12 jobs found

We're looking for a Principal Product Manager who operates as an enterprise level problem solver: someone who can set a multi year vision, orchestrate complex cross functional work, and influence strategy across products, customers, and partners. You'll own a critical product domain that cuts across teams and capabilities within a platform used by some of the biggest enterprises on the planet. This is not a feature factory. You will be expected to make hard trade offs, say no as much as you say yes, and base every bet in evidence. Responsibilities Own and scale a cross cutting product domain. Define and continuously refine the multi quarter and multi year strategy for a product area that spans multiple teams and surfaces, ensuring it ladders up to company and portfolio strategy-not just a single feature set. Set direction through outcomes, not output. Establish clear, measurable product outcomes; translate them into coherent roadmaps; and make deliberate trade offs that balance short term wins with long term strategic bets. Drive complex cross functional execution. Lead cross team initiatives that require coordination across product, engineering, design, data/AI, GTM, customer facing teams, and partners. Anticipate and remove systemic blockers, resolve conflicts, and ensure we ship high quality, high impact releases on schedule. Act as a thought partner to senior leadership. Synthesize customer, market, competitive, and internal data into crisp narratives and recommendations that influence portfolio and business strategy. Lead strategy documents, investment cases, and executive reviews for your domain. Be deeply data driven at scale. Define and instrument success metrics for your domain, design experiments, and use quantitative and qualitative signals to make decisions, validate hypotheses, and iterate. Model best practices in how we use data to steer product direction. Design for AI and build AI native experiences. Identify and prioritize where AI and agentic capabilities create disproportionate value for our industrial users. Partner closely with engineering and AI teams to shape use cases, UX, and guardrails. Use AI tools proactively in your own discovery, analysis, and execution. Lead through ambiguity. Take ownership of problem spaces where the market signal is incomplete, constraints are evolving, or the solution requires structured experimentation. Bring structure, frameworks, and focus to ambiguous domains and help others navigate them. Be the trusted voice of the customer and the field. Build deep relationships with strategic customers, partners, and field teams. Regularly engage in discovery, design partner programs, and high stakes customer conversations. Use these insights to challenge assumptions and refine strategy. Raise the bar for product quality and UX. Champion simplicity, usability, and technical soundness. Collaborate tightly with design and engineering to ensure we ship experiences that are robust, scalable, and delightful for industrial users. Mentor and elevate other product managers. Coach PMs across the team on craft, frameworks, and decision making. Share best practices, review their work, and help shape and continuously improve product management standards and rituals at Seeq. Qualifications Proven Principal level impact in B2B SaaS. 7+ years of product management experience (or equivalent), including substantial time operating at Senior or Principal PM level on complex products or platforms. Track record owning strategy for complex domains. Demonstrated experience defining and executing multi quarter roadmaps for cross cutting or platform capabilities (e.g., data, analytics, workflow, AI/ML, or developer/platform surfaces). Enterprise and ecosystem mindset. Experience building products for enterprise customers-ideally in data, analytics, industrial software, or adjacent domains-balancing user needs, technical constraints, security, and commercial realities. Exceptional influence and communication skills. Ability to frame problems, tell compelling product stories, and influence executive stakeholders, peers, and cross functional partners across time zones and functions. Strong analytical and experimentation skills. Comfortable with metrics, experimentation, and instrumentation at scale. You can move seamlessly between qualitative discovery and quantitative decision making. AI fluency. Experience defining and shipping AI powered product capabilities and/or demonstrated ability to quickly come up the learning curve on AI native workflows, agentic patterns, and their implications for users. Leadership without formal authority. Demonstrated ability to mentor PMs and cross functional partners, lead large initiatives, and elevate the overall quality of product thinking and execution across a team or organization. Domain familiarity (nice to have). Experience with industrial operations, time series data, OT/IT environments, or process manufacturing is a plus, but not required if you have a strong track record quickly learning complex technical domains. Benefits Competitive salary plus bonus incentives Benefits: 12 week paid Seeq family leave Unlimited PTO Internet and mobile phone reimbursements Medical benefits Group term life insurance Short term and long term disability insurance pre tax benefits Voluntary vision and dental (ortho) Vacation bonus program Employee Assistance Program Generous home office allowance The best co workers (we've analyzed the data, so we know it's true.) Pet friendly workspace (your dog will be so happy to have you home) You love your job! Seeq provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. You must be authorized to work in the country in which you reside. Seeq does not sponsor US F1 or H 1B work visas.

For additional information, please review .analysis, application development, problem solving and communication to Source to Pay Solutions Technology group.By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Team/Role Overview Source to Pay Solutions Technology group is part of COO (Citi Operating Office) Technology organization supporting Citi Operating Office business function and its enterprise wide transformation agenda to achieve improvements across risk management, controls, data governance, AI adoption, and process re engineering by delivering scalable, secure, and modern technology solutions. Based in Belfast, the team partners closely with businesses and technology stakeholders to build, manage, and modernize multiple Source to Pay applications, playing a key role in translating strategic transformation priorities into measurable operational outcomes. What you'll do Senior Application Development Lead (Gen AI) is a senior level position responsible for Set technical direction for Gen AI adoption across multiple applications or teams, defining reusable patterns, reference architectures, and best practices aligned with enterprise standards. Design, integrate, and evolve Gen AI capabilities (LLMs, APIs, agentic workflows, automation) in business critical applications, focusing on clear value, reliability, and responsible usage Own end to end delivery of Gen AI enabled features , from solution design and implementation through production rollout, support, and continuous improvement Collaborate daily with global and regional technology and business teams to deliver against regulatory, risk, and transformation priorities Apply agile engineering practices , leveraging iterative delivery, pragmatic architectural decisions, and emerging Gen AI/agentic tooling to accelerate outcomes Provide technical leadership and mentorship through hands on development, code reviews, and design guidance, raising the overall engineering bar Ensure solutions meet Citi standards for security, stability, resilience, and operational control, working closely with architecture, risk, and production support teams Continuously assess and improve system quality , balancing performance, cost, accuracy, and user experience in production Gen AI applications What we'll need from you Deep expertise in Large Language Models (LLMs) , including commercial and open-source models (e.g., OpenAI, Gemini, Claude, Llama), and selecting the right model for use case, cost, and performance constraints Hands on experience building Gen AI applications using modern frameworks such as LangChain, LangGraph, LlamaIndex, and Hugging Face, including agentic and multi step workflows Proven experience designing and implementing Retrieval Augmented Generation (RAG) systems , including vector databases (pgvector, Pinecone, Weaviate, FAISS, etc.) and advanced retrieval strategies (hybrid search, re ranking, metadata filtering) Strong understanding of prompt engineering, workflow design, and Gen AI optimization , balancing latency, cost, quality, and accuracy trade offs in production systems Solid grounding in ML/DL concepts , with hands on experience applying frameworks such as PyTorch and/or TensorFlow , including embeddings and model fine tuning where appropriate Experience deploying and operating production Gen AI systems , leveraging Docker, cloud native architecture, production APIs, and monitoring/observability tools , with an emphasis on reliability and scalability Strong hands on software engineering skills , including Python, FastAPI, async programming patterns , and building high performance AI powered APIs Understanding of AI system evaluation, safety, and governance , including hallucination handling, guardrails, feedback loops, and responsible AI considerations, combined with the ability to work independently and communicate effectively in agile environments What we can offer you This role offers the opportunity to shape how Generative AI is responsibly adopted across critical enterprise workflows, influencing both technology strategy and business outcomes. You'll work at the intersection of platform engineering, AI governance, and large scale transformation, with clear visibility and impact across the organization.We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretional annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster.

Salary: Competitive depending on experience Location: 2-3 days on-site at our Harwell office with travel to client site when required Contract type: Full-timepermanent - 37.5 hours A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as aSenior AI Generative Robotics Engineer you will be an essential part of our success. You'll work at thecutting edge of agentic and generative AI, building systems that move beyond lab demos and intoreal world deployment at pace. At Oxford Dynamics, you'll have the freedom to experiment in a fast moving environment, the responsibility to deliver, and the opportunity to shape howmulti agent AI systems operate in complex, constrained, and high trust environments. If you're excited byagent orchestration, VLLMs, and deploying AI where it matters, this role is built for you! Role Summary We're hiring a Test & AI Evaluation Lead to own how Oxford Dynamics validates its AI driven, mission critical systems - from multi agent orchestration and LLM outputs through to cloud infrastructure and real time user facing applications. You'll design and lead test approaches where correctness, resilience, and security matter as much as feature velocity. Working embedded with AI, Backend, Frontend, and DevOps, you'll shape how we validate agent behaviours, data pipelines, and end to end operational workflows - from research prototypes through to production deployments for Defence and Security customers. Quality is built in from day one, not inspected at the end. Key Responsibilities Define and own the end to end test strategy across AI, backend, frontend, and infrastructure layers. Establish testing standards appropriate for agentic AI systems, including non deterministic behaviour and probabilistic outputs. Ensure testing aligns with mission critical, safety conscious, and security first delivery expectations. Act as the primary quality authority across projects, advising engineering and product leadership on risk and readiness. AI & Data Focused Testing Design approaches for testing multi agent workflows, including orchestration logic, memory/state handling, and tool integrations. Define validation strategies for LLM outputs, including groundedness, hallucination detection, task success rates, and regression testing. Work with AI Engineers to embed evaluation metrics and pass/fail thresholds into pipelines. Validate data ingestion, transformation, and inference pipelines across structured and unstructured data sources. Automation & Tooling Drive a test automation first mindset, integrating tests into CI/CD pipelines (GitHub Actions, Argo CD). Oversee automated testing across API and service layers, UI (E2E and accessibility), and infrastructure and deployment workflows. Select, implement, and evolve testing tools and frameworks appropriate to modern cloud native and AI systems. Non Functional Testing Own performance, scalability, reliability, and resilience testing for distributed systems. Coordinate security testing activities in line with secure by design principles (e.g. IAM, secrets handling, data boundaries). Validate backup, disaster recovery, and failover scenarios alongside DevOps and Backend teams. Delivery & Collaboration Embed with delivery teams to ensure testing is planned early and executed continuously. Work closely with Product and Engineering to define clear acceptance criteria and definition of done. Provide clear, decision ready quality reporting to technical and non technical stakeholders. Support customer facing demonstrations, trials, and operational readiness assessments. Required Skills & Experience Proven experience as a Test Manager, Senior Test Lead, or equivalent on complex software systems. Strong track record of taking applications into production in regulated environments. Strong background in automated testing across APIs, services, and UIs, integrated into CI/CD pipelines. Experience testing distributed, cloud native systems (AWS, GCP, or Kubernetes), including performance, reliability, and resilience. Awareness of compliance frameworks (e.g. ISO 27001, NIST, OWASP). ISTQB Advanced / Test Manager certification or equivalent practical experience. SC Clearance or eligibility to obtain UK SC Clearance. Preferred Experience Experience in UK defence, public sector, or security environments. Experience testing AI/ML/LLM based systems, including non deterministic outputs. Exposure to agent based or workflow driven architectures. Soft Skills A pragmatic, delivery focused mindset - able to balance speed with rigour. Comfortable operating in fast moving, ambiguous, R&D heavy environments. Confidence challenging assumptions and raising quality risks early. Strong written and verbal communication, especially around complex technical risk. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self. Why This Role? You'll play a critical shaping role in how Oxford Dynamics delivers trustworthy, production ready AI systems into some of the most demanding operational environments there are. If you enjoy working close to the technology, influencing how systems are built - not just tested - and tackling the realities of validating AI driven software, this role gives you genuine ownership and impact.

Salary: Competitive depending on experience Location: 2-3 days on-site at our Harwell office with travel to client site when required Contract type: Full-timepermanent - 37.5 hours A note from the Founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high stakes environments in the world - defence, national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with all the team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day in the work we do. If you are excited by ownership, pace and purpose - and by building something that genuinely matters - we would love to hear from you. Who We Are Founded in 2020, Oxford Dynamics (OD) is a fast growing UK deep tech company developing AI and robotic systems designed to operate in mission critical environments. Our flagship AVIS (A Very Intelligent System) AI framework fuses multi modal data - text, imagery, telemetry and sensor feeds - enabling operators to interrogate complex information at speed and make better decisions under pressure. Our STRIDER robotic platform performs autonomous tasks in hazardous environments, protecting people while extending operational reach. Our ambition is simple but demanding: to converge AI and robotics so machines can sense, understand and act in complex, real world environments. We work with defence and security organisations internationally to help protect nations, infrastructure and lives. What you will be doing here/ why this role matters Oxford Dynamics is a small team who rely on a collaborative and positive approach and so the right attitude for this role is equally as important as experience. We are at an important stage and time in our growth, and as aSenior AI Generative Robotics Engineer you will be an essential part of our success. You'll work at thecutting edge of agentic and generative AI, building systems that move beyond lab demos and intoreal world deployment at pace. At Oxford Dynamics, you'll have the freedom to experiment in a fast moving environment, the responsibility to deliver, and the opportunity to shape howmulti agent AI systems operate in complex, constrained, and high trust environments. If you're excited byagent orchestration, VLLMs, and deploying AI where it matters, this role is built for you! Role Summary We're hiring a Test & AI Evaluation Lead to own how Oxford Dynamics validates its AI driven, mission critical systems - from multi agent orchestration and LLM outputs through to cloud infrastructure and real time user facing applications. You'll design and lead test approaches where correctness, resilience, and security matter as much as feature velocity. Working embedded with AI, Backend, Frontend, and DevOps, you'll shape how we validate agent behaviours, data pipelines, and end to end operational workflows - from research prototypes through to production deployments for Defence and Security customers. Quality is built in from day one, not inspected at the end. Key Responsibilities Define and own the end to end test strategy across AI, backend, frontend, and infrastructure layers. Establish testing standards appropriate for agentic AI systems, including non deterministic behaviour and probabilistic outputs. Ensure testing aligns with mission critical, safety conscious, and security first delivery expectations. Act as the primary quality authority across projects, advising engineering and product leadership on risk and readiness. AI & Data Focused Testing Design approaches for testing multi agent workflows, including orchestration logic, memory/state handling, and tool integrations. Define validation strategies for LLM outputs, including groundedness, hallucination detection, task success rates, and regression testing. Work with AI Engineers to embed evaluation metrics and pass/fail thresholds into pipelines. Validate data ingestion, transformation, and inference pipelines across structured and unstructured data sources. Automation & Tooling Drive a test automation first mindset, integrating tests into CI/CD pipelines (GitHub Actions, Argo CD). Oversee automated testing across API and service layers, UI (E2E and accessibility), and infrastructure and deployment workflows. Select, implement, and evolve testing tools and frameworks appropriate to modern cloud native and AI systems. Non Functional Testing Own performance, scalability, reliability, and resilience testing for distributed systems. Coordinate security testing activities in line with secure by design principles (e.g. IAM, secrets handling, data boundaries). Validate backup, disaster recovery, and failover scenarios alongside DevOps and Backend teams. Delivery & Collaboration Embed with delivery teams to ensure testing is planned early and executed continuously. Work closely with Product and Engineering to define clear acceptance criteria and definition of done. Provide clear, decision ready quality reporting to technical and non technical stakeholders. Support customer facing demonstrations, trials, and operational readiness assessments. Required Skills & Experience Proven experience as a Test Manager, Senior Test Lead, or equivalent on complex software systems. Strong track record of taking applications into production in regulated environments. Strong background in automated testing across APIs, services, and UIs, integrated into CI/CD pipelines. Experience testing distributed, cloud native systems (AWS, GCP, or Kubernetes), including performance, reliability, and resilience. Awareness of compliance frameworks (e.g. ISO 27001, NIST, OWASP). ISTQB Advanced / Test Manager certification or equivalent practical experience. SC Clearance or eligibility to obtain UK SC Clearance. Preferred Experience Experience in UK defence, public sector, or security environments. Experience testing AI/ML/LLM based systems, including non deterministic outputs. Exposure to agent based or workflow driven architectures. Soft Skills A pragmatic, delivery focused mindset - able to balance speed with rigour. Comfortable operating in fast moving, ambiguous, R&D heavy environments. Confidence challenging assumptions and raising quality risks early. Strong written and verbal communication, especially around complex technical risk. Why Oxford Dynamics? Join the most exciting growth area in the UK: AI and Robotics! Every member of the Oxford Dynamics team has a major impact on the products and services we provide. Regardless of job title you'll get to make a real difference and learn from colleagues about all areas of our business. Benefits Salary: negotiable based on experience and attitudes Rapid career progression with meaningful ownership of core systems Opportunity to shape the future of a fast growing, successful, early stage business Flexible working hours Hybrid working model Company pension (UK Government NEST scheme) with company contributions at 4% Private Healthcare 29 days holiday in addition to public holidays (Full Time Equivalent) Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self. Why This Role? You'll play a critical shaping role in how Oxford Dynamics delivers trustworthy, production ready AI systems into some of the most demanding operational environments there are. If you enjoy working close to the technology, influencing how systems are built - not just tested - and tackling the realities of validating AI driven software, this role gives you genuine ownership and impact.

Your Role As a Senior Platform Engineer, you'll own the infrastructure, pipelines, and tooling that underpin how Walr's engineers build and ship software. Working within a small, focused platform team, you'll be hands on in everything from cloud infrastructure to CI/CD to observability - with a clear north star: developer experience. You'll measure your success in the same way we do: cycle time, build performance, and the confidence our engineers feel in the systems they rely on. This role is about leadership in execution, ownership of outcomes, and shaping your product's future. How You'll Make an Impact Technical Excellence Design, build, and maintain Walr's cloud infrastructure on Microsoft Azure using Infrastructure as Code (Bicep), ensuring environments are consistent, auditable, and scalable across multiple regions. Own our CI/CD pipelines (GitHub Actions) end to end, from authoring and optimizing pipelines to establishing release engineering standards that enable fast, reliable, low friction deployments. Implement and evolve our observability stack, building out logging, metrics, tracing, and alerting solutions that give engineers clear signal when things go wrong and confidence when they don't. Champion developer experience as a measurable outcome - track and improve key indicators such as build times, pipeline duration, and deployment frequency, treating the engineering team as your customer. Execution & Ownership Proactively identify and resolve infrastructure and platform issues before they become incidents, owning system reliability with an SRE mindset. Evaluate and introduce tooling - including AI native and agentic developer tools - that meaningfully accelerates how engineers work, with a bias for evidence over enthusiasm. Document platform capabilities and decisions clearly, reducing tribal knowledge and enabling engineering teams to self serve with confidence. Collaboration Partner closely with backend and frontend engineers across squads to understand their pain points and translate them into platform improvements. Informally mentor engineers on platform and DevSecOps practices, raising the waterline of infrastructure literacy across the engineering organization. Contribute to security and compliance posture (SOC 2, ISO 27001), working alongside the engineering leads to ensure platform practices meet our obligations without creating unnecessary friction. Skills That Set You Up For Success 5+ years of experience in platform, infrastructure, or DevOps engineering in a cloud native environment. Expertise in Microsoft Azure - including Azure Container Apps, Azure Functions, AKS, Service Bus, Cosmos DB, networking, and identity. Strong proficiency with Infrastructure as Code using Terraform or Bicep, with a focus on maintainability and reuse. Experience designing, building, and optimizing CI/CD pipelines, preferably with GitHub Actions. Deep understanding of containerization (Docker) and orchestration. Experience implementing observability solutions - structured logging, distributed tracing, metrics dashboards, and alerting (Datadog, incident.io, Sentry). A demonstrable commitment to developer experience, ideally with experience measuring and improving engineering throughput metrics. Excellent communication skills - equally effective writing a runbook, explaining a trade off to a product team, or raising a concern with leadership. Bonus Points For Microsoft certifications (Azure Administrator, DevOps Engineer Expert, or Solutions Architect). Experience with FinOps and cloud cost optimization practices. Background in SRE disciplines - SLOs, error budgets, and structured incident management. Hands on experience with AI native or agentic developer tooling, whether adopting, evaluating, or building it. Scripting proficiency in PowerShell, Bash, or Python for automation and tooling work.

Overview The Role: The Enterprise CSM is a unique blend of a technical expert and strategic relationship builder. You will drive adoption within a portfolio of Fortune 5000 accounts, moving beyond traditional BI to help customers deploy AI Agents and Embedded Analytics. You'll be as comfortable discussing API authentication with a developer as you are discussing ROI with a CDO. What You'll Do Account Strategy: Be part of a focused team managing multiple Fortune 5000 accounts, responsible for driving adoption, tying usage to business problems, and building expansion opportunities through passive selling. Champion Agentic AI: Partner with customers to move from dashboards to agents, helping them leverage ThoughtSpot Agents and LLM-based workflows to automate data insights. Architect & Advise: Guide technical stakeholders through the development lifecycle of building high-performance data apps using our APIs and SDKs, while ensuring their data stack (Snowflake/Databricks/BigQuery) is optimized for AI-driven search. Voice of the Customer: Act as the primary technical point of contact, communicating requirements and use cases in a way that is actionable for ThoughtSpot's Product, Engineering, and Marketing teams. Relationship Management: Foster robust relationships through proactive champion building, acting as the bridge between human business needs and complex data technicalities. Bridge Business and Technology: Translate customer business goals into technical requirements and, conversely, explain the business value of technical features to stakeholders. Technical Enablement: Run advanced workshops and live demos that showcase the "Art of the Possible" with AI, embedding, and agentic analytics. What Sets You Apart A Consultative Problem Solver: You have a knack for understanding complex business challenges and prescribing elegant technical solutions. Technically Curious: You have a deep passion for the data space and are constantly learning about new technologies like LLMs and Generative AI. Incredible Communicator: You can command a room of data architects and then pivot to explain a technical concept in simple terms to a business leader. Proactive & Eager to Help: You are a natural problem solver who enjoys diving in to help customers with their initial technical hurdles. Language Skills: Fluent in English and capable of speaking European languages (e.g., French, Spanish, German) in a business environment. What You Bring 5+ years in a customer-facing technical role (Technical CSM, Solutions Architect, or Sales Engineer) within the Data/SaaS space. Analytics & AI Depth: Strong knowledge of the modern data stack (Snowflake/BigQuery/Databricks) and an understanding of LLM-based applications or AI Agents. Developer Literacy: Proficiency in SQL and familiarity with JavaScript/TypeScript frameworks (React, Angular, or Vue) for supporting embedded use cases. Integration Knowledge: Comfort discussing REST APIs, webhooks, and security protocols like SAML/OIDC. The "Consultative Edge": Ability to translate complex technical "how-to" into strategic "why-it-matters" for executive stakeholders. Education: Master's/Bachelor's Degree preferred but not required. Mandatory and Required Skills for All ThoughtSpot Roles Spotters are expected to demonstrate AI literacy and workflow integration, including the ability to: Comfortably and confidently integrate artificial intelligence into daily workflows to increase productivity and quality. Hands-on experience leveraging AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality. Describe experience using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions. Write effective prompts to obtain accurate and creative results from AI tools. Spotters are expected to exemplify these key traits and AI Mindset: Curiosity in exploring new AI tools Adaptability to quickly learn and implement new, emerging AI technologies Critical thinking to know when to identify when AI should be used versus when human judgement is necessary This combination of curiosity, adaptability, and discernment defines the AI mindset and is required for every role at ThoughtSpot. AI Mindset for All Spotters At ThoughtSpot, we believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work. All Spotters are expected to experiment with ThoughtSpot's AI tools and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI. Hybrid Work at ThoughtSpot This office-assigned role is available as a hybrid position, reporting to the office in the UK - London. Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office expectation of 2-3 days per week. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams. ThoughtSpot for All At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you're a strong match, we encourage you to apply. What Makes ThoughtSpot a Great Place to Work? ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action, on a mission to make the world more fact driven. We hire people with unique identities, backgrounds, and perspectives; this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you're excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that's right for you. About ThoughtSpot The world's most innovative companies turn to ThoughtSpot's AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture. At ThoughtSpot, we're a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That's why we build products that make asking and answering data questions as natural as having a conversation.

Job Description Job Location: Belfast Salary: Competitive (based on experience) Level: Accenture will be hiring at Assoc Manager level Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific client requirement. As a team Join Accenture and help transform leading organisations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture Technology powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for our clients. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialised skills and tailored solutions. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. The Opportunity Do you lead with both technical depth and delivery excellence? At Accenture Technology, we're looking for an engineering focused Delivery Lead who combines genuine technical credibility with a track record of leading complex programmes and the curiosity to drive teams forward in an AI enabled world. You'll be embedded in real client engagements across our Global Delivery Network - working with some of the world's most ambitious organisations to deliver technology transformation that genuinely matters. You'll bring the confidence to engage in architecture conversations, contribute meaningfully to technical decisions, and inspire engineering teams through a shared understanding of what great delivery looks like. With access to Accenture's unmatched global resources, deep partnerships with the world's leading technology companies, and a culture built on continuous innovation, this is a role for someone who wants to shape the future of engineering delivery - not just manage it. What You'll Do You'll own end to end delivery - accountable for quality, pace, and client confidence from kick off to go live. Here's how that breaks down: Lead Drive delivery of high quality technology transformation programmes, on time and on budget Lead multi functional, geographically distributed engineering teams across the full delivery lifecycle - design, build, test, and deploy Coach and develop your team, creating an environment where AI tooling and modern engineering practices are adopted thoughtfully and with measurable impact Act as a trusted technology delivery partner for clients - bridging the gap between engineering reality and business expectation Plan & Decide Actively contribute to technical decisions - evaluating architectural trade offs, build vs. buy options, and their downstream impact on delivery risk and pace Use AI assisted planning tools to improve estimation accuracy, forecast risks earlier, and drive more data informed sprint and programme decisions Develop and manage end to end delivery plans across Agile, Scaled Agile, Kanban, and Waterfall methodologies Proactively manage Risk, Assumptions, Issues, and Dependencies (RAID) - using AI tooling to surface patterns and predict blockers before they land Lead governance, stakeholder reporting, and budgetary control with clarity and accountability Shape the Future of Engineering Delivery Champion AI enabled delivery practices within your teams - from AI assisted backlog refinement and sprint forecasting to automated status reporting and retrospective insight Stay ahead of where engineering delivery is going - agentic development, AI in the SDLC, DevSecOps, platform engineering - and bring those practices into your programmes Drive a culture of continuous improvement, where teams are empowered to experiment, iterate, and raise the bar on how software is built and shipped Contribute to Accenture's engineering delivery community, sharing what works and influencing practice at scale Qualification Proven track record of successfully leading end to end technology delivery programmes at scale, including budget ownership Strong engineering background - able to actively engage in technical design, architecture, and solution decisions, not just translate between teams Solid experience across Agile (Scrum, Kanban, Scaled Agile/SAFe) and Waterfall delivery methodologies Experienced people leader - able to build, motivate, and develop high performing, cross functional engineering teams Excellent stakeholder management skills - confident engaging senior client and internal leaders on both technical and commercial dimensions Strong organisational skills, able to manage multiple priorities and workstreams simultaneously Hands on user of AI enabled delivery tooling who actively champions adoption across their teams - able to speak concretely to how it has changed the way you plan, report, and lead AI Enabled Engineering Leadership (Essential at CL8) Practical experience using AI tools to improve delivery outcomes - e.g. AI assisted risk identification, sprint forecasting, reporting automation, or retrospective analysis Ability to coach teams on responsible and effective use of AI in a delivery context, maintaining human judgement and accountability on high stakes decisions Awareness of AI's evolving role in the SDLC - from AI assisted code generation and testing through to agentic workflows and autonomous delivery tooling Understanding of where AI adds genuine value in engineering delivery - and where human oversight remains essential Set Yourself Apart Proven ability to manage complex multi vendor or multi team delivery environments Experience influencing senior stakeholders and navigating organisational complexity Demonstrable knowledge of modern engineering practices - DevSecOps, SRE, platform engineering, modern architecture Relevant Cloud and Delivery certifications (e.g. SAFe, AWS, PMP, Prince2) Strong Technical and Emotional Quotient - able to hold both the engineering depth and the human dimensions of delivery What's in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 25 days of vacation per year, access to app based fitness classes and discounts on a range of gyms, private medical insurance and three days leave per year for charitable work of your choice! Flexibility and mobility are required to deliver this role to deliver the first class services we are known for. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Job Title: Full Stack Engineer Salary: £60k-£80k + Equity Location: Cambridge, UK Company Description: Lichen AI - Early stage agentic platform for AI discovery Job Description: As the first full time engineer, you will transform a working prototype into a production grade enterprise SaaS. You'll build robust backends, design intuitive interfaces for complex AI outputs, and establish foundational engineering practices. Working directly with an expert founding team, you will ensure the platform is secure, reliable, and ready for global enterprise customers. Why this role is remarkable Join as the first founding engineer with a significant equity stake and a clear path to technical leadership as the company scales. Work alongside a world class founding team including the former Chair of the UK Government's AI Council and Amazon Alexa's speech recognition lead. Build a mission driven platform that uses agentic AI to amplify human insight rather than replacing it, solving a critical adoption gap for enterprise clients. Responsibilities Transition a high potential prototype to a production grade platform by building secure, scalable backend systems and automated deployment pipelines. Lead the end to end development of the user interface, making complex AI generated insights legible and actionable for non technical business users. Implement enterprise grade security and compliance standards including ISO 27001 and GDPR to ensure safe handling of sensitive client data. The ideal candidate Has 3 8 years of experience shipping production web applications using modern JavaScript/TypeScript (React) and Python (FastAPI). Demonstrates strong proficiency in cloud infrastructure, specifically AWS, and designing robust database structures and data pipelines. Thrives in a small, fast paced startup environment and possesses a genuine interest in human centered AI that enhances domain expertise.