You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform.

You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

The impact you will have:

• Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimisation, integration with cloud-native services, MLOps, etc.

• Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems

• Build, scale, and optimise customer AI workloads and apply best-in-class MLOps to productionise these workloads across a variety of domains

• Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks

• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks' AI offerings

What we look for:

• 5+ years of hands-on industry ML experience in at least one of the following:

• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.

• AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI

• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience

• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike

• Passion for collaboration, life-long learning, and driving business value through ML & AI

• [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role

• Can meet expectations for technical training and role-specific outcomes within 3 months of hire

• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilising the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $219,100-$301,300 USD

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As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale.

You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.

Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond.

You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion

• Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases

• Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions

• Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams

• Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building

Requirements:

• 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales

• Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies

• Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams

• Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation

• Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures

• Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams

• Track record of selling technical products in competitive markets

• Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns

• Passion for making powerful technology safe and societally beneficial

Benefits:

• Annual Salary: $240,000-$315,000 USD

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• Lovely office space in which to collaborate with colleagues

Location:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform.

Your responsibilities will include:

• Architecting production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.

• Serving as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems

• Building, scaling, and optimizing customer AI workloads and applying best-in-class MLOps to productionize these workloads across a variety of domains

• Providing advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks

• Collaborating cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks' AI offerings

We are looking for someone with 5+ years of hands-on industry ML experience in at least one of the following areas:

• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.

• AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI

A graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience is also required.

Additionally, experience communicating and/or teaching technical concepts to non-technical and technical audiences alike is highly valued.

The salary range for this position is $180,000-$247,500 USD, depending on location.

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You will conceive practical and creative ways to identify leading talent and invest considerable time activating and engaging passive candidates. You will use data to set benchmarks and metrics to create targeted recruiting strategies while partnering with leadership to build inspired teams.

The impact you will have:

• Apply your knowledge to meet our hiring needs and develop unique full-cycle hiring strategies
• Build engaged talent pipelines, with active and passive candidates which can sustain long-term hiring goals
• Create closing approaches to manage partner expectations through market data
• Lead the business with data to promote future workforce planning decisions and accurate forecasting
• Help Databricks to provide a positive interview experience for all and periodically review experiential data to enhance our offering and drive Diversity and Inclusion in our hiring

What we look for:

• Experience building partnerships within the business and cross-functionally
• You will have had success in scaling a high-growth software/Data/AI company and be able to bring your learning from your success to our team
• 2-3 years experience in an in-house recruiting environment, focussed on the SaaS software, ideally within the Data and AI space

About Databricks:

Databricks is the data and AI company. More than 10,000 organisations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

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You'll work with the fastest-growing AI-focused startups in the region, driving adoption of frontier AI through bespoke LLM solutions. You'll build and grow a cross-functional technical team, establish best practices for startup engagements, and represent Anthropic as a technical leader across the region.

In collaboration with Sales, Product, and Engineering, you'll help startups incorporate AI into their products and platforms. A core part of this role is building Anthropic's technical brand across the EMEA startup ecosystem through hands-on engagements, workshops, developer content, and strategic partnerships with accelerators and VCs.

Responsibilities:

• Build, hire, lead, and mentor a team of Applied AI Architects and Applied AI Engineers supporting EMEA Startups

• Partner with EMEA GTM leadership and Sales to build market-specific strategies that drive adoption and technical mindshare among startups

• Engage hands-on with highest-value EMEA startups on advanced LLM integration, deployment, and adoption

• Travel regularly across EMEA for customer workshops, ecosystem events, accelerator demo days, and conferences

• Build technical mindshare among early-adopter startups through developer workshops, technical content, hackathons, and community programmes

• Build relationships with VCs, accelerators, and incubators to position Anthropic as the platform of choice for emerging companies

• Surface product feedback and market intelligence from EMEA startup engagements back to Product and Engineering

You may be a good fit if you have:

• 7+ years of experience as a Forward Deployed Engineer, Customer Engineer, Sales Engineer, Applied AI Architect, or Applied AI Engineer

• Minimum 5+ years of management experience (ideally 7+) leading hands-on, technical, customer-facing teams, with a track record of hiring and scaling teams rapidly

• Experience building AI-native products and working with AI-native startups, ideally across multiple EMEA markets

• Enjoy building distributed teams across geographies in unstructured environments

• Strong executive presence and ability to build deep relationships across diverse cultural contexts

• Familiarity with the architecture and operation of large language models

• Passion for making powerful technology safe and societally beneficial

• Willingness to travel frequently across EMEA (estimated 30–40% travel)

Nice to have:

• Second-line management experience across different technical functions (e.g., managing both Applied AI Architecture and Engineering leads)

• Founder or early-stage startup/scaleup experience: you understand the pace, constraints, and mindset of the companies you’ll be serving

• Experience operating across multiple EMEA markets with understanding of regional startup ecosystems and go-to-market dynamics

• Proficiency in one or more additional EMEA languages (e.g., French, German, Spanish, Italian, Swedish, Hebrew)

The annual compensation range for this role is £325,000-£390,000 GBP.

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We are seeking a Technical Support Engineer - Use Cases to join our Support team in France. This role is ideal for someone who excels at technical troubleshooting, incident investigation, and customer communication in a B2B environment.

Key Responsibilities

Technical Support & Incident Management

Handle escalated tickets from enterprise clients via Intercom, focusing on applications and use cases built by our Solutions team, and based on Mistral products (eg. Mistral Studio, Document AI). Root Cause Analysis: Ask the right questions to gather context, reproduce issues in test environments, and diagnose technical problems (e.g., API errors, edge case failures, processing workflows issues). Cross-Team Collaboration: Work closely with solutions and engineering teams to escalate, track, and resolve incidents efficiently. Proactive Communication: Provide clear, empathetic, and timely updates to clients and internal stakeholders, ensuring transparency throughout the resolution process.

Knowledge Sharing & Process Improvement

Documentation: Create and update technical FAQs as well as applications’ documentation and troubleshooting guides Feedback Loop: Identify recurring pain points in customers’ applications and suggest improvements to product, documentation, or support workflows.

Customer-Centric Approach

Empathy & Ownership: Maintain a customer-first mindset, ensuring clients feel heard and supported, even in high-pressure situations. Solution-Oriented: Proactively propose workarounds, fixes, or process optimizations to enhance the customer experience and reduce incident resolution time.

Technical Expertise

Full-Stack Engineering: Experience with both frontend (React, NextJS, VueJS) and backend (Python, FastAPI) software engineering. AI Engineering: Experience with AI and LLM applications. Kubernetes/Helm: Experience with deployment, scaling, and troubleshooting of applications in Kubernetes clusters using Helm charts. Tooling: Proficiency in Intercom, monitoring tools, scripting (Bash/Python), and diagnostic utilities (logs, performance metrics).

Who You Are

Required Experience: 3+ years in technical support, software engineering, or LLMs, with a focus on end-to-end systems. Technical Skills: Hands-on experience with troubleshooting complex technical issues in enterprise environments. Knowledge of AI/ML workflows, data pipelines, and software engineering best practices. Familiarity with ticketing systems (Intercom), RGPD compliance, and security best practices. Soft Skills: Exceptional problem-solving and analytical skills. Strong written and verbal communication in French and English (additional languages are a bonus). Ability to explain technical concepts clearly to non-technical stakeholders. Mindset: Customer-obsessed, with a passion for delivering high-quality support. Collaborative, able to work effectively in a distributed, fast-paced team. Curious and adaptable, with a willingness to learn and master new technologies.

Why Join Mistral AI?

Directly contribute to the success of enterprise AI solutions and shape the future of AI support. Opportunities for career advancement in support leadership, technical specialization, or customer success. Work with cutting-edge AI technology in a dynamic, mission-driven company. Join a passionate, diverse, and low-ego team that values collaboration and continuous learning. Hybrid flexibility (Paris or Marseille office) with a focus on work-life balance and professional development.

What We Offer

Competitive cash salary and equity Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership Transportation: Monthly contribution to a mobility pass via Betterway Health: Full health insurance for you and your family Parental: Generous parental leave policy Visa sponsorship Coaching: we offer BetterUp coaching on a voluntary basis

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Key Responsibilities

• Design, develop, and maintain scalable and robust features ensuring seamless integration between front-end and back-end systems.
• Ensure high performance, reliability and scalability across our distributed systems.
• Contribute to systems powering AI-assistants, developer experience, authentication, billing, AI tooling, observability, connectors, search and more.
• Build and maintain our websites using modern frontend frameworks like React, Next.js, Svelte and Astro.
• Create interactive experiences and bring our brand to life with animations and micro-interactions that delight users while ensuring strong performance and accessibility.
• Design and run evaluations for your product area: reference tests, heuristics, model-graded checks tailored to search relevance, chat quality, document understanding, or audio performance.
• Define and track metrics that matter: task success, helpfulness, hallucination proxies, safety flags, latency, cost.
• Improve core behaviors in your product area, whether that's memory policies, intent classification, routing, tool-call reliability, or retrieval quality.
• Design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure.
• Automate data quality checks and validation processes.
• Collaborate with cross-functional teams to understand data needs and deliver high-quality, actionable solutions.

Requirements

• Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Proficiency in one of the following languages: Python, TypeScript, Golang.
• Strong problem-solving abilities and attention to detail.
• Ownership mindset capable of shipping end-to-end features with minimal oversight.
• Excellent communication skills and collaborative attitude.
• Team-oriented, low-ego mindset and curiosity for learning.

Fast-Track Hiring Process

• Intro call with a recruiter — 15 min
• Technical rounds — usually 2 x 45 min depends on the role
• Interview with a technical lead — 30 min

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We are looking for experienced leaders and senior managers who can join our growing team. You will bring together AI & Data advisory expertise, commercial acumen and delivery excellence to shape, sell and deliver programmes that create value for our clients using AI & data

The ideal candidate will understand how ML, GenAI, Agentic AI and data can create value for clients across a range of industries. Ideally you have a depth of knowledge in one industry of functional domain but have the versatility to translate that to other domains and industries.

Key Responsibilities

• Take a leading role in end-to-end deal pursuits and during the sales cycle to understand clients’ needs and shape solutions that will deliver value for them
• Build relationships of trust with client stakeholders to identify opportunities for AI-enabled business transformation
• Collaborate within the Infosys organisation to bring the best of Infosys together for the client
• Contribute to thought leadership and be an external advocate on behalf of Infosys Consulting
• Fully responsibility for programme delivery including leading distributed teams and offshore delivery
• Build and nurture partnerships across the Data & AI technology ecosystem
• Share expertise and learning generously within the team to upskill colleagues
• Continually strengthen and grow the team through hiring and development
• Act as a role model, authentic leader and collaborative team player

Requirements

• Essential Skills:
• 10+ year of experience in relevant data, analytics & AI fields
• High level of personal credibility with clients and colleagues in the business application of AI and data
• A hands-on leader, ready to lead by example with a focus on execution and progress
• Proven experience in leading AI and data projects
• Experience leading distributed technical teams
• Thorough understanding of how AI, machine learning, deep learning can leverage enterprise data to deliver value
• Strong executive presence and influencing skills with the ability to engage credibly with C-suite stakeholders and shape the conversation
• Broad leadership skills including commercial acumen, business case development and personal resilience.
• A relentless drive for quality and attention to detail
• Excellent interpersonal skills and strong written and verbal communication skills
• Degree in a quantitative field

Preferred Skills:

• Expertise in an industry: especially financial services, manufacturing or telecommunications
• Expertise in a functional domain: especially customer service, marketing, sales or IT operations
• A second major European language at C2 level is an advantage
• Domain expertise within Data & AI: data science, GenAI engineering, data strategy, data governance
• Knowledge of a partner platform: agentic workflows, hyperscaler AI platform, data platform
• MSc with PhD a plus

Personal attributes

• Analytical, pragmatic problem-solver; outcome-oriented.
• Self-directed, able to prioritise and juggle multiple workstreams.
• Clear communicator who can simplify complexity.
• Collaborative, curious, continuous learner.

_Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.

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We are looking for experienced leaders and senior managers who can join our growing team. You will bring together AI & Data advisory expertise, commercial acumen and delivery excellence to shape, sell and deliver programmes that create value for our clients using AI & data

The ideal candidate will understand how ML, GenAI, Agentic AI and data can create value for clients across a range of industries. Ideally you have a depth of knowledge in one industry of functional domain but have the versatility to translate that to other domains and industries.

Key Responsibilities

• Take a leading role in end-to-end deal pursuits and during the sales cycle to understand clients’ needs and shape solutions that will deliver value for them
• Build relationships of trust with client stakeholders to identify opportunities for AI-enabled business transformation
• Collaborate within the Infosys organisation to bring the best of Infosys together for the client
• Contribute to thought leadership and be an external advocate on behalf of Infosys Consulting
• Fully responsibility for programme delivery including leading distributed teams and offshore delivery
• Build and nurture partnerships across the Data & AI technology ecosystem
• Share expertise and learning generously within the team to upskill colleagues
• Continually strengthen and grow the team through hiring and development
• Act as a role model, authentic leader and collaborative team player

Skills and Qualifications:

Essential Skills:

• 10+ year of experience in relevant data, analytics & AI fields
• High level of personal credibility with clients and colleagues in the business application of AI and data
• A hands-on leader, ready to lead by example with a focus on execution and progress
• Proven experience in leading AI and data projects
• Experience leading distributed technical teams
• Thorough understanding of how AI, machine learning, deep learning can leverage enterprise data to deliver value
• Strong executive presence and influencing skills with the ability to engage credibly with C-suite stakeholders and shape the conversation
• Broad leadership skills including commercial acumen, business case development and personal resilience.
• A relentless drive for quality and attention to detail
• Excellent interpersonal skills and strong written and verbal communication skills (English & a second major European language at C2 level)
• Degree in a quantitative field

Preferred Skills:

• Expertise in an industry: especially financial services, manufacturing or telecommunications
• Expertise in a functional domain: especially customer service, marketing, sales or IT operations
• Domain expertise within Data & AI: data science, GenAI engineering, data strategy, data governance
• Knowledge of a partner platform: agentic workflows, hyperscaler AI platform, data platform
• MSc with PhD a plus

Personal attributes

• Analytical, pragmatic problem-solver; outcome-oriented.
• Self-directed, able to prioritise and juggle multiple workstreams.
• Clear communicator who can simplify complexity.
• Collaborative, curious, continuous learner.

_Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now._

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Responsibilities

• Build scalable, well-structured, efficient web applications and components
• Work on building green-field projects from the ground up
• Maintain and improve existing code
• Work with other teams to build new services and products
• Scope and plan new software components

Experience

• Good understanding and hands-on experience with TypeScript
• Working knowledge with AI engineering tools, vectorisation and LLMs
• Ability to build components from scratch in React and a full understanding of the component life cycle
• Ability to build responsive UI components using modern CSS and tools, such as Storybook
• Understanding of the importance of consistency and standards in software development
• Skills with CI/CD and DevOps tools and practices, Docker and Kubernetes

What's in it for you

• Competitive salary range of £40,000 - £55,000
• Hybrid role from our Bath Office, working three days from the office, two from home
• Uncapped leave, because we trust you to manage your workload and time
• When we hit our targets, enjoy a share of our profits with a bonus
• Refer a friend and get rewarded when they join Future
• Wellbeing support with access to our Colleague Assistant Programmes
• Opportunity to purchase shares in Future, with our Share Incentive Plan

Who are we

We're a global leader in specialist media, with over 3,000 employees working across 200+ media brands. We're passionate about creating trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.

Our Future, Our Responsibility - Inclusion and Diversity at Future

We embrace and celebrate diversity, making it part of who we are. Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive.

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The Technology & Engineering department at Future offers a collaborative, collegiate environment. The primary focus in this environment is on effective but well-engineered and scalable solutions. These solutions address questions posed both by our product and commercial teams and from within the department.

We run regular Hack Days and focus on best practices by tech-based guilds. This feeds into our products and improves our developer experience and the efficiency of our sites and services.

Our delivery teams work directly with tech leads and senior team members, ensuring projects are well-scoped and the Measurements are clear.

We provide time and resources for training to ensure the personal development of our team members, which is important to the success of our department overall.

What you'll be doing

As a Software Engineer, you'll work as an important member of Future's Technology & Engineering team reporting into the Director of Engineering. Your aim is to ensure the delivery of scalable, well-structured, efficient web applications and components. The primary focus is on building green-field projects from the ground up – using the latest libraries and best practices – and also maintaining and improving existing code. You will be responsible for the scoping and planning of new software components, refactoring existing code, and working with other teams to build new services and products

Experience that will put you ahead of the curve

• Good understanding and hands-on experience with TypeScript.
• Working knowledge with AI engineering tools, vectorisation and LLMs.
• The ability to build components from scratch in React and a full understanding of the component life cycle.
• The ability to build responsive UI components using modern CSS and tools, such as Storybook.
• An understanding of the importance of consistency and standards in software development.
• Skills with CI/CD and DevOps tools and practices, Docker and Kubernetes.

What's in it for you

The expected range for this role is CZK 70,000 – CZK 110,000. This is a Hybrid role from our Brno Office, working three days from the office, two from home

Benefits

• Uncapped leave, because we trust you to manage your workload and time
• When we hit our targets, enjoy a share of our profits with a bonus
• Refer a friend and get rewarded when they join Future
• Opportunity to access sports, health, and relaxation facilities across Czechia

Who are we...

We're Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.

Our Future, Our Responsibility - Inclusion and Diversity at Future

We embrace and celebrate diversity, making it part of who we are.

Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive.

When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It's not just about what you bring to the table — it's about making sure the table has room for everyone.

Because a diverse team isn't just good for business. It's the Future.

Find out more about Our Future, Our Responsibility on our website.

Please let us know if you need any reasonable adjustments made so we can give you the best experience!

#LI-Hybrid

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Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide startups through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable startups to succeed with Claude.

You will serve as a deep technical advisor to high-potential startups, working alongside them to build innovative use cases that push the boundaries of AI. You will work hands-on with startup engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development.

You will develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable startups to build and scale with Claude. You will collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements.

You will identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team. You will create technical content for startup audiences including documentation, tutorials, and sample code. You will foster community engagement through hackathons, webinars, technical office hours, and startup-focused events.

You will travel to customer sites for workshops, implementation support, and relationship building. You will be a builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience.

You will have strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans. You will have experience facilitating technical workshops, hackathons, or developer-focused events. You will have passion for making powerful technology safe and beneficial.

The annual compensation range for this role is £225,000 - £240,000GBP.

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As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.

Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
• Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
• Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
• Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
• Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
• Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
• Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
• Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
• Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
• Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
• Track record of selling technical products in competitive markets
• Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
• Passion for making powerful technology safe and societally beneficial

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing the state of the art in AI and making a positive impact on society.

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The ideal candidate will have a passion for developing people, identifying market opportunities, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Build and lead a high-performing team of Enterprise Account Executives, providing coaching, mentorship, and guidance to drive team success

• Develop and implement sales strategies to meet and exceed team revenue quotas

• Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems

• Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness

• Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales

• Enable your team to have credible technical conversations while maintaining appropriate guardrails

• Build strong partnerships across the organization to drive strategic initiatives

• Identify and execute on new market opportunities and use cases for Anthropic's AI solutions

• Gather and synthesize customer feedback to inform product direction and enhance customer experience

• Build and continuously refine the sales methodology by incorporating learnings into playbooks and best practices

You may be a good fit if you

• 7+ years of enterprise sales experience driving adoption of emerging technologies

• 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment

• Proven track record of building and leading high-performing sales teams, with demonstrated success in coaching and developing AEs

• Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations

• Strong technical acumen and ability to understand complex AI solutions, with experience enabling teams to have credible technical conversations

• Track record of successful partnership with technical teams throughout the customer journey

• Demonstrated ability to navigate dynamic stakeholder ecosystems and drive cross-functional initiatives

• Experience managing complex enterprise sales cycles and helping AEs secure strategic deals

• Strong operational rigor in pipeline management, forecasting, and sales metrics

• Excellent communication skills and ability to build relationships across all levels

• Strategic approach to market analysis combined with tactical excellence in execution

• Passion for AI technology and commitment to its safe, responsible development

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$290,000 - $435,000USD

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What you'll do

Build and evolve full stack systems that integrate multiple third-party and in-house Sonar models, ensuring seamless orchestration, robustness, and observability in production.

What you need

• Hands-on experience building production AI or agentic applications end to end, including tool calling, context engineering, and integration with modern LLM APIs.

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What you'll do

• Collaborate closely with AI Product, Applied ML, Post-Training, and Data Science teams to design, build, and maintain scalable data pipelines and data lakes
• Develop high-performance infrastructure that powers personalization features including memory, discover, and agentic products
• Create a scalable, multi-modal evaluation platform for all Perplexity AI products, including personalization, pro search, labs, deep research, and Comet
• Design tools and abstractions on foundational infrastructure to enhance personalization, analytics, recommendations, AI products, and post-training capabilities
• Holistically improve engineering foundation to support rapid growth of Perplexity products and international user base.

What you need

• Strong programming and data engineering skills, with proficiency in open source & distributed framework(AWS, Spark, Flink, Iceberg, DynamoDB)
• Familiarity with cloud-based data services (e.g., AWS, RDS, DynamoDB), containerized infrastructure (e.g., EKS, Docker), and data streaming (Flink, Spark streaming, CDC)
• Strong quantitative and engineering skills with experience in estimating performance at high scale
• Experience supporting various ML/AI engineering teams to build scalable frameworks to accelerate R&D for frontier models and AI products
• Experience iterating on improving LLM responses and set up proper evaluation framework or Judges to analysis performance holistically.
• Self-motivated with a strong sense of ownership of systems and designs
• 5+ years of industry experience in distributed systems or AI infrastructure

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