generative ai engineer

Levy Professionals

<div>ABOUT YOU

You are a Data Scientist with a passion for Generative AI and a strong engineering mindset. You enjoy turning business challenges into scalable AI solutions and thrive in collaborative environments where innovation, ownership, and continuous learning are encouraged. You are comfortable working across the full lifecycle of AI products, from experimentation and model development through to deployment and production support, while keeping business impact at the centre of your work.

WHAT ARE YOU GOING TO DO
<ul><li>Design, build, test, deploy, and maintain scalable Generative AI solutions in production environments</li><li>Work closely with business stakeholders to understand challenges and translate them into impactful AI-driven solutions</li><li>Develop reusable GenAI components and contribute to the adoption of AI capabilities across multiple business domains</li><li>Collaborate with engineers, product specialists, and fellow data scientists to deliver high-quality and responsible AI applications</li><li>Contribute to MLOps, LLMOps, automation, monitoring, and continuous improvement of AI solutions</li></ul>

AN IDEAL PROFILE WOULD BE
<ul><li>5+ years of experience as a Data Scientist or in a similar role with strong Python development skills</li><li>Experience with NLP, LLMs, Generative AI applications, and model development, deployment, and monitoring</li><li>Strong engineering capabilities including Git, CI/CD, APIs, cloud platforms, containerisation, ETL processes, and database technologies</li><li>Experience working with MLOps, LLMOps, DevOps, and cloud-based production environments such as Azure</li><li>Strong communication skills with the ability to collaborate across technical and non-technical stakeholders while coaching and sharing knowledge with others</li></ul>

Contract Duration: Until December 2026, possibility for an extension

Work Model: Hybrid (2 days in office)

Sponsorship: Yes

Open to ZZP as well.

Tick all the boxes? Then smash that button and let&rsquo;s have a chat.

ABOUT US: 
Levy is an international IT staffing organization providing recruitment and project resourcing services to companies ranging from start-ups to well established global players across the UK, Holland, Germany, Belgium, and the USA. By partnering with our clients, we provide tailored interim and permanent IT staffing solutions to help them deliver their initiatives across applications and infrastructure, touching areas such as Digital, Data, Cloud, Cybersecurity and ERP.</div>

Data Scientist (Agentic AI)

SoTalent

<div>
 
 Data Scientist
 
 
 
 📍 Amsterdam, Netherlands | Hybrid/Flexible Working
 
 
 
 An exciting opportunity is available for a
 
 Data Scientist
 
 to develop production-ready machine learning, NLP, and Generative AI solutions that help transform complex scientific data into intelligent, real-world applications.
 
 
 Working within a collaborative, cross-functional environment, you'll design and deploy AI-powered solutions that improve knowledge discovery, information retrieval, semantic search, and decision support using large-scale scientific content and data.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, develop and deploy machine learning, NLP and Generative AI solutions for scientific discovery and intelligent content understanding.
 </li>
 <li>
 Build models supporting semantic search, information retrieval, recommendation systems, question answering, summarisation, entity extraction and content classification.
 </li>
 <li>
 Work with large-scale structured and unstructured datasets including scientific publications, research data, knowledge graphs, ontologies, metadata and citations.
 </li>
 <li>
 Apply a range of machine learning techniques including classification, regression, clustering, ranking, deep learning, embeddings, LLMs and retrieval-based methods.
 </li>
 <li>
 Fine-tune, evaluate and integrate AI models into scalable, production-ready systems.
 </li>
 <li>
 Develop clean, maintainable Python code and reusable data science components, pipelines and experimentation frameworks.
 </li>
 <li>
 Monitor model performance, detect drift, support automated retraining and continuously optimise deployed solutions.
 </li>
 <li>
 Partner closely with engineering, product, UX, analytics and domain experts to translate business challenges into measurable AI solutions.
 </li>
 <li>
 Communicate technical concepts, model performance and recommendations to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 Skills &amp; Experience
 
 <ul>
 <li>
 Experience in Data Science, Machine Learning, Artificial Intelligence, Natural Language Processing, Statistics, Computer Science or another quantitative discipline.
 </li>
 <li>
 Strong Python programming skills with experience writing clean, well-tested and maintainable code.
 </li>
 <li>
 Experience working with Large Language Models (LLMs), including platforms such as GPT, Claude or Gemini, with exposure to prompt engineering, fine-tuning or model integration.
 </li>
 <li>
 Solid understanding of supervised and unsupervised learning, feature engineering, model evaluation and performance optimisation.
 </li>
 <li>
 Experience working with large structured, semi-structured or unstructured datasets, particularly text-heavy datasets.
 </li>
 <li>
 Proficiency with modern machine learning libraries such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch or TensorFlow.
 </li>
 <li>
 Strong analytical thinking with the ability to solve complex problems and convert ambiguous requirements into practical solutions.
 </li>
 <li>
 Excellent communication and collaboration skills with experience working across multidisciplinary teams.
 </li>
 </ul>
 
 What's on Offer
 
 <ul>
 <li>
 Flexible working arrangements supporting work-life balance.
 </li>
 <li>
 Hybrid working environment.
 </li>
 <li>
 Wellbeing initiatives, parental leave, study assistance and sabbatical opportunities.
 </li>
 <li>
 The opportunity to work on cutting-edge AI, NLP and machine learning technologies.
 </li>
 <li>
 A collaborative, innovative environment where your work contributes to advancing scientific research and healthcare worldwide.
 </li>
 <li>
 Competitive salary and comprehensive benefits package.
 </li>
 </ul>
 
 If you're passionate about applying machine learning and Generative AI to solve meaningful real-world problems while working with large-scale scientific data, this is an excellent opportunity to make a significant impact.
 
</div>

Data Scientist

JetBrains

<div>
 Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
 
 
 Spectrum collects data from an organization&rsquo;s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec &ndash; one that&rsquo;s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
 
 
 Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.
 
 
 
 Your Responsibilities Will Include
 
 
 
 <ul>
 <li>
 Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
 </li>
 <li>
 Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
 </li>
 <li>
 Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
 </li>
 <li>
 Establishing MLOps practices, including orchestration, observability, and experiment tracking.
 </li>
 <li>
 Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
 </li>
 <li>
 Defining hiring criteria, growing the ML team, and shaping the ML team culture.
 
 
 </li>
 </ul>
 
 We Expect You To Have
 
 
 
 <ul>
 <li>
 A proven track record as an ML/AI Lead.
 </li>
 <li>
 At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
 </li>
 <li>
 A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
 </li>
 <li>
 Hands-on experience with:
 </li>
 <ul>
 <li>
 Prompt engineering and LLM pipeline design, including evaluation.
 </li>
 <li>
 Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
 </li>
 <li>
 Vector databases and retrieval-augmented generation (RAG) patterns.
 </li>
 <li>
 Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
 </li>
 </ul>
 <li>
 Strong Python skills &ndash; Kotlin knowledge would be a plus.
 </li>
 <li>
 Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
 </li>
 <li>
 Proficiency in English, both written and verbal.
 
 </li>
 </ul>
 
 Our Ideal Candidate Would Have
 
 
 
 <ul>
 <li>
 Experience with ontologies, knowledge graphs, or graph-based reasoning.
 </li>
 <li>
 Experience in early-stage startups &ndash; you enjoy the zero-to-one phase.
 </li>
 <li>
 The ability to think strategically about product-led AI, beyond just training models in isolation.
 </li>
 <li>
 A background in code analysis, developer tools, or software engineering research.
 </li>
 <li>
 Experience with multi-agent systems or complex agentic workflows.
 </li>
 <li>
 Actively contributed to relevant open-source projects or publications.
 
 
 </li>
 </ul>
 What we offer
 
 
 <ul>
 <li>
 A competitive salary and JetBrains benefits.
 </li>
 <li>
 A generous runway and corporate resources with startup autonomy.
 
 
 </li>
 </ul>
 
 We are an equal opportunity employer
 
 
 
 We know great ideas can come from anyone, anywhere. That&rsquo;s why we do our best to create an open and inclusive workplace &ndash; one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
 
 
 
 We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
 
 
 
</div>

Founding ML Engineer (Spectrum)

Databricks

<div>REQ ID: CSQ427R209
 
 
Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further.
As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers, you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments.
As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.
<h2 class="jobSectionHeader">The impact you will have:</h2>
<ul><li>Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio.</li>
<li>Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics.</li>
<li>Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification.</li>
<li>Synthesize field insights from your team&rsquo;s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.</li>
<li>Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.</li>
<li>Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth.</li>
</ul><h2 class="jobSectionHeader">What we look for:</h2>
<ul><li>4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures.</li>
<li>5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners.</li>
<li>Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Manufacturing, Finance, Healthcare, Retail, Telco, or Energy.</li>
<li>Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics.</li>
<li>Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level.</li>
<li>Familiarity with Databricks, Apache Spark&trade;, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued.</li>
<li>Ability to travel to customer sites and Databricks offices approximately 20% of the time.</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Manager, Forward Deployed Engineering

<div>Company Description 
Sia is a next-generation, global management consulting group born digital, augmented by data, enhanced by creativity, and driven by responsibility. We partner with clients to resolve challenges and capitalize on opportunities. We believe that in today&rsquo;s world of change and disruption, optimism is a force multiplier. 
Job Description 
The Amsterdam Data Science team is diverse, dynamic, and rapidly growing. You will collaborate closely within multidisciplinary teams, applying advanced analytics and machine learning techniques to solve complex business problems and deliver impactful solutions. Our flat structure encourages initiative, entrepreneurial spirit, diversity, well-being, and knowledge sharing so that we grow together.
Responsibilities
As a Data Science Consultant, you will collaborate with our Data Scientists, Data Engineers, and Consultants on various client projects in multidisciplinary teams. You will use advanced analytics, machine learning, and GenAI techniques to solve complex business problems and deliver impactful solutions.
Responsibilities include:<ul><li>
Collaborate with colleagues to identify business challenges and extract actionable insights from data.</li><li>
Develop and implement statistical models, optimization solutions, and advanced machine learning techniques.</li><li>
Apply Generative AI and large language models to create innovative solutions.</li><li>
Clearly present analytical results and assist in facilitating client workshops.</li></ul>
Your profile<ul><li>
Motivated, analytical, and eager to learn.</li><li>
Thrive in collaborative, multidisciplinary environments.</li><li>
Clear communicator, comfortable translating complex technical concepts into actionable recommendations.</li></ul> 
Qualifications<ul><li> 
Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.</li><li>
1 to 3 years of relevant professional experience.</li></ul><ul><li>
Strong coding skills in Python and at least one additional analytical language (e.g., R, SQL).</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
Solid knowledge of Machine Learning techniques, optimization methods, and Generative AI.</li><li>
Previous exposure or interest in cloud platforms (AWS, Azure, GCP) is a plus.</li><li>
Fluent in English and Dutch, both written and oral. Additional languages are considered advantageous.</li></ul>
What we offer<ul><li>
Training and development opportunities to advance your expertise.</li><li>
A supportive environment with structured mentorship and personalized training opportunities.</li><li>
Opportunities to participate in international projects.</li><li>
Flexible working hours and performance-based promotion.</li><li>
Competitive salary, bonus, and benefits package (health insurance, pension).</li></ul> 
Additional Information 
We are unable to provide a work permit for this position.
Non-Dutch speakers will unfortunately not be accepted.
Sia is an equal opportunity employer. Employment decisions&mdash;including hiring, promotion, remuneration, or disciplinary actions&mdash;are based solely on performance, competence, conduct, and business needs.<div></div>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</div>

Data Science Consultant

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.
We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place.
As the Manager of Emerging Talent for the AI Builder Program, you will lead, mentor, and scale a high-caliber team of AI-native graduates, and bring a completely fresh approach to problem-solving.This is not a traditional engineering management role; it is a frontier-pushing leadership position designed to channel that native AI mindset into boundary-breaking, real-world customer transformations. It is a blend of people leadership, technical direction, consulting mentorship, and program development - with an exciting focus on pioneering AI approaches to delivering extraordinary outcomes.
We are looking for a strong people leader with reasonable technical fluency to guide and develop a team of new computer science graduates. In this role, you will focus on people leadership and business mentorship, helping your team navigate their early careers while ensuring operational excellence. You will confidently engage with customers across a diverse cross-section of accounts (from Mid-Market through Enterprise Strategic) and serve as a strategic partner
Your primary mission is to translate their unique, intuitive relationship with AI into enterprise-grade success and translate academic computer science excellence into real-world, customer-facing success. You will help your team navigate the frontier of generative AI and Agentforce, architect agent reasoning, and confidently engage with customers to drive business transformations. Additionally, you will play an active role in driving the architecture and execution of our Grad Builder Program , overseeing projects, managing development plans, and delivering advanced technical and consultative training.
<h2 class="jobSectionHeader">Key Responsibilities
</h2><h3 class="jobSectionHeader">1. People Leadership &amp; Talent Development (40%)
</h3><ul><li>Channel AI-Native Superpowers: Champion and harness the unique, fast-paced 'group chat' collaboration styles and intuitive AI habits of recent graduates, turning their fresh perspectives into a competitive advantage for our delivery teams.
</li><li>Manage &amp; Mentor: Act as the direct people manager for a cohort of Emerging Talent AI Builders. Deliver regular 1:1s, performance reviews, career development planning, and compensation management.
</li><li>Bridge the Gap: Help AI natives pivot from 'building experimental side projects' to deploying production-grade, secure, and ethical enterprise software, showing them how to scale their boundary-pushing ideas responsibly.
</li><li>Consulting Coaching: Teach technical grads how to &quot;translate tech into business value.&quot; Coach them on active listening, stakeholder management, discovery sessions, presentation skills, and handling pushback from customers.
</li><li>Cultivating Belonging and Long-term Engagement: Establish a vibrant, inclusive atmosphere. Provide guidance through the specific challenges of early-career excellence, including managing rapid advancement paths, addressing imposter syndrome, and meeting the distinct professional needs of high-potential recent graduates.
</li></ul><h3 class="jobSectionHeader">2. Technical Leadership &amp; Project Governance (30%)
</h3><ul><li>Agentforce Guardrails: Guide graduates through the design of agentic reasoning, prompt engineering, and tool calls. Ensure they are evaluating AI outputs with strict engineering rigor rather than trial-and-error.
</li><li>Technical Coaching: Support Graduates in building scalable and secure agentic solutions. Act as an internal technical sounding partner when a Graduate encounters roadblocks, ensuring they are equipped to succeed.
</li></ul><h3 class="jobSectionHeader">3. Graduate Builder Program Enablement &amp; Strategy (30%)
</h3><ul><li>Pioneer Continuous Upskilling: Foster an active, experimental lab culture where testing the absolute limits of generative AI and Agentforce is celebrated. You will use insights gained from your cohort's rapid experimentation to feed back into the broader organization's upskilling initiatives.
</li><li>Project Matching &amp; Bench Management: Oversee the pipeline of customer work, strategically pairing Grads with projects that stretch their technical capabilities while balancing business needs.
</li><li>Development Milestones: Build, track, and optimize a 12-to-24-month competency matrix detailing when a Grad is expected to master specific technical tracks (e.g., Real-Time Infra) and consulting pillars.
</li><li>University Recruiting Partner: Collaborate with the University Recruiting team to interview, assess, and attract top-tier Computer Science talent from target universities.
</li></ul><h2 class="jobSectionHeader">The Ideal Profile
</h2><h3 class="jobSectionHeader">You can speak their language...
</h3>You have a deep background in computer science or software engineering. You understand object-oriented programming, data structures, and the current landscape of LLMs/prompt engineering.
<h3 class="jobSectionHeader">...and you can teach them yours.
</h3>You are a seasoned consultant or customer-facing tech lead. You know how to read a room, handle a tough customer question during a live deployment, and unpack complex business requirements into technical user stories. You view communication, empathy, and business acumen as core engineering skills. Crucially, you are energized by working with early-career talent who naturally think AI-first. You know how to guide their ambition to push boundaries, helping them refine raw creativity into high-impact business strategy.
<h2 class="jobSectionHeader">Qualifications &amp; Requirements
</h2><h3 class="jobSectionHeader">Minimum Qualifications:
</h3><ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a highly technical discipline.
</li><li>Experience: 5+ years of experience in technical consulting, solution architecture, software engineering, or a highly technical customer-facing role.
</li><li>Leadership: 1+ years of experience managing technical teams, acting as a tech lead, or significantly mentoring early-career engineers/consultants.
</li><li>Technical Fluency: Proficient in at least one classic powerhouse language (Python, JavaScript/TypeScript, Java) and a solid understanding of modern web architectures (React, REST APIs, GraphQL). A passion for high quality code and best practices (OOP, SOLID, Git, etc.)
</li><li>AI/LLM Curiosity: Practical, hands-on experience or profound familiarity with Generative AI frameworks, prompt engineering, and LLM orchestration.
</li></ul><h3 class="jobSectionHeader">Preferred Qualifications:
</h3><ul><li>Prior experience managing university graduate programs, technical rotation programs, or tech boot camps.
</li><li>Direct experience with the Salesforce ecosystem, Apex, or building on Agentforce .
</li><li>Background in Enterprise Agile delivery and technical scoping.
</li></ul><h2 class="jobSectionHeader">Why This Role is Unique
</h2>Unlike traditional engineering managers who operate strictly behind the scenes, or traditional consulting managers focused purely on utilization metrics, you are at the epicenter of a workforce revolution. You are not just teaching a syllabus, you are leading a generation of AI natives who will fundamentally rewrite how businesses operate. In this role, you have a blank canvas to push boundaries, experiment with leading-edge agentic technology, and serve as the premier showcase for Salesforce's company-wide upskilling strategy. If you want to change the trajectory of early-career professionals while actively redefining the future of work itself, this is your platform.
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.
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>

AI Builder, Manager

Veed

<div><h3 class="jobSectionHeader">About the company
</h3>At VEED , we're a generative AI company building the AI video creation platform made for social. It's where millions of marketers imagine and generate branded videos, in minutes. 
 
We're powered by frontier models and VEED Fabric, our own image-to-video model. Our APIs also run AI video inside leading creative products. 
 
We're 150 people, $50M ARR, backed by Sequoia. We're hiring. Come help us make AI videos worth posting.
<h3 class="jobSectionHeader">Where And How We Work
</h3>At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life.
For our London and Amsterdam-based teammates, we ask that you spend 3 days a week in the office during your first 6 months &mdash; it&rsquo;s the best way to connect, collaborate, and get to know your team. After that, you&rsquo;ll shift to 1 day a week in the office, with flexibility to choose the day that suits you best.
<h3 class="jobSectionHeader">About the role
</h3>VEED recently started building its own AI models, sold through API, and the traction has been HUGE. Our Fabric image-to-video lipsync model is already the model of choice for industry leaders like ElevenLabs, Freepik, and many more, and it's distributed through marketplaces like fal.ai and Runware.
We're about to launch our own API platform, and as such we&rsquo;re now looking for our Founding API GTM to be the first dedicated seller in our API business - the person who turns inbound buzz and a world-class model into booked, recurring revenue, and who builds the commercial playbook the rest of the API sales org will run on.
This is a 0 1 commercial role. You'll own the number for a brand-new line of business, sell a technical product to technical buyers, and have a direct hand in shaping pricing, ICP, and how we go to market. You'll be selling not just today's models, but building VEED's roadmap toward serving AI video infrastructure and agentic products directly to developers. We're an AI-first business, and we expect this role to be too: you'll build an outbound motion powered by AI agents, not headcount, and you'll prototype your own demos rather than wait in an engineering queue. No two days will be the same, and almost nothing is built yet.
You'll work alongside our Research Engineers and Product leadership, and will report to VEED&rsquo;s COO who runs the API business.
<h3 class="jobSectionHeader">What you'll do
</h3><ul><li>Own the API revenue number. Build and run the full cycle end-to-end: prospecting, qualification, technical demos, commercial negotiation, and close. You are the first and, for now, only quota-carrier for the API business.
</li><li>Run an AI-first outbound machine. Build and operate an agentic prospecting and research motion - using AI to source, qualify, personalize, and follow up at a scale that normally takes a team.
</li><li>Vibe-code your own demos. Prototype working integrations and bespoke demos against a prospect's actual use case (with AI coding tools and our API), so you can show value in the first call instead of waiting on engineering.
</li><li>Build the playbook by running it. Define the sales motion, qualification criteria, pricing and packaging feedback, and the repeatable process the next sellers will inherit. Where there's no process, you create it.
</li><li>Sell to technical buyers. Run credible conversations with founders, CTOs, and engineering leaders at AI platforms, creative tools, and &quot;engine-builders&quot; (dubbing, UGC, avatar, and e-learning companies) who want to build on our models.
</li><li>Be the voice of the customer. Feed usage, revenue, and qualitative insight back to research, product, and leadership to shape what we build and how we price it.
</li><li>Work cross-functionally to close. Collaborate with Marketing, Engineering, Finance, Core Business Sales, Customer Success, and Legal to get deals over the line and customers live.
</li><li>Help set the commercial vision. Partner with the GM on ICP, forecasting, and the path from first dollar to the next pillar of VEED's revenue.
</li></ul><h3 class="jobSectionHeader">What you bring
</h3><ul><li>Proven 0 1 closing. You've carried a quota and consistently exceeded it, ideally as an early/founding seller where you built processes from nothing. Former or future founders highly encouraged to apply.
</li><li>AI-first by default. You already run your own work - research, outbound, prep - with AI agents and tools, and you're energized by pushing how far that can go. You sell AI because you live it.
</li><li>Technical enough to build. You can read API docs, wire up a quick integration, and vibe-code a demo with tools like Cursor, Claude, or Lovable. You can also hold your own on latency, model capabilities, and developer workflows, and you're quick to learn the AI/GPU landscape. You don't need to be an engineer - you need to be dangerous enough to not be blocked by engineering resource, and earn technical teams&rsquo; trust
</li><li>Commercial and quantitative instincts. You think in pipeline, unit economics, and revenue impact, and you can structure creative deals in a market with no fixed playbook.
</li><li>Range. You're as sharp negotiating a contract with a sophisticated buyer as you are explaining VEED's value to a non-technical CEO at an event.
</li><li>Hands dirty, ego in check. No task is too small. In an early-stage team of one, you'll prospect your own list, build your own decks, and chase your own paperwork - taking pride in ownership, from high-level strategy to day-to-day execution
</li><li>Bias to action. You move fast, operate with ambiguity, and would rather ship and iterate than wait for the perfect plan.
</li></ul><h3 class="jobSectionHeader">What we offer
</h3><ul><li>Monthly subsidy programme: Everyone values different things, so we give you a monthly allowance to spend how it suits you best &mdash; whether that&rsquo;s on office furniture, childcare, gym memberships, or anything else that makes your life easier.
</li><li>Unlimited paid holidays: Time with family, friends, or just yourself is priceless.
</li><li>Home office set-up: We make sure your home office is fully equipped with everything you need &mdash; laptop, monitors, headsets, keyboards, and more &mdash; so you can work comfortably and creatively.
</li><li>Mental health benefit : We&rsquo;ve partnered with Spill to offer confidential mental health support to all our team members.
</li><li>Equity: When VEED wins, you win. Our stock options let you share in the company&rsquo;s growth and be a part of our journey. 
</li></ul> 
The base salary ranges for this role are:
<ul><li>London: &pound;93,760 &ndash; &pound;117,200 gross per year
</li><li>Amsterdam: &euro;107,054 &ndash; &euro;133,817 gross per year 
</li></ul> 
We set ranges based on market data and review them regularly. Where your offer lands within the range reflects your experience and skills relative to the level criteria for this role. We don't ask about current or previous salary at any stage of our process. 
 
Even if you don&rsquo;t have every skill listed here, we encourage you to apply. We value curiosity, drive, and the ability to learn just as much as existing expertise.
We think what matters is people. After all, a company is just a group of people. We don&rsquo;t care about where you&rsquo;re from, what school you went to or where you worked before. If you&rsquo;ve done exceptional work, we want to hear from you. Join us on our mission to make creative storytelling with video simple and accessible for everyone.
By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.</div>

Founding API GTM

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