ai engineer

platform engineer

lead software engineer

engineering manager

ai product manager

ai enablement lead

Travtus

<div><h1 class="jobSectionHeader">Solution Consultant &ndash; Client Solutions &amp; Platform Enablement</h1>
London (On-site, Farringdon office)
Full-time | &pound;70,000 &ndash; &pound;85,000<h2 class="jobSectionHeader">
Job Summary</h2>
We&rsquo;re looking for a Solution Consultant who combines structured business analysis with strong technical fluency and deep platform ownership.
This role sits at the intersection of clients, product, and engineering. You will lead discovery, design scalable solutions using the Travtus Everyday (AI) platform, configure workflows and automation logic, and ensure successful deployment and adoption.
You will operate as a trusted advisor to clients &mdash; understanding their operational challenges in depth and translating them into either structured product requirements or robust platform configurations. You&rsquo;ll need to be comfortable discussing APIs, integrations, workflows, and system behaviour with technical teams, while maintaining credibility with senior business stakeholders.
This is not a purely functional BA role, nor a pure pre-sales role. It is a hybrid position requiring business structure, systems thinking, and hands-on solution design capability.<h2 class="jobSectionHeader">
About Travtus</h2>
Travtus is transforming the Housing Industry with our Everyday (AI) platform. We bring intelligence and automation together in one place so teams can move faster and work smarter. By delivering everyday AI decisions and workflows across the systems operators already use, we help organisations improve efficiency while enhancing the resident experience.<h2 class="jobSectionHeader">
About the Role</h2><h3 class="jobSectionHeader">
Client Discovery &amp; Structured Analysis</h3><ul><li>
Lead structured discovery workshops with operational and senior stakeholders.</li><li>
Understand workflows, constraints, data structures, integrations, and success metrics.</li><li>
Translate ambiguous business problems into clear process maps, decision trees, and solution hypotheses.</li><li>
Challenge assumptions and guide clients toward scalable, product-aligned solutions.</li></ul><h3 class="jobSectionHeader">
Solution Design &amp; Platform Configuration</h3><ul><li>
Design and configure workflows, rules, automation logic, and system mappings within the Travtus platform.</li><li>
Convert business requirements into structured configuration and system behaviour.</li><li>
Think in decision trees, edge cases, exception handling, and data dependencies.</li><li>
Ensure solutions are scalable, maintainable, and aligned with the long-term product vision.</li><li>
Own solution quality from design through deployment.</li></ul><h3 class="jobSectionHeader">
Technical Collaboration &amp; Integrations</h3><ul><li>
Work closely with Engineering and Product when new functionality or enhancements are required.</li><li>
Translate client requirements into well-structured user stories and acceptance criteria.</li><li>
Confidently discuss APIs, data schemas, integrations, and system interactions.</li><li>
Support troubleshooting of configuration and data-related issues during implementation.</li><li>
Validate that integrations and automation behave as intended in real-world scenarios.</li></ul><h3 class="jobSectionHeader">
Testing, Validation &amp; Business Outcomes</h3><ul><li>
Define acceptance criteria rooted in real business use cases.</li><li>
Support UAT and validate that configured solutions reflect documented intent.</li><li>
Identify gaps between expected and actual system behaviour.</li><li>
Ensure measurable client value is delivered through effective solution design.</li></ul><h3 class="jobSectionHeader">
Client Training &amp; Enablement</h3><ul><li>
Develop and deliver structured training sessions for client teams.</li><li>
Create clear documentation and enablement materials.</li><li>
Ensure clients understand both how the platform works and how to optimise its impact.</li><li>
Support long-term adoption through clear guidance and workflow embedding.</li></ul><h3 class="jobSectionHeader">
Product Feedback &amp; Continuous Improvement</h3><ul><li>
Identify recurring patterns in client needs and feed structured insights into the product roadmap.</li><li>
Balance bespoke requests with platform scalability.</li><li>
Contribute to internal best practices, reusable configuration frameworks, and implementation playbooks.</li><li>
Help improve onboarding, deployment, and documentation processes.</li></ul><h2 class="jobSectionHeader">
Requirements</h2>
We&rsquo;re looking for someone analytical, technically fluent, and client-confident &mdash; capable of moving seamlessly between business strategy and system logic.<h3 class="jobSectionHeader">
Must-Have</h3><ul><li>
Proven experience in a Solution Consultant, Implementation Consultant, Technical Business Analyst, or similar hybrid SaaS role.</li><li>
Strong business analysis capability &mdash; including structured discovery, process modelling, and requirement documentation.</li><li>
Experience working with complex SaaS platforms.</li><li>
Hands-on experience configuring systems, workflows, or rule-based automation.</li><li>
Comfort discussing APIs, integrations, and data structures (no coding required, but strong technical fluency expected).</li><li>
Ability to translate business needs into structured user stories and acceptance criteria.</li><li>
Experience supporting UAT and business-led validation.</li><li>
Strong stakeholder management skills, including senior client exposure.</li><li>
Excellent communication and presentation skills.</li><li>
Confident operating in a startup or scale-up environment with evolving requirements.</li></ul><h3 class="jobSectionHeader">
Nice-to-Have</h3><ul><li>
Experience with AI-driven, workflow-heavy, or automation platforms.</li><li>
Exposure to REST APIs, webhooks, Postman, or integration tools.</li><li>
Experience in housing, property, or regulated industries.</li><li>
Experience developing training programmes or enablement frameworks.</li><li>
Exposure to QA processes or deployment cycles.</li></ul><h2 class="jobSectionHeader">
About the Team</h2>
We&rsquo;re a highly collaborative, product-driven team that values clarity, ownership, and impact. Solution Consultants play a central role in connecting client reality with product evolution, ensuring business intent is accurately translated into scalable technical solutions.
We believe in the value of in-person collaboration, with team members spending at least three days a week in our modern Farringdon office.<h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Be part of a fast-growing, mission-driven startup</li><li>
Hands-on exposure to applied AI in a real-world, high-impact sector</li><li>
High ownership and visibility across client and product teams</li><li>
Private healthcare</li><li>
Pension</li><li>
Deliveroo allowance</li></ul></div>

Solution Consultant – Client Solutions & Platform Enablement

Cartesia

<div><h1 class="jobSectionHeader">About Cartesia</h1>
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.<h2 class="jobSectionHeader">
The Role</h2>
We're looking for a Product and Research Operations Manager to run the operational backbone of Cartesia's Voice function - supporting voice production for customers, talent sourcing and logistics, and voice delivery for Go-To-Market and Customer Success. You'll work directly alongside our Voice Production Lead and Voice Library Lead, and provide hands-on support across their respective work-streams.
Part of your time will go toward cross-functional ad-hoc operations, including supporting growth initiatives.<h2 class="jobSectionHeader">
Your Impact</h2><ul><li>
Voice Production &amp; Library - Support execution of voice production runs alongside the Voice Production Lead. Over time, you'll own day-to-day production and library health reporting, take on more locales and volume, and build automations to streamline the process.</li><li>
Sourcing &amp; Talent logistics - Support voice sourcing alongside the Voice Library Lead. Build the systems to source, vet, and create voices for the voice library with voice acting talent as well as vendors.</li><li>
Customer Voice Delivery &amp; Enablement - Own customer-facing voice engagements end to end, driving customers to be successful with our models. Drive voice-related GTM enablement.</li><li>
Ad-hoc Strategy and Growth Projects - Support ad-hoc strategy &amp; operations work, including helping run events and marketing initiatives for Cartesia in London. Support Cartesia&rsquo;s growth in international markets on a project by project basis.</li></ul><h2 class="jobSectionHeader">
What We're Looking For</h2><ul><li>
3 - 6 years as an operator at a high-growth tech startup or in strategy consulting (MBB or similar)</li><li>
High agency - a proactive self-starter who can operate autonomously to get things done in ambiguous environments</li><li>
Customer-facing chops, with the ability to drive conversations with executives</li><li>
Semi-technical - comfortable using tools like Cursor, Claude Code, etc to build lightweight systems, and understands core concepts of system design</li><li>
Genuine interest in operating with founder-level hunger, and real enthusiasm for voice and audio technology - you have opinions on it, not just interest</li></ul>
What makes a strong candidate:<ul><li>
Experience in the AI industry, especially in AI Strategy and Operations or Product Operations roles</li><li>
A track record of going out of your way to get things done proactively</li><li>
Builds lightweight systems autonomously</li><li>
Detail-oriented under volume; maintains attention to detail even with large volume of tasks</li><li>
Credible in front of GTM teams and customers without needing a lead in the room</li></ul><h1 class="jobSectionHeader">
More Details</h1>
In-office policy: We&rsquo;re an in-person team based out of offices in San Francisco, London and Bangalore. We love being in the office, hanging out together, and learning from each other every day.
Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don&rsquo;t sacrifice quality or design along the way.
We support each other. We have an open &amp; inclusive culture that&rsquo;s focused on giving everyone the resources they need to succeed.<h1 class="jobSectionHeader">
Our Benefits (US Employees Only)
</h1>Compensation Competitive base salary alongside attractive equity package.
Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
Parental Leave 9 weeks paternity &amp; 12 weeks maternity leave
401(k)
Commuter Allowance A monthly stipend to help you get to and from the office.
Flexible PTO Take as much time as you need to recharge your batteries.
Meals &amp; Snacks Lunch, dinner and plenty of snacks, provided daily.
Your own personal Yoshi<h2 class="jobSectionHeader">
Our Commitment to Equal Opportunity</h2>
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.</div>

Product and Research Operations Manager, Voices

Elsevier

<div>Would you like to shape the future of end user technology services and drive enterprise-wide transformation through AI, automation, and innovation?
Are you passionate about building high-performing global teams, delivering operational excellence, and creating exceptional colleague experiences at scale?
About our Team
Technology Infrastructure &amp; Operations (TIO) provides the technology foundation that enables Elsevier's global business. With over 400 colleagues across 15 countries, TIO manages the infrastructure, operational services and enterprise platforms that support approximately 9,000 employees worldwide.
 
 
End User Services is a key function within TIO, delivering secure, reliable and modern workplace technology while driving engineering excellence, operational resilience, AI enablement and enterprise transformation. The resource model is a combination of FTEs and trusted partner organizations augmenting our bench.
About the Role
Reporting to the Senior Vice President, Technology Infrastructure &amp; Operations, you will lead globally distributed engineering and operational teams spanning Enterprise Engineering, Network Engineering, Service Assurance and Service Delivery. You will shape the future of Elsevier's digital workplace by balancing operational excellence with innovation, driving automation, AI-enabled services, technology modernization and continuous improvement. You will also shape how the function itself operates in an AI-enabled environment, embedding AI-driven ways of working across engineering, service delivery and support teams.
Responsibilities
<ul><li>Develop and deliver the End User Services strategy and multi-year roadmap aligned to Elsevier and Technology Infrastructure &amp; Operations priorities.
</li><li>Translate strategic objectives into measurable operational outcomes, balancing transformation with operational excellence.
</li><li>Drive adoption of emerging technologies, including AI and automation, to enhance colleague experience and business performance.
</li><li>Establish governance and operating models for responsible AI adoption, balancing innovation with security, compliance and risk management.
</li><li>Lead global Engineering, Enterprise Engineering, Network Engineering, Service Assurance, Service Delivery and 24/7 TechDesk teams.
</li><li>Drive service quality, resilience, security and operational performance through robust governance, metrics and continuous improvement.
</li><li>Lead strategic initiatives across digital workplace technologies, collaboration platforms, cloud services, device management and AI-enabled solutions.
</li><li>Manage budgets, resources, investment priorities and vendor relationships to deliver sustainable business outcomes.
</li></ul>Requirements
<ul><li>Significant experience leading large-scale technology operations within a complex global organisation.
</li><li>Proven ability to develop strategy while delivering operational excellence across multiple technology disciplines.
</li><li>Strong knowledge of digital workplace technologies, cloud services, IT service management, governance and information security.
</li><li>Experience leading technology and organisational transformation, including AI-enabled capabilities.
</li><li>Strong stakeholder management, communication and influencing skills.
</li><li>Commercial and financial acumen, including budget, resource and vendor management.
</li><li>Track record of building inclusive, high-performing teams.
</li><li>Sound judgement on the practical application of AI and experience developing AI capability within organisations.
</li></ul>Other
<ul><li>Certifications: ITIL preferred
</li><li>BS Engineering/Computer Science or equivalent experience required
</li><li>Language: English (fluent). Additional languages are a plus.
</li><li>Travel: Up to 20% (domestic and international).
</li></ul>Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals&rsquo; advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. 

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Head of End User Services

NewRocket

<div>Agentic AI Architect-Anthropic Partnership

Why Us

NewRocket is proud Anthropic partner/vendor, expanding our ability to help enterprises responsibly adopt and operationalize Claude-powered AI solutions. Through this relationship, NewRocket is building advanced capabilities in generative AI, agentic workflows, secure enterprise knowledge experiences, and AI-enabled automation. Our teams apply Anthropic-aligned practices in prompt and context engineering, retrieval-augmented generation (RAG), tool use, structured outputs, model evaluation, safety, governance, and human-in-the-loop controls.

For an Agentic AI Architect, this partnership represents an opportunity to work at the forefront of enterprise AI&mdash;designing scalable, secure, and high-value solutions that connect Claude and other AI technologies with ServiceNow, enterprise data, business processes, and mission-critical workflows.

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.

Travel to clients and conferences as needed.

We #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

The Role

NewRocket is hiring an experienced Agentic AI Architect to support a large global client and help shape, design, and deploy enterprise AI solutions.

This role combines AI/ML architecture, generative AI engineering, data engineering, cloud solution design, and technical leadership. You will be responsible for defining scalable architectures for AI and machine learning applications, including predictive analytics, natural language processing, retrieval-augmented generation (RAG), intelligent automation, and agentic AI systems.

The ideal candidate brings strong hands-on expertise in Python, SQL, cloud services, databases, big-data technologies, and modern machine learning frameworks. You will also have practical experience designing LLM-powered applications that safely connect models to enterprise knowledge, systems, APIs, and workflows.

You will work closely with client stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers to translate business needs into secure, reliable, and production-ready AI solutions.

We are #GoingBeyond. Come join our Crew!

What You Will Be Doing

AI/ML Architecture &amp; Solution Delivery
<ul>
<li>Architect, develop, deploy, and maintain scalable AI and machine learning solutions for enterprise use cases.</li>
<li>Define end-to-end solution architectures spanning data ingestion, data preparation, model selection, orchestration, APIs, workflow integrations, user experiences, monitoring, and governance.</li>
<li>Partner with business and technical stakeholders to identify high-value AI opportunities and translate requirements into actionable technical designs and delivery roadmaps.</li>
<li>Design solutions for predictive analytics, classification, clustering, forecasting, anomaly detection, recommendation, and intelligent automation.</li>
<li>Establish technical standards, reference architectures, reusable patterns, and best practices for enterprise AI delivery.</li>
<li>Lead technical discovery, architecture workshops, design reviews, proof-of-concepts, and client demonstrations.</li>
</ul>
Generative AI, Anthropic &amp; LLM Engineering
<ul>
<li>Design and implement enterprise generative AI applications using Claude, the Anthropic API, and other LLM platforms when appropriate for the business use case.</li>
<li>Apply effective prompt and context-engineering practices, including instruction design, few-shot examples, role definition, structured inputs and outputs, response constraints, and long-context management.</li>
<li>Architect retrieval-augmented generation (RAG) solutions that securely ground model outputs in approved enterprise documents, knowledge bases, databases, and other data sources.</li>
<li>Design document ingestion, chunking, embedding, vector search, retrieval, reranking, citation, and response-generation patterns for enterprise knowledge workflows.</li>
<li>Build and integrate AI capabilities using structured outputs, tool use/function calling, APIs, and workflow orchestration.</li>
<li>Assess and recommend the appropriate balance of LLMs, traditional machine learning, deterministic automation, enterprise search, and human decision-making for each use case.</li>
<li>Stay current on Anthropic platform capabilities, Claude releases, Anthropic implementation guidance, responsible AI principles, and enterprise AI best practices.</li>
<li>Complete relevant Anthropic partner enablement, technical training, and product education as available through NewRocket's partnership.</li>
<li>Travel to clients and conferences as needed.</li>
</ul>
Agentic AI &amp; Workflow Orchestration
<ul>
<li>Architect and implement agentic AI systems that can reason over enterprise context, use authorized tools, execute multi-step tasks, and coordinate work across enterprise applications.</li>
<li>Design AI agents with defined roles, task boundaries, tool permissions, memory and context strategies, approval gates, fallback paths, and escalation mechanisms.</li>
<li>Develop agentic workflows that integrate with ServiceNow, enterprise APIs, cloud services, databases, collaboration platforms, and operational systems.</li>
<li>Implement human-in-the-loop controls for sensitive, high-impact, low-confidence, or exception-based actions.</li>
<li>Design safeguards to prevent unintended tool execution, unauthorized data access, prompt injection, unsafe outputs, and uncontrolled autonomous behavior.</li>
<li>Evaluate agent effectiveness through task-completion rates, quality, reliability, latency, cost, safety, and user-adoption measures.</li>
</ul>
Machine Learning, NLP &amp; Data Science
<ul>
<li>Develop, train, validate, deploy, and monitor machine learning models for predictive analytics, classification, clustering, and related use cases.</li>
<li>Implement AI and ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li>
<li>Develop NLP capabilities using Hugging Face transformer models and cloud AI services for text classification, summarization, sentiment analysis, entity extraction, and document intelligence.</li>
<li>Evaluate, adapt, and where appropriate fine-tune open-source or client-approved models for targeted use cases; apply prompt engineering, RAG, and tool use as preferred strategies when model fine-tuning is not appropriate or available.</li>
<li>Work with large language models for conversational AI, text generation, summarization, knowledge assistance, workflow automation, and decision support.</li>
<li>Build data-processing and feature-engineering pipelines that support reliable model training, testing, deployment, and monitoring.</li>
</ul>
Cloud, Data Engineering &amp; Platform Integration
<ul>
<li>Design and implement AI solutions using cloud platforms including AWS (e.g., SageMaker, Lambda, S3), Microsoft Azure, and Google Cloud Platform (e.g., Vertex AI).</li>
<li>Develop integrations between AI services, ServiceNow, enterprise applications, APIs, identity providers, databases, document repositories, and data platforms.</li>
<li>Build supporting services, APIs, microservices, automation logic, and integration components required to operationalize AI solutions.</li>
<li>Work with big-data technologies such as Apache Spark and Snowflake for large-scale data processing, analytics, and AI data pipelines.</li>
<li>Design and optimize ETL/ELT pipelines for data ingestion, transformation, validation, quality management, governance, and observability.</li>
<li>Use SQL, MySQL, PostgreSQL, MongoDB, and comparable technologies for data modeling, database management, query optimization, and data warehousing.</li>
<li>Apply secure engineering practices for authentication, authorization, secrets management, encryption, logging, error handling, and access controls.</li>
</ul>
AI Quality, Governance &amp; Responsible AI
<ul>
<li>Establish evaluation frameworks, test suites, representative datasets, and regression-testing practices for AI, ML, and agentic solutions.</li>
<li>Measure and optimize solution quality across relevance, accuracy, groundedness, safety, task completion, model behavior, latency, cost, reliability, and user experience.</li>
<li>Implement observability, monitoring, tracing, alerting, and feedback loops for production AI applications.</li>
<li>Define practical governance approaches for data privacy, sensitive-data handling, model access, auditability, model limitations, and responsible AI usage.</li>
<li>Implement controls for role-based access, data permissions, grounded responses, source attribution, output validation, exception handling, and human review.</li>
<li>Document architecture decisions, AI-system behavior, limitations, risk controls, operating procedures, and support requirements.</li>
</ul>
ServiceNow, Automation &amp; Enterprise Experience
<ul>
<li>Design AI-enabled workflow automations and intelligent experiences within ServiceNow and connected enterprise ecosystems.</li>
<li>Support chatbot, virtual-agent, employee-support, customer-service, IT operations, knowledge-management, and workflow-automation use cases.</li>
<li>Integrate AI solutions with ServiceNow capabilities such as workflow automation, IntegrationHub, Flow Designer, Virtual Agent, Now Assist, AI Agents, knowledge management, and enterprise data sources, where applicable.</li>
<li>Develop AI automation solutions using collaboration platforms and cloud AI services, including Microsoft Teams and Azure AI, where appropriate.</li>
<li>Contribute reusable implementation patterns, agent designs, integration components, evaluation assets, and accelerators that strengthen NewRocket's AI Foundry capabilities.</li>
</ul>
Analytics &amp; Visualization
<ul>
<li>Create interactive data visualizations and executive-ready reporting using tools such as Tableau and Power BI.</li>
<li>Develop dashboards and measurement frameworks that help stakeholders understand AI adoption, workflow outcomes, business value, operational performance, and model quality.</li>
<li>Support the definition and tracking of KPIs that demonstrate measurable value from AI-enabled solutions.</li>
</ul>
What You Bring Along
<ul>
<li>10+ years of experience applying AI, machine learning, data science, software engineering, or intelligent automation technologies to practical enterprise use cases.</li>
<li>Strong coding expertise in Python and SQL, with hands-on experience using ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li>
<li>Demonstrated experience architecting or delivering AI/ML, LLM, RAG, conversational AI, agentic AI, or AI-powered automation solutions.</li>
<li>Strong understanding of algorithms, object-oriented programming, functional design principles, software architecture, and API-based integration patterns.</li>
<li>Hands-on experience with LLM concepts and application-development patterns, including prompt engineering, context management, tokens, embeddings, vector search, RAG, tool use, structured outputs, and model evaluation.</li>
<li>Proficiency with data-science libraries such as Pandas, NumPy, Matplotlib, and Seaborn.</li>
<li>Hands-on experience with cloud platforms such as AWS, Azure, and/or Google Cloud.</li>
<li>Experience with big-data processing and cloud data platforms, including Apache Spark and Snowflake.</li>
<li>NLP experience using Hugging Face, transformer models, cloud AI services, or comparable technologies.</li>
<li>Strong understanding of database management, query optimization, data warehousing, ETL/ELT pipelines, and data-quality practices.</li>
<li>Experience with data visualization tools such as Tableau and Power BI.</li>
<li>Knowledge of responsible AI practices, including privacy, security, human oversight, hallucination mitigation, prompt-injection defenses, model limitations, and governed deployment.</li>
<li>Strong analytical, architectural, problem-solving, communication, and stakeholder-management skills.</li>
<li>Ability to collaborate effectively across client, consulting, engineering, product, data, and AI/ML teams.</li>
<li>Ability to learn and adapt quickly as AI technologies, enterprise requirements, and client needs evolve.</li>
</ul>
Preferred Qualifications

Anthropic &amp; Claude Experience
<ul>
<li>Hands-on experience with Claude, the Anthropic API, Anthropic Console, Claude Code, or Anthropic-focused implementation guidance.</li>
<li>Completion of Anthropic Academy courses, partner enablement, technical training, or equivalent experience building Claude-powered enterprise applications.</li>
<li>Experience using Claude capabilities such as long-context processing, document analysis, tool use, structured outputs, and enterprise knowledge workflows.</li>
<li>Familiarity with Model Context Protocol (MCP) concepts and secure patterns for connecting AI applications to enterprise tools and data sources.</li>
</ul>
Agentic AI &amp; LLM Operations
<ul>
<li>Experience designing AI agents, multi-agent systems, AI orchestration workflows, and human-in-the-loop operating models.</li>
<li>Experience with LLM application frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or comparable frameworks.</li>
<li>Experience with vector databases, semantic retrieval, enterprise search, embeddings, document ingestion, reranking, and RAG evaluation.</li>
<li>Familiarity with AI observability, tracing, prompt/version management, evaluation frameworks, guardrails, model monitoring, and cost optimization.</li>
<li>Experience with MLOps, LLMOps, CI/CD, Docker, Kubernetes, infrastructure as code, and production cloud deployment practices.</li>
</ul>
Education
<ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence/Machine Learning, Engineering, or a related technical field; equivalent relevant experience will also be considered.</li>
<li>Advanced degree or relevant AI, cloud, data, ServiceNow, or Anthropic certifications are a plus.</li></ul> 


We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.</div>

Agentic AI Architect-Anthropic-UK

BlackRock

<div>Location: London, England Team: Technology Product Job Requisition #: R266270 Date posted: Aug. 27, 2026</div>
 <div><h2 class="jobSectionHeader">Job description</h2>
<div>About this role
About Aladdin Data (AD)
Data is at the heart of Aladdin and increasingly the ability to acquire, govern, analyze, and derive insights from data is a key differentiator for BlackRock and our clients. The Aladdin Data (AD) team is responsible for the firm's data ecosystem, ensuring data can be discovered, trusted, accessed, and used effectively across investment, operations, analytics, AI, and client solutions.
Our mission is to build and operate the capabilities, governance, and workflows that enable data producers and consumers across BlackRock to efficiently share and leverage high-quality data at scale.
AD supports four strategic outcomes that together advance BlackRock's data strategy:
<ul><li>Deliver high-quality, trusted data products and services that power investment processes, operational workflows, and client solutions.
</li><li>Enable data producers to publish and distribute data through a scalable marketplace, making both Aladdin and BlackRock-generated content easily discoverable and consumable.
</li><li>Provide well-governed data that fuels AI, analytics, and emerging digital capabilities across the firm.
</li><li>Offer common standards, tooling, governance, and reusable services that allow teams to focus on creating business value rather than building bespoke data infrastructure.
</li></ul>The team builds common standards, governance, tooling and reusable services that help data producers publish high-quality data and help consumers find, trust and use it without building bespoke infrastructure.
About this role
We are building the BlackRock Data Office within Aladdin Data to enable trusted, reusable and AI-ready data across Technology &amp; Operations through the firm&rsquo;s Data Marketplace.
We are looking for a Vice President, Data Product Management to help define, deliver and drive adoption of marketplace capabilities spanning onboarding, governance, stewardship, discovery, access, quality and reusable data products.
Core Responsibilities
<ul><li>Product strategy &amp; roadmap &ndash; Define the vision, roadmap and priorities for marketplace capabilities supporting Technology &amp; Operations.
</li><li>Delivery &amp; execution &ndash; Translate business and governance needs into product features, measurable outcomes and delivery plans.
</li><li>Backlog ownership &ndash; Prioritize the roadmap and engineering backlog based on user needs, adoption goals and strategic value.
</li><li>Stakeholder management &ndash; Partner across Product, Engineering, Operations, Risk, Compliance and business teams to align delivery with priorities.
</li><li>Adoption &amp; enablement &ndash; Drive onboarding, documentation, demos, release readiness and reuse of marketplace capabilities.
</li><li>AI &amp; innovation &ndash; Shape capabilities that support AI-ready data, automation and scalable governance.
</li></ul>Required Experience
<ul><li>Bachelor&rsquo;s degree in a technology, data, business or related discipline.
</li><li>8+ years in Product Management, Data Product Management, Data Governance or a related discipline.
</li><li>Experience delivering enterprise data, governance, stewardship or marketplace capabilities.
</li><li>Proven ability to define roadmaps, manage priorities and lead cross-functional initiatives.
</li><li>Strong communication, stakeholder management and Agile delivery skills.
</li><li>Experience with tools such as Aha!, Azure DevOps, Jira or similar platforms; financial services data experience is a plus.
</li></ul>Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. 
 
Guidance on AI use for candidates 
 
At BlackRock, AI has long been part of how we work &ndash; enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we&rsquo;ve provided guidance (opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. 
 
 
About BlackRock 
 
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. 
 
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. 
 
To learn more about BlackRock, please visit Careers.BlackRock.com (opens in new window). We also encourage you to get to know us on LinkedIn (opens in new window), Instagram (opens in new window), YouTube (opens in new window), X (opens in new window), and TikTok (opens in new window). 
 
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
</div><div>Job Requisition #
 
R266270</div></div>

VP - Data Product Management

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Overview Of The Role
 
As an Associate Relationship Manager for Launchpad EMEA, you serve as Salesforce's primary presence in the European startup ecosystem &mdash; building scalable programs, driving technical engagement, and helping VC-backed founders at every stage unlock the full value of the Salesforce platform. You sit at the intersection of startup community, AI-powered tooling, and enterprise software, working closely with EMEA SMB sales leadership and the global Launchpad team.
 
 
Responsibilities
<ul><li>Drive technical engagement and value creation across the EMEA startup landscape &mdash; configuring use cases, demonstrating Agentforce capabilities, and helping founders understand what Headless 360 and AgentExchange unlock for their business, serving as a credible technical resource for companies that lack access to enterprise-level support.
</li><li>Own the EMEA Launchpad program pipeline end-to-end, designing and building repeatable engagement programs for startups from accelerator stage through to growth stage, and working closely with EMEA SMB sales leadership and account teams to ensure VC-backed companies are identified, prioritised, and engaged in a value-led way.
</li><li>Enable the EMEA sales organisation by running enablement sessions and office hours that equip sales leaders and AEs to engage startups consistently, and by collaborating with Launchpad leadership to scale what works across the broader team.
</li><li>Build and host founder and ecosystem events across EMEA &mdash; including curated breakfasts, innovation centre events, and partner activations &mdash; and contribute to strategic portfolio reviews with data-driven insights on the evolving European startup landscape.
</li></ul>Required Qualifications
<ul><li>Demonstrated experience building programs, processes, or products from scratch in an early-stage, high-growth, or startup-adjacent environment &mdash; whether through founding a company, owning a technical sales function, running a founder program, or developing scalable GTM processes.
</li><li>Technical fluency with platform configuration, AI-powered tools, and developer tooling, with the ability to earn trust and hold credible conversations with technical founders, operators, and engineering teams.
</li><li>Direct experience working in or closely with the venture capital and startup ecosystem, with a strong understanding of how VC-backed companies operate and what founders care about at different stages of growth.
</li><li>Exceptional communication and influencing skills, with a track record of working effectively across sales, technical, and executive stakeholders in complex, multi-disciplinary environments.
</li></ul>Preferred Qualifications
<ul><li>4&ndash;6 years of relevant experience in venture capital, enterprise software, startup ecosystem roles, business development, technical sales, or a related field with a strong commercial and technical intersection.
</li><li>Hands-on experience with AI-powered solutions, vibe coding, or AI-assisted configuration tools, with a genuine point of view on how they are reshaping how startups operate and scale.
</li><li>Familiarity with the Salesforce platform and the GTM tech stack for startups, including Agentforce, AgentExchange, and Headless 360.
</li><li>Experience hosting or managing ecosystem events, founder communities, or partner programs across European markets.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Associate Relationship Manager, Startups & Venture Capital

Fresha

<div><h4 class="jobSectionHeader">The AI-powered OS for beauty, wellness and self-care</h4> 
About Fresha 
 
Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices. 
 
Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date. 
 
The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC.<div>
Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions.</div><div>
Fresha&rsquo;s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.</div><div>
The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google.</div><div>
Role overview</div><div>
Fresha is entering its next phase of global scale, and the Platform team plays a vital role in making that growth fast, safe, and sustainable.</div><div>
As a Senior Platform Engineer, you will take end-to-end ownership of how our platform and services are built, deployed, and operated. Your focus is clear: remove friction for engineers, reduce operational risk, and ensure the platform scales alongside the business.</div><div>
Your mission is to ensure engineers always have the right tools, patterns, and infrastructure so they can deliver faster, safer, and with confidence.</div><div>
We care deeply about customer impact, even when the work is internal &mdash; platform improvements ultimately exist to help Fresha deliver better experiences to customers.</div><div>
To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from our dog-friendly office 4 days per week, with the option to work from home on Wednesday. London office address: The Bower, The Tower, 207 Old St, London EC1V 9NR</div><div><div><h3 class="jobSectionHeader">
Our Tech Stack:</h3><div><div><ul><li>
Docker</li><li>
AWS EKS</li><li>
Kafka / AutoMQ for asynchronous messaging</li><li>
Elixir &amp; Ruby for core services</li><li>
gRPC for inter-service communication</li><li>
GraphQL for API ingress</li><li>
Next.js / TypeScript for frontend</li><li>
PostgreSQL (RDS) for persistent storage</li><li>
GitHub Actions (primary CI), with Jenkins &amp; Argo Workflows for legacy pipelines</li><li>
Redis for key/value storage</li><li>
Terraform for infrastructure as code</li><li>
Python and GoLang for our Platform tools</li><li>
Datadog, Sentry for observability and incident response</li></ul></div></div></div></div><div><div><h3 class="jobSectionHeader">
What you will be doing:</h3><div><div><div>
Platform Architecture &amp; Scale</div><ul><li>
Define and evolve infrastructure architecture to support multi-region deployments</li><li>
Design systems for resilience, scalability, and operational simplicity</li><li>
Explore and apply AI-assisted approaches to reduce operational toil, improve reliability, and support platform decision-making where it creates clear value</li></ul><div>
Observability &amp; Operations</div><ul><li>
Extend monitoring and observability capabilities across services</li><li>
Make operational data easy to access, understand, and act on</li><li>
Build tooling for safe deployments, fast rollbacks, and reduced operational toil using software methodologies and approaches</li><li>
Experiment with AI-assisted detection, triage, or automation to improve signal quality and reduce manual effort</li></ul><div>
Ownership &amp; Leadership</div><ul><li>
Scope, lead, and deliver platform initiatives autonomously</li><li>
Drive cross-team projects with clear outcomes and accountability</li></ul><div>
Enablement &amp; Knowledge Sharing</div><ul><li>
Raise the bar through documentation, runbooks, and internal knowledge sharing</li><li>
Help teams learn, align, and operate more effectively together</li></ul></div></div></div></div><div><div><h3 class="jobSectionHeader">
We&rsquo;d love to hear from you if you:</h3><div><div><ul><li>
Have 5+ years of experience building, operating, and troubleshooting production-grade systems, with a strong focus on reliability, observability, and scalability</li><li>
Bring hands-on experience with AI/ML or LLM-based tools in a platform or operational context (e.g. automation, observability, developer experience, or incident response)</li><li>
Demonstrate strong programming and automation skills in Python, Go, or Bash, and use Infrastructure as Code (Terraform) to build repeatable, low-risk systems</li><li>
Have experience with AWS (EKS, RDS, S3, CloudFront), or equivalent platforms on GCP or Azure</li><li>
Are comfortable working close to the system with solid Linux and networking fundamentals (TCP/IP, DNS, firewalls, load balancing, VPNs)</li><li>
Have practical experience designing or improving observability (metrics, logs, traces) using tools such as Datadog, Grafana, ELK, Sentry, and OpsGenie</li><li>
Take ownership of complex technical problems, form clear opinions backed by data, and drive solutions through implementation and collaboration</li><li>
Work effectively across teams, communicate technical concepts clearly, and apply systems thinking to make platforms easier to use, safer to operate, and simpler to scale</li><li>
Have experience with Claude code</li></ul></div></div></div></div><div><div><h3 class="jobSectionHeader">
Interview Process</h3><div><div><ul><li>
Screen Call - Video call with a member from the Talent Team - 30 minutes</li><li>
1st Stage - Technical Video call/In-person interview with Head of Engineering - 60 minutes</li><li>
2nd Stage - Technical Video call/In-person interview with Engineers - Up to 2.5 hours (including a 30 minute preparation exercise)</li></ul><div>
We aim to finalise the entire interview process and deliver feedback within 4 weeks.</div><ul><li>
Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe</li></ul></div></div></div></div><div><div>
Inclusive workforce</div><div>
At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.</div><div>
We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment.</div><div>
We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.</div><div>
If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.</div></div><div><div>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Senior Platform Engineer (Infrastructure)

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