buying journeys, preferably within SaaS, enterprise technology or cybersecurity7+ years of B2B marketing experience, ideally across lifecycle marketing, demand generation, growth marketing or marketing operationsHands-on experience using AI within marketing workflows, with an interest in how AI can improve journey orchestration, personalization and conversionStrong understanding of lead management, scoring, qualification, routing and recyclingExperience using CRM, marketing automation and ABM/intent platforms such as Salesforce, Marketo/Eloqua and 6sense or equivalent #J-18808-Ljbffr

Note: Partly is headquartered in Austin, TX with offices in London, UK, Christchurch, NZ and Auckland, NZ. Wherever you're based, we'll connect you with your nearest office for onboarding, and fly you to join the full team for our quarterly "Season Openers" (we cover travel and accommodation). If you're relocating to join us, we can also assist with relocation costs. Founded by ex-Rocket Lab engineers, we utilise bleeding-edge technology to solve challenging but exciting problems that make a huge impact in a $1.9 trillion industry. We've more than tripled our team over the last 12 months and expect to double in size again over the coming 12 months. We're a global team spanning both Europe and Australasia. We provide a scalable digital infrastructure solution to some of the world's largest businesses and the most exciting startups. Partly's solutions are integrated across hundreds of companies globally, providing the backbone for cataloguing and managing parts online. Our investors in Blackbird Ventures (Canva, CultureAmp etc.), Square Peg, Octopus Ventures, Icehouse, Peter Beck (Rocket Lab), Akshay Kothari (Notion Co-Founder) and Dylan Field (Figma Co-Founder). We're continuing to build a world-class team and ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture we've built at Partly, and our values are lived throughout every experience. This is the first hire of its kind at Partly. You are the first Enterprise Account Manager, so there is no playbook and no ramp to inherit. You will work out what makes a group go from signed to ordering most of its parts through us, prove it on your own accounts, and write the motion the next people run. Do this well and this becomes a team, and you have a claim on leading it. • Own the go-live of every site in your book, from signature to first order, and carry the number for how many are live rather than how many are signed, • Run the rollout with each group's head office: site lists, sequencing, who trains, what the first week looks like, • Own the rollout of our flagship agentic capability, across your groups. You are the person who takes it from a handful of sites to the way these businesses work., • Run the pilots and prove the case with the customer's own data: hours out of the parts process, margin won, jobs touched. Then get it out of the pilot site and across the group, • Find the next job worth giving to an agent. You will sit closer to how a bodyshop actually runs than anyone else at Partly, and most of that day is still manual. Come back with where the next one is and the evidence for it, • Feed what breaks straight to product, in detail, so Repair AI is built against real shops rather than assumptions, • Carry the commercial relationship: rates, rollout commitments, renewals and the terms that come with them, • Structure deals so both sides win when adoption rises, and hold groups to what they committed to, • Escalate to the Sales Director when a group's economics do not fit the standard shape, with a proposal rather than a problem, • Work out what makes a group go from signed to ordering, and what makes one stall. The pattern is not written down anywhere today, • Prove it on your own book first, then turn it into something repeatable: the rollout sequence, the pilot, the proof, the conversation that changes how a site buys, • Make it survive you. The measure is whether the next person can pick it up and get the same result, not whether you personally carried the number, • Write it so the next hire can pick it up and get the same result. If you do, this seat becomes a team and you have a claim on leading it, • Can design the playbook, not just run one. There is no template for this seat and no ramp to inherit. You will work out what actually moves a signed group from live to ordering, prove it on your own accounts, and write it down so the next person can run it, • You have carried and hit a number on existing accounts, through adoption and expansion rather than new logos alone, • Commercially credible and self sufficient with account data. You can diagnose an account and build your own views rather than waiting for someone to build them, • Comfortable where the playbook is still being written, and happy to write it, • Willing to get into the market. Our customers are bodyshops and the job does not work from a desk, • (Bonus) Automotive aftermarket, collision repair or parts distribution background, or having sold a product where usage rather than signature is the paid event Please note: if you don't have all the skills or experience listed above but believe you could be outstanding in this role, please still consider applying. Many people count themselves out. We'd love the chance to learn more about you and why you're exceptional. Healthy, Catered Lunches - Enjoy fresh, healthy lunches every workday in our Auckland, Christchurch, London, and Austin offices. With no meal prep needed, you can eat, connect, and refuel with your team. (And yes, snacks and drinks are always on hand.) • Healthy Body, Healthy Mind - We care about performing at our peak. Every team member gets a $1,500 annual wellness allowance (or local equivalent) on a Partly-branded card. Use it on things such as gym memberships, rock climbing, physical therapy, massage, doctor visits, prescriptions—anything that you or your family need!, • Family Comes First - Primary caregivers receive 3 months of fully paid parental leave, plus a flexible return-to-work plan (four days a week at full pay for your first three months back)., • Workspaces That Inspire - Our brand-new, architecturally designed offices are built for collaboration and creativity, with great coffee, social spaces, and some of the best cafes just a few steps away., • Getting Here Is On Us - If you commute to a Partly office or coworking space (atleast 4 days a week), choose from a paid 24/7 parking spot or a commuting allowance. One less thing to think about!, • Office-First with Flexibility - In cities where we have an office (Christchurch, Auckland, London, and Austin), we default to working from the office every day. This lets us move faster, make better decisions, and build strong relationships. We also operate with a high-trust environment, so you can manage your time around your life and flex your schedule to do your best work., • Time Off - you can use your annual leave and sick leave from day one, no waiting to accrue it first. And if you ever go into a negative balance, that's fine too, we trust you to manage your own time off, • We Celebrate Together - From weekly happy hours and monthly lunches to quarterly season openers and an annual global offsite, we make time to connect, celebrate, and have fun as one team., • Giving - We support charitable giving and will top up your donation by 33% for charities on the GiveWell list, • Equity - You'll receive share options (ESOP) with a 4-year vesting schedule and a 1-year cliff, true ownership in Partly from day one. Your strike price is a flat $0.01 per share, and you have up to 10 years to exercise. #J-18808-Ljbffr

Location: Nine Elms, London. Full time, hybrid with at least 3 days a week on site. You'll need the right to work in the UK and be based in London. We are not able to offer visa sponsorship for this role. Zapp is building the future of convenience with a full stack approach to on-demand essential items, 24/7, delivered in minutes. Customer obsession is at the heart of everything we do, from app users to frontline staff to store workers. We are relentlessly focused on delighting our customers. We are backed by the world's leading investors, and our team has scale-up and exit experience at companies such as Amazon, Deliveroo, Tesco, Stuart, and Just Eat. If you're ready to help build the world's most customer-focused company, get in touch. • Creating Magic, • Taking Ownership, • Raising the Bar, • Winning Together, • Delivering with Speed We don't just build software. We build intelligent systems. From AI-assisted development workflows to LLM-powered product features, we expect every engineer to embrace and actively shape how AI changes what we ship and how we ship it. If you're the kind of engineer who gets excited by what's possible when agents, models, and great product sense meet, you'll feel at home here. Join Zapp and take full lifecycle ownership of the apps our customers use every day. We're building a world-class experience across iOS, Android, and web, and you'll help us get there. Quick commerce moves fast and lives in the real world. AI is changing how we build it. That's the part we love. We need engineers who are curious, energetic, and thrive at the front line of both. Build a world-class customer experience. Develop the mobile and web experiences our customers use every day, in React Native and Expo across iOS, Android, and web. Bring AI into how we build. Use AI in your daily work. Share patterns that help the team move faster, and learn from what others discover. Help shape AI in our product. AI features in our app are still early. Spot the customer moments where AI can create magic, prototype them, and bring them to life. Own delivery end-to-end. Pick up a problem, design the solution, ship the mobile work, write the backend code when the feature requires it, and see it through to production. Own on-call. Be on the rotation, and stand behind what you ship in production. Keep the app fast and trusted. Profile performance, harden release processes, and protect production health. Raise the bar for the team. Contribute to architectural discussions and the patterns that shape our codebase. Lift the people around you. Mobile experience. 5+ years building production software. Deep React Native and Expo. Strong across iOS and Android, with B2C apps in your track record. Strong fundamentals. Confident and idiomatic in TypeScript. Use AI daily. AI assistants are part of how you build. You bring back patterns that help others get more out of them too. Think product, not just code. You measure your work by what changed for the customer, not the lines of code shipped. Production minded. Solid grasp of mobile performance, app stability, release processes, and mobile security. Care about craft. Design systems, attention to detail, and how the product feels. Comfortable in uncertainty. You move forward when the path isn't clear, instead of waiting for someone to define it. Test as you build. Automated tests are how you ship code you trust. Passionate about execution. Curiosity, energy, and a habit of moving things forward. Excellent communicator. Clear in how you write and speak, and you love sharing what you learn. NestJS. Our backend is a NestJS service, and you'd feel at home when features need backend work. GraphQL. We run a federated gateway across multiple subgraphs, so federation experience makes schema and subgraph work easier. GCP and DevOps. Firestore, Pub/Sub, Cloud Run, Firebase. Native iOS or Android. Swift or Kotlin. We maintain a custom Expo native module for iOS Live Activities, which powers order tracking on the lock screen and Dynamic Island. React Native Web. Cross-platform delivery from a shared codebase. Quick commerce or similar domain. Logistics, on-demand delivery, or another real-time, high-throughput customer-facing environment. Need a fully defined process and a large, structured team to do your best work. Chase technical perfection at the expense of what the customer actually needs. Stall when the path forward isn't clear, or wait to be told what to do. Want to stay strictly inside your specialty and avoid unfamiliar parts of the stack. We aim to make our process clear, respectful of your time, and a real two-way conversation. Stage 1 - Intro call (30 min). A short chat about your background and a chance for us to tell you more about Zapp, the team, and the role. Stage 2 - Technical interview (90 min). Live coding with full access to any AI tooling you'd normally use, and we'll send you a boilerplate repository in advance so you can focus on the problem, not the setup. Stage 3 - On-site interview (2 hours, in person). A visit to our office: one hour of mobile architecture, and one hour with senior leadership on how you work, what you care about, and how you align with our Leadership Principles. Stage 4 - Offer. We verify your right to work in the UK and complete reference checks before the contract. • Equity package, depending on experience., • Zapp Credit for testing the Zapp service and experience, • 25 days of holiday per year, plus all bank holidays., • Private health insurance., • Extended sick pay and maternity or paternity leave. #J-18808-Ljbffr

Mother Root is the fiery ginger non-alcoholic aperitif. We harness the power of apple cider vinegar to serve up a dose of good feelings. Our mission is to redefine the evening ritual of drinking well and feeling good, with drinks that are complex, delicious and rooted in nature. We're the UK's fastest‑growing drinks brand and the number one non‑alcoholic spirit. We were a £7m business last year and we're on track for more than £20m this year. Next we're accelerating that growth, and becoming one of the leading non‑alcoholic brands in the US as well as the UK. Small but mighty team, big category, plenty still to build. We're building a team where ambitious people do the best work of their careers, supporting each other and making something they truly believe in. We believe work should be joyful, purposeful and full of flavour. Growing fast is a good problem, and it's still a problem. More people, more products, more moving parts, all of it landing on a small team. Business Operations is how we handle that: the operating system of Mother Root, and how we keep moving faster than companies ten times bigger without burning ourselves out doing it. We know what that operating system needs to become. What we don't have is the hands to build it. Our Business Operations Lead is splitting the week between designing and building, and the designing keeps losing. So we're hiring the person who makes it real. Your job, put simply, is to find friction and get rid of it. The report someone rebuilds by hand every Monday. The update chased three times before it lands. The answer that lives in one person's head instead of a doc. You'll spot those, fix them, and increasingly use AI and automations to make sure they don't come back. You’ll be an early hire in a brand new function, working directly with the Lead. Remove the friction. This grows as you learn where the business really loses time. • Keep the operating system running. This is most of your week to begin with, and it matters more than it sounds., • Notion is where Mother Root thinks. You'll be the first person the team asks, and you'll keep the workspace healthy: structure, permissions, templates, database hygiene, one clear source of truth. Nobody should lose twenty minutes working out which version is the real one., • The Ways of Working Log. Yours to own, and early. Friction comes in from every corner of the business, you triage it, get each action to the right owner and close the loop. This is how a decision we make in a room becomes a thing that actually happened., • The SOP library. Keep it current, retire what's gone stale. When it's good, a new starter learns the job from the docs instead of from someone's memory., • Our tech stack. The Lead owns how we manage it, you keep it honest: the tools database accurate, the right people with the right access, no surprises about what we pay for., • Data quality across the operational databases we own, so the numbers we look at hold up., • Go looking for repetitive admin across the functions, then get rid of it. Sometimes that's a smarter process. Often it's AI or a lightweight automation using tools like Claude, Make, Zapier or n8n., • Test AI use cases properly, then turn what works into prompts, playbooks and short training sessions so the whole team can use it. We want everyone here fluent in AI, not one person doing it for them., • Run the change. When we agree an improvement, you're the one who makes it real: the plan, the tasks, the comms, the training, the chasing. Momentum shouldn't depend on anyone's memory., • You learn how Mother Root really works. You meet every function, sit in on their rhythms, and take on the Ways of Working Log., • The Log becomes yours outright and the recurring rhythm of the function runs through you. You've shipped your first couple of automations and killed off some admin nobody will miss., • You own areas, not just tasks. You've earned the right to say "this is broken and here's what I'm doing about it" without asking first., • You're the person joining up the work that runs across Business Operations and functions, because by now you know our operating system inside out and how we work. You'll have a point of view on what we should do next, and we'll want to hear it., • You've built something with AI. Not used it, built with it. An agent, an automation, a prompt library, a tool that did a real job for you. It absolutely does not have to be paid work. A side project counts. A society you ran counts. A spreadsheet that got out of hand and turned into a system counts., • A systems brain. You see how things connect, and messy information bothers you until you've brought some order to it., • You start with people, not systems. The best fix comes from understanding how someone actually works, so you'll spend time with teams, watch what they really do, and ask why more than once before you build anything. You're after the pain point underneath the request, not the quick patch on top of it. A solution nobody asked for is just more admin., • Follow through. You finish things. You don't need telling twice, and you'd rather flag a problem early than hope it goes away., • You find a way. "We can't do that" isn't an answer you reach for. If the obvious route is blocked you go looking for another one, and if something genuinely can't be done you come back with what can, and with what it would take., • You notice. The broken link, the stale doc, the number that can't be right. You spot it, and then you fix it., • You write clearly. You can explain a system to someone who has no interest in systems, and they'll understand it., • Curiosity that survives contact with reality. When something breaks or you've no idea how it works, you find that interesting rather than frightening., • You can run a project. Nothing certified, just capable. You can hold a plan, chase the bits that stall and tell people where things stand before they ask. hands‑on time in Notion, and experience of a fast‑moving business where you've had to build the process rather than inherit it. • Be human. Warmth first, with each other, customers and suppliers. The person stays at the heart of every decision. We're straight when it's hard, and we lean on each other., • Bring the heat. Energy, hunger, momentum. We're ambitious and we don't settle. We back ourselves and we test and learn rather than get stuck in debate., • Keep it simple. Fewer things, done properly. The simplest version wins. Simple is harder, that's the point., • Stay original. We lead, we don't follow. We made the category, and staying original means never stopping there., • You'll do operations the new way. AI isn't a side experiment here, it's how we intend to run a small team against much bigger ones. You'll be experimenting with it every week, and building genuine skill in the thing everyone is currently talking about., • You'll work directly with the Lead. No layers in between, real feedback in real time, and a genuine say in where this function goes next., • Your work will be visible. No committees, no layers. You'll build something on Tuesday and see the team using it on Thursday., • The function is being built around you. Where this goes next depends a lot on what you make of it., • Salary: £40,000-50,000 (depending on skills/experience), • Share Options Programme, • Hybrid working: 3 x a week in office (Mon, Tues, Thurs) & 2 from home, • Annual Leave: 25 days per year, • Summer Hours: Early finish Fridays (June–August), • Work From Anywhere: Up to 2 weeks per year, • Pension: Up to 5% matched contribution, • Cycle Scheme: Bike or Lime/Forest Pass, • Personal Development: £300 annual allowance for approved training, • Wellbeing Support: Access to Spill app & Heka allowance (£40/month) + birthday/work anniversary boosts, • Annual Team Trip: Gastronomical & wellbeing-focused team away trip, • Parental Leave: Competitive maternity/paternity package, • Lots of free Mother Root #J-18808-Ljbffr

We're building the future of healthcare by giving every clinician the earth's finest AI Care Partner. In just 18 months, our clinical AI products have absorbed the administrative chaos of 73 million patient visits. Today, we support over 2.5 million patient sessions a week across 190+ countries. Healthcare systems are failing us; clinicians spend more time on documentation than on patients, and the human connection that makes medicine worth practicing is eroding. Our mission is simple: double the world’s healthcare capacity and strengthen the human connection at its heart. We found product-market fit with a freemium medical scribe that clinicians love. Now, we're expanding. Every task a clinician hands to Heidi is a patient who feels more attended to, a health system unclogged, and a clinician who gets to be a clinician again. If you don’t choose easy and you want to build something way bigger than yourself, then choose the challenge, choose Heidi. The Software Implementation Engineer is a hands-on technical delivery role at the centre of complex NHS deployments. At Heidi, the CSM owns the customer from day one: the relationship, the rollout plan, the path to renewal. The Implementation Engineer is the technical arm they lean on: the person who personally configures SSO with the customer's IT team, sets up and provisions tenants, delivers EHR integrations through to go-live, configures agents and custom builds, and gives every technical problem a fast diagnosis and the right owner — fixing what is configuration, and handing confirmed product defects to Support Engineering, who own and drive their resolution. You are the reason launches don't stall on technical topics. The remit is deliberately broad: anything to do with getting an account set up, configured and optimised is yours, from account configuration and MFA through to integration build and iteration, rather than being split across several specialist roles. Clinical training and adoption sit with Clinical Enablement, not here. Your ownership begins upon acceptance of the enterprise handover. It ends when the agreed technical scope has passed its acceptance criteria, customer sign-off has been recorded, the final configuration has been documented and the implementation has transferred into hypercare or BAU support. You are technically credible in front of a CIO, precise in what you hand to engineers, and relentless about closing the loop — and you translate what customers need technically into clear, prioritised asks for the Technical Program Manager (TPM), who owns the integration roadmap and prioritisation. Success in this role looks like: Hands-on delivery — you personally set up, configure and validate the technical footprint of an account: identity, provisioning, integrations, agents, data flows. Not coordinated — done. Technical ownership — every technical problem at your accounts gets a fast diagnosis and a clear owner. What is configuration or implementation, you fix; what is a product defect, Support Engineering owns and drives — you hand it over with the diagnosis attached and do not shadow the ticket. CSMs never have to diagnose or route technical problems themselves. Fast unblocking — technical blockers that would stall a launch for weeks get diagnosed, sequenced and resolved in days, because you understand the problem and know exactly who has to do what. Clean boundaries — you hand net-new build work to FDEs as precise, prioritised requirements they can act on without rework, and you route live product defects to Support Engineering with a proper diagnosis attached — you don’t hoard work that belongs elsewhere, and you don’t toss problems over walls. Trusted translation — customer IT and security teams treat you as a peer; the Technical Program Manager (TPM) gets integration gaps and technical priorities from you they can act on, and product hears a clear, prioritised signal. This is a delivery-accountable role, so your job is to make the technical side of every account work: identity live, tenants configured, integrations delivered, agents built, security questions answered, and technical problems solved before they become escalations. What you’ll do Technical Onboarding & Account Setup Own the technical setup of new enterprise accounts end to end: tenant and workspace configuration, user provisioning and seat structure, environment readiness. Configure SSO with the customer’s IT team — SAML / OIDC against Okta, Microsoft Entra and NHS identity infrastructure — including MFA and conditional-access alignment. Drive network and device readiness: whitelisting, VDI and shared-device constraints, mobile device management, so clinicians can actually use Heidi on day one. Work directly with customer IT to clear whatever is blocking a swift deployment: deployment questionnaires, IT vetting, access requests, environment prerequisites. Integration Delivery Receive the validated integration design and signed SOW from presales. Confirm implementation prerequisites, elaborate the agreed design where necessary, configure the Heidi components, perform technical testing, support customer UAT and execute the technical go-live activities within the implementation plan you own. Translate the agreed SOW and technical design into precise, prioritised implementation requirements; hand net-new build to FDEs in a form they can act on without rework, own the account-side delivery around it, and surface integration gaps to the Technical Program Manager. Raise any requirement that is missing, materially different or genuinely out of scope through formal change control before work proceeds, rather than absorbing scope creep silently. Provide credible estimates, identify dependencies early and give the CSM evidence-based status and recovery options. You own the integrated technical plan, customer-facing delivery dates and dependency escalation. After go-live, keep working with the trust integration team to iterate and optimise the integration: anything that is not a product defect is yours to make work. Product-technical Configuration Set up agentic workflows, agents and custom builds to fit each account’s clinical and operational workflows, turning vague customer asks into scoped configurations with clear acceptance criteria. Translate what the customer bought into what has to be configured, and set it up: products, identity, integrations, agents, APIs, exports and data flows. As Heidi adds products (agents, agentic workflows, comms), their account-level setup lands here too. Handle technical template and coding setup where it crosses into system behaviour (clinical content stays with Clinical Enablement). Technical Escalation & Resolution During active implementation and hypercare, be the first technical port of call for CSMs: when something technical breaks or will not configure, you provide first-line diagnosis and make sure it lands with the right owner. Once an account has formally handed over to BAU, Support Engineering owns initial triage and ongoing incident management, and you are re-engaged only through agreed escalation criteria. Diagnose before you route: implementation-phase and account-specific configuration issues are yours to fix; confirmed product defects go to Support Engineering with your diagnosis attached — they own and drive resolution, and Support Engineering owns defect resolution. The Implementation Engineer remains informed where the defect affects implementation milestones, acceptance criteria or customer readiness, without duplicating Support’s investigation. Translate customer technical problems into clear priorities — routing integration gaps to the Technical Program Manager (who owns the roadmap) and confirmed defects to Support Engineering — the alignment that gets problems actually solved. Information Governance & Security Enablement Provide accurate technical input and evidence for DPIAs, security questionnaires and IT-assurance requests, routed through Compliance, who owns these processes. Security, Privacy and Clinical Safety retain approval authority for their respective positions. Keep them off the critical path without becoming the sign-off owner. Work within NHS governance gates — clinical safety sign-off, IG approval, change-control windows — planning technical work around them (clinical-safety substance is owned by Heidi’s Clinical Safety Officer). Handover acceptance and scope control Review the signed SOW, discovery notes, technical decision record, architecture, acceptance criteria, success measures and open risk log before technical implementation begins. Return the handover where a blocking material risk, unclear scope or unsupported commitment prevents a credible implementation plan. Deliver against the agreed scope without converting new customer requirements into configuration work. Classify emerging requests as in-scope configuration, defect, net-new engineering, roadmap request or commercial change. Escalate material scope changes through the CSM, SE and AE before committing work or dates. How we show up Build for the next decade, not next quarter. Our targets are outrageous on purpose. The world's health doesn't have the luxury of incrementalism. Lead, don't wait. We treat tomorrow's problems today. Sometimes we build what's needed before it's wanted, and we're fine with that. Follow the evidence. Trust the patient. We pursue truth relentlessly. But when the subjective and objective disagree, we treat the patient, not the numbers. Ego is a comorbidity we can't afford. Own the outcome. Everyone here carries the company. Raise problems with solutions, solve them end-to-end, and never be a bystander. Ship, measure, go again. A button today, a workflow tomorrow. More iterations beat better planning. We're precise at pace, not reckless. Live in clinicians' reality. Not the ideal workflow, the twenty-patients-before-lunch actual one. We build for exhausted humans, and we'd better be decent ones while we do it. Why Heidi? You’ll join a team focused on real-world impact over imaginary valuations and glossy PR. We live and breathe the challenges of modern health systems, and are laser-focused on exacting the change we’d like to see. We’re medicos, engineers, builders, and designers who’ve felt the moral and practical toll of what non-care feels like. True A-players progress extremely fast here. The nature of the scale-up game is demanding, but we value sustainable performance and mental health. You're trusted to perform, and you set your schedule. We operate on outcomes > inputs, not process theatre. We all take the bins out, metaphorically and literally. Building what we’re building isn’t always easy. But we didn’t choose easy, we chose to build something that actually matters. We hold ourselves to a higher standard because healthcare demands it. If you join Heidi, you recognise that the deeper question isn’t whether AI can solve the global healthcare crisis, but whose hands will shape it. The work is hard, but you will trust and admire the people you work beside, and rest easy knowing you’re doing the defining work of your career. Equity from day one. When Heidi wins, you win. You'll share directly in the success you help create. Your health, covered. Comprehensive private medical and dental cover through Bupa, plus 24/7 mental health, coaching and wellbeing support through Sonder and a £100/month Healthy Heidi’s stipend. Global parental leave. 26 weeks paid for primary carers and 18 weeks for secondary carers, subject to eligibility. Fertility support. £7,000 one-off payment, eligibility applies. Learning & development. £700 per year for courses, books, memberships, conferences and more. Home office budget of £500 one-off to set up a workspace you actually want to work in. Recharge days after major milestones and busy periods so you can reset and come back strong. Work from anywhere for up to 4 weeks per year, wherever the world takes you. Clinical leave. 10 days per year for eligible clinical roles to maintain accreditation and requirements. Flexibility that works. A hybrid environment, with 3 days in the office. Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants as we're committed to promoting a culture of opportunity for all. #J-18808-Ljbffr

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu