About the Team:

AlphaSense's Product team stands at the forefront of innovation, developing AI-powered solutions that enable professionals to make smarter, faster, and more informed decisions. Our team, a diverse and global collective of operators, craftspeople, innovators, and visionaries, shares a passion for solving complex problems and delivering exceptional user experiences.

We work together across disciplines and time zones, driven by customer empathy and a bias for action. Whether we're reimagining how users interact with data or developing entirely new capabilities, we're committed to transforming bold ideas into transformative products.

If you're passionate about creating industry-leading tools that shape the future of business intelligence, we’d love to meet you.

About the Role

We are seeking a Senior Product Designer to join our growing Mobile team. In this role, you will lead feature strategic design work across both iOS and Android platforms, leveraging your exceptional creative skills and design expertise to spearhead our design initiatives and produce outstanding user experiences. You will be collaborating closely with cross-functional partner teams, you will be responsible for ensuring our product designs align with both business objectives and user requirements, while shaping the overall aesthetics, functionality, and usability of our products.

What You’ll Do:

• Create mobile-first wireframes, prototypes, and visual design experiences that effectively communicate the product's functionality and user experience.
• Engage with customers through interviews, surveys, and usability testing to understand their needs, pain points, and behaviors. Iterate designs based on feedback and data analysis
• Develop and execute a design strategy that aligns with company goals
• Collaborate closely with product managers, engineers, and other stakeholders to gather and evaluate user requirements, translate them into delightful mobile interactive designs, and ensure that the final product meets the needs of both the users and the business.
• Build and develop native mobile design systems, adapting to and implementing evolving design patterns and component libraries. 
• Stay informed about industry trends, emerging technologies, and best practices in product design
• Demonstrate strong and persuasive communication skills, ensuring complex ideas are understood by cross-departmental partners
• Collaborate with engineering teams during development, advocating for design quality and user experience by championing the importance of design fidelity and attention to detail throughout the development lifecycle.

Who You Are:

• Bachelor’s degree in Product Design, Graphic Design, or a related field.
• 5+ years of experience in product design, with a focus in mobile applications. 
• A strong portfolio demonstrating expertise in visual interaction design & process for iOS and Android platforms.
• Excited about tackling the unique UX challenges of Generative AI. You excel at transforming intricate, AI-powered functionalities into user-friendly experiences.
• Skilled in developing unified user experiences that are easily adaptable across various devices.
• Passionate about crafting exceptional user experiences, highly curious, a future thinker, and always interested in learning more about complex topics and getting up to speed quickly
• Proficiency in design (primarily Figma) and prototyping tools.
• Strong understanding and proven experience of user-centered design principles, end-to-end customer workflows and ability to transform new users into habitual users. 
• Excellent communication and collaboration skills.
• Demonstrated experience in project leadership and team mentorship.
• Experience designing within an enterprise SaaS context is a plus
• Proven ability to mentor and guide team members, providing constructive feedback and support to foster professional growth and development.

Position Overview

Xaira is seeking enthusiastic and motivated candidates to join our team! As an AI Scientist, you will have prior experience in developing and implementing new deep learning methods while upholding a track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields. You will be a crucial member of our core AI team, comprising highly creative and talented peers who are all experts in developing state of the art AI models. With your team, you will initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development. You will also have the chance to work closely with interdisciplinary experts with world-class biology, drug discovery, and clinical expertiseWe welcome candidates with diverse backgrounds and experiences. We welcome candidates across the spectrum of experience. Teams thrive when they are diverse (across all axes), and we encourage all eligible applicants to apply.

The role is open to the following locations: San Francisco Bay Area, Seattle and London.

Key Responsibilities

• Completed (or within one year of completing) a PhD in an AI or AI-adjacent field.
• Excited to work, learn and teach within a collaborative team working on challenging problems.

Desirable

Below is a list of qualities/experiences that align with the kinds of things that we are looking for. Please do not read this as an extension of the “requirements” section! We recognise that experiences, opportunities and life-paths vary.

• Publications in journals or ML conferences.
• Public codebases or contribution to public GitHub repositories.
• Industry experience in an AI company, such as an internship or full-time position.
• Knowledge or experience in BioAI.
• Experience building and training neural networks.
• Experience training models across multiple GPUs.

If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $120,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Position Overview

Xaira is seeking enthusiastic and motivated candidates to join our team as Research Engineers. We welcome candidates across the spectrum of experience. Teams thrive when they are diverse (across all axes), and we encourage all eligible applicants to apply. 

The role is based in our London office, located near Old Street. Our team is highly collaborative, operating on the belief that hard problems are best solved by multiple people working towards a clear goal, bringing and sharing their expertise with the team. We operate a hybrid working culture based on trust. Members of the team are typically in the office 3 days a week.

Key Responsibilities

• Industry experience as a research engineer, in an AI-related company.
• Excited to work, learn and teach within a collaborative team working on challenging problems.

Desirable

Below is a list of qualities/experiences that align with the kinds of things that we are looking for. Please do not read this as an extension of the “requirements” section! We recognise that experiences, opportunities and life-paths vary.

• Masters (or equivalent)/PhD in AI-related field.
• Public codebases or contribution to public GitHub repositories.
• Experience building and training neural networks.
• Experience in distributed training and inference.
• Experience profiling and optimising large-scale AI models.
• Knowledge or experience in BioAI.

If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Overview:

What you will do:

What we are looking for:

Overview:

What you will do:

What we are looking for:

Overview: The Renewal Coordinator is an operational role, supporting the Renewal Team by ensuring the accuracy and completeness of all renewal records, pricing renewals, preparing quotes and aiding in the booking process.   This role closes the loop and fills the gaps in all renewal processes from the beginning of the life of a contract and throughout its renewal history.  Ensuring the renewal flows through to all back-office systems and provides accurate information for all areas of the business but most essentially giving the customer a clear and defined picture of their holding and a first-class experience with the business each year.  

What you will do:

• Ensure contract records are accurate, complete and product configuration is correct
• Align co-term, expansion and upgrade sales with correct contract records
• Ensure all expirations flow to Salesforce renewals
• Prepare quotes, including complex pricing models, incorporating current processes and policies
• Booking closed orders through to order processing
• Managing booking queries, working with Order Management, Fulfilment and Renewal Account Manages to ensure all queried orders are resolved and ordered.
• Contract research – interrogating multiple systems to find completed contracts and work with account managers to provide relevant renewal information.

What we are looking for:

• Deal Desk or Order Management or Finance experience in SaaS environment
• 3- 5 years experience
• Strong numeracy skills and proficiency with Microsoft 365, particularly Excel.
• Salesforce or similar CRM experience
• Travel is required: Quarterly team meetings in Reading / London
• Professional demeanor with sound organizational and interpersonal skills
• Uses discretion and maintains firm’s privacy and client confidentiality
• Works well under pressure; able to manage time effectively in an active, fast-paced environment with multiple demands, shifting priorities and deadlines

AI Skills/Knowledge:

• Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
• Use AI Tools to research, draft emails utilizing Copilot

Preferred requirements:

• Experience in renewals 

#LI-ZB1 

About Precisely:

Precisely is a global leader in data integrity, providing accuracy and consistency to 12,000 customers in over 100 countries, including 95% of the Fortune 100. Our data integration, quality, location intelligence, and enrichment products empower better business decisions and deliver superior outcomes.

Overview of the role:

The Channel Sales ecosystem consisting of more than 1,000 partners and resellers is an important engine for our Go to Market strategy. This role is responsible for driving revenue and generating opportunities, across Northern Europe, Middle East and Africa, with Distribution & Channel Partners, enabling them on Precisely Software Solutions Product portfolio. You will manage our top focus channel partners and develop and execute a growth plan focusing on the DI Suite of products. You will scan the market and recruit new partners for the DI Suite and you will be operating as the primary interface between partners and Precisely sales teams in EMEA, generating new pipeline opportunities and managing the partner funnel.

What you will do: 

• Implementation and execution of the Northern Europe, Middle East and Africa channel strategy plan consistent with company’s growth objectives.
• Develop and leading strategic sales plans and revenue targets with Focus Growth Partners.
• Manage Pipeline and deal flow opportunities between the Channel Partners and Precisely sales.
• Work with Partners to develop accurate and timely forecasts and monitoring performance against plan.
• Scan the market and recruit high potential and next-generation channel partners.
• Work with EMEA Distribution partners to execute a scale growth and recruit plan.
• Drive account-based marketing plans and activity working collaboratively with the marketing team and promote brand, solutions and company thought leadership throughout the resellers’ portfolio.
• Develop channel resellers’ capabilities and knowledge of Precisely’ products & solutions by providing briefings on services and products as well as ensuring that resellers receive regular training and enablement.
• Gathering market intelligence on competitors’ products and sales strategies and maintaining knowledge/expertise on all competitive products and services.
• Working across Precisely teams such as engineering, channel ops, channel marketing, product management for cross group collaboration to address channel partners needs.

What we are looking for:

• Bachelors Degree (Equivalent work experience will be accepted in place of the education requirement)
• 3-5 Years of experience in managing reseller partners in UK and Europe
• English required

• Travel is required: Yes ~30-50%

AI Skills/Knowledge: 

Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge. 

#LI-IH1

This position is 100% remote anywhere in the US

Overview:

What you will do:

What we are looking for:

Overview:

This position will be primarily focused on AWS, Cloud Systems Administration and involved in the design, implementation, and maintaining of secure systems in a mixed Linux, Windows environment. This position will also collaborate with cross-functional teams to ensure new and existing requirements are being met.

What you will do:

• Design, implement, and maintain secure systems and networks in a mixed Windows, Linux development environments in a mixture of on-prem, AWS and Azure
• Develop and implement security measures, policies, and procedures to protect systems and networks against unauthorized access, data breaches, and other security incidents according to industry best practices
• Monitor and analyze security logs and events, and respond to security incidents in a timely manner
• Conduct security audits and assessments to ensure compliance with applicable regulations, industry best practices, and organizational security policies
• Automate routine tasks using the right tool for the job whether that’s an automation platform or scripts
• Have an eye for details, whether that be contracts, costs, day to day work
• Experience of working in a role-based organization and liaising with all the different functional teams to get the job done
• Stay updated on the latest security threats, technologies, and industry trends, and provide recommendations for improving security posture
• Participate in incident response activities, including investigation, containment, and recovery efforts, as needed
• Resolve any system-related problems that may arise in a timely and efficient manner.

What we are looking for:

• 10+ years of experience working with the AWS platform
• Expert in both Windows and Linux system administration in an Enterprise environment
• Exceptional network trouble shooting ability
• A self-starter, can work solo or as part of a large geographically spread team
• Experienced with all facets of life working in an Enterprise sized company
• Someone who can bring the benefit of their experience and knowledge to the team to help us succeed

#LI-DR1

#LI-Remote

Overview:

What you will do:

What we are looking for:

Overview:

We are building the next generation of our SaaS platform, and we need someone to own the quality architecture that makes it all trustworthy. As a Principal Technology Architect - QA, you will design the systems, standards, and governance that raise the bar for quality across every product segment we ship.

We are an AI-first organization. You will put that into practice by bringing AI-driven testing, intelligent automation, and modern quality tooling into the way our teams work every day. This is a hands-on architecture role, not a policy desk. You will build test frameworks, design quality gates, set reliability targets, and create the shared infrastructure that teams actually adopt because it makes their lives easier.  You will work closely with engineering leadership to connect quality strategy to business outcomes. When you recommend a change, people across the org will listen, because your technical credibility and track record back it up.  You will also mentor engineers, shape how we hire for quality mindset, and help grow the next generation of technical leaders on our teams.  If you get excited about solving hard problems at scale, rethinking how quality works in a modern SaaS org, and leaving things better than you found them, we would love to talk.

What you will do:

• Set the quality architecture direction for the org: design quality gates, define reliability targets, and choose the testing infrastructure that all product segments build on.
• Build and maintain a governance model for quality practices so that standards, processes, and tooling are adopted consistently across engineering teams.
• Design and deliver scalable test automation frameworks that teams can adopt and extend to improve coverage, speed, and confidence in every release.
• Bring AI into quality engineering: evaluate and roll out AI-driven test generation, intelligent test selection, defect prediction, and automated monitoring.
• Own the performance and resilience strategy: set performance budgets, define monitoring standards, and create disaster recovery and incident response frameworks.
• Partner with product and engineering leaders to balance release velocity with system health, making sure teams can ship fast without cutting corners on quality.
• Evaluate and introduce new tools, patterns, and practices that keep our quality approach current as the platform and industry evolve.
• Mentor engineers across teams, raise the bar on how we hire for quality mindset, and contribute to engineering maturity across the organization.
• Represent Precisely externally as a thought leader in quality engineering through talks, writing, or industry engagement.

What we are looking for:

Required:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent work experience is accepted in place of a degree. An advanced degree is a plus.
• Experience: 15+ years of progressive experience in software quality engineering, test architecture, or related technical leadership roles, with demonstrated org-wide architecture leadership
• Quality architecture: Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms.
• AI: Hands-on experience applying AI to quality workflows (e.g. AI-driven test generation, intelligent test selection, or automated defect detection)
• Leadership: Track record of driving adoption of technical standards across multiple teams or product areas, including working with leaders who do not report to you
• Travel is required: Yes – Approximately 10%

AI Skills/Knowledge:

• Comfortable using generative AI tools (e.g. GitHub Copilot, Claude Code, or custom LLM integrations) to accelerate day-to-day quality workflows such as test generation, defect triage, and root-cause analysis.
• Able to critically evaluate AI-generated outputs and set guardrails so that AI-produced test artifacts meet reliability, security, and compliance standards.
• Experience evaluating and integrating AI-powered quality tools (e.g. autonomous testing platforms, AI-based test maintenance, predictive analytics for defect detection) into org-wide workflows.
• Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices.

Preferred Skills:

• Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization.
• Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets).
• Bonus points for experience establishing quality centers of excellence or community-of-practice models across engineering organizations.
• Exposure to security testing practices, compliance frameworks, or regulated industry quality standards.
• Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level.
• Track record of representing an organization externally through conference talks, published writing, or industry working groups in quality engineering.

#LI-SR1

This position is 100% remote anywhere in the UK

Overview:

The Territory Field Partner Sales Manager is responsible for generating partner-influenced revenue and driving joint business execution across Precisely’s priority channel partners and technology alliances. This role manages local Field quota tied to partner opportunities, orchestrates co-selling motions, drives pipeline creation, and ensures high-impact collaboration between Precisely sellers and partner account teams. The individual will play a critical role in building a scalable partner ecosystem and accelerating regional growth.

What you will do: 

• Carry the local Field quota for Channel Sales and Tech Partner influenced revenue.
• Own Field Sales opportunities where partners are involved, including Field lead generation and closing local partner-attached deals.
• Manage timely quote creation, pricing, and approval workflows for all Field Partner deals.
• Maintain strong Field Sales relationships with Priority Channel Partners and Technology Partners.
• Review local partner pipeline regularly, identify gaps, and collaborate on cross-sell strategies to strengthen pipeline coverage.
• Lead and orchestrate joint account planning with partner AEs and Precisely AEs using mutually agreed customer lists.
• Own and progress Field opportunities originating from Tech Partner Marketplaces (e.g., AWS, Azure, GCP).
• Identify and flag potential new partners for recruitment to the Channel Management organization.
• Attend local partner marketing events (Channel and Tech Partners) to support demand generation and awareness.
• Source and coordinate local partner speakers for Precisely marketing activities, webinars, or in-person events.

 What we are looking for:

• Ability to build strong relationships at all levels — with partners, prospects, customers, and internal teams.
• Proven sales execution skills with ability to influence, negotiate and close partner-involved business.
• Self-starter with strong planning, organization, technical and administrative competencies.
• Excellent verbal, written communication and presentation skills.
• Strong business acumen with understanding of indirect sales motions and partner ecosystems.
• Strong analytical, problem-solving and time-management skills.
• Ability to manage multiple workstreams, prioritize effectively and operate with high productivity.
• Basic to intermediate understanding of data technology, cloud ecosystems, partner marketplaces, and modern software architectures.

PREFERRED REQUIREMENTS

• Bachelor’s degree in Business or related field, or equivalent experience.
• Demonstrated experience (5+ years preferred) in channel sales, partner management, or enterprise technology sales.
• Experience working with technology alliances, cloud marketplaces, or ISV/channel programs.
• Familiarity with data-related solutions, including Data Governance, Data Quality, Data Observability, Data Integration, Data Enrichment, Location Intelligence, Cloud Data Warehouse / Analytics Platforms.

#LI-IH1

So, what's the role all about? 

We’re looking for a German‑speaking Sales Development Representative (SDR) to join our high‑performing EMEA Sales Development team, supporting growth across the DACH region (Germany, Austria, Switzerland). 

In 2026, our SDR organisation is focused strongly on driving pipeline for NICE’s AI‑first solutions, with a primary emphasis on Cognigy— a recognised leader in Conversational and Generative AI across Europe. You’ll be the first point of contact for potential customers, introducing NICE’s AI‑powered technologies, uncovering their needs, and booking qualified discovery calls for our Account Executives (AEs). 

Working across a mix of inbound and outbound activity, you’ll research accounts, identify key stakeholders, and craft thoughtful outreach that opens doors and creates genuine sales opportunities. 

You’ll build expertise in the DACH market, develop personalised engagement strategies, and shape early‑stage conversations that convert into real pipeline. 

From day one, you’ll be supported by experienced mentors, structured training, and a team committed to your long-term success. 

How will you make an impact? 

• Drive high‑quality pipeline for NICE’s AI‑first product suite, particularly Cognigy’s conversational and generative AI capabilities. 

• Identify, contact, and engage key decision‑makers through multi‑touch outreach (email, phone, social, video). 

• Execute a balance of strategic outbound prospecting and inbound lead follow‑up to maximise pipeline generation. 

• Understand customer pain points and articulate how NICE + Cognigy deliver measurable value. 

• Build high‑quality discovery opportunities for AEs and ensure smooth, informed handoffs. 

• Document all activities, insights, and interactions accurately and consistently in Salesforce. 

• Meet or exceed monthly goals for discovery calls, qualified opportunities, and outbound productivity. 

• Collaborate with AEs, Marketing, and regional stakeholders to refine targeting and improve conversion. 

• Continuously develop knowledge of AI, automation, CX technology, and competitive positioning in the DACH market. 

• Use AI‑enhanced prospecting tools to increase efficiency, relevance, and impact. 

Have you got what it takes? 

• Fluent German and strong English communication skills. 

• Confident communicator, especially when engaging senior stakeholders. 

• Strong curiosity and the ability to uncover real needs through discovery. 

• Proactive, self‑motivated, and organised, with great time‑management skills. 

• Comfortable using CRM tools; Salesforce experience is a plus. 

• Driven by results, eager to grow, and excited about working in an AI‑driven sales environment. 

You’ll have an advantage if you also have: 

• Experience with Outreach, LinkedIn Sales Navigator, or similar prospecting tools. 

• Interest in or exposure to Conversational AI, automation, or CX technology. 

• Prior SDR, BDR, inside sales, or prospecting experience in SaaS or technology. 

What’s in it for you? 

This is a chance to build a career at the heart of Europe’s AI revolution. You’ll gain: 

• Hands‑on experience selling one of Europe’s most recognised AI platforms (Cognigy) 

• Deep understanding of conversational and generative AI use cases 

• A highly transferable and in‑demand skillset 

• Ongoing coaching, sales development training, and access to global best practices 

You’ll be part of a global team that celebrates growth, innovation, and bold ideas. 

Enjoy NICE‑FLEX! 

We operate a hybrid working model designed for productivity and balance: 

• 2 office days per week in Berlin for collaboration, teamwork, and face‑to‑face connection 

• 3 remote days for focus, flexibility, and personal efficiency 

Office days priorities collaboration, ideation, learning, and creating a vibrant team environment. 

About Cognigy 

NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages. 

Requisition ID: 9834

Reporting into: Director - Sales Development 

Job type: Individual contributor.

#LI-Hybrid

So, what's the role all about? 

We’re looking for a German‑speaking Sales Development Representative (SDR) to join our high‑performing EMEA Sales Development team, supporting growth across the DACH region (Germany, Austria, Switzerland). 

In 2026, our SDR organisation is focused strongly on driving pipeline for NICE’s AI‑first solutions, with a primary emphasis on Cognigy— a recognised leader in Conversational and Generative AI across Europe. You’ll be the first point of contact for potential customers, introducing NICE’s AI‑powered technologies, uncovering their needs, and booking qualified discovery calls for our Account Executives (AEs). 

Working across a mix of inbound and outbound activity, you’ll research accounts, identify key stakeholders, and craft thoughtful outreach that opens doors and creates genuine sales opportunities. 

You’ll build expertise in the DACH market, develop personalised engagement strategies, and shape early‑stage conversations that convert into real pipeline. 

From day one, you’ll be supported by experienced mentors, structured training, and a team committed to your long-term success. 

How will you make an impact? 

• Drive high‑quality pipeline for NICE’s AI‑first product suite, particularly Cognigy’s conversational and generative AI capabilities. 

• Identify, contact, and engage key decision‑makers through multi‑touch outreach (email, phone, social, video). 

• Execute a balance of strategic outbound prospecting and inbound lead follow‑up to maximise pipeline generation. 

• Understand customer pain points and articulate how NICE + Cognigy deliver measurable value. 

• Build high‑quality discovery opportunities for AEs and ensure smooth, informed handoffs. 

• Document all activities, insights, and interactions accurately and consistently in Salesforce. 

• Meet or exceed monthly goals for discovery calls, qualified opportunities, and outbound productivity. 

• Collaborate with AEs, Marketing, and regional stakeholders to refine targeting and improve conversion. 

• Continuously develop knowledge of AI, automation, CX technology, and competitive positioning in the DACH market. 

• Use AI‑enhanced prospecting tools to increase efficiency, relevance, and impact. 

Have you got what it takes? 

• Fluent German and strong English communication skills. 

• Confident communicator, especially when engaging senior stakeholders. 

• Strong curiosity and the ability to uncover real needs through discovery. 

• Proactive, self‑motivated, and organised, with great time‑management skills. 

• Comfortable using CRM tools; Salesforce experience is a plus. 

• Driven by results, eager to grow, and excited about working in an AI‑driven sales environment. 

You’ll have an advantage if you also have: 

• Experience with Outreach, LinkedIn Sales Navigator, or similar prospecting tools. 

• Interest in or exposure to Conversational AI, automation, or CX technology. 

• Prior SDR, BDR, inside sales, or prospecting experience in SaaS or technology. 

What’s in it for you? 

This is a chance to build a career at the heart of Europe’s AI revolution. You’ll gain: 

• Hands‑on experience selling one of Europe’s most recognised AI platforms (Cognigy) 

• Deep understanding of conversational and generative AI use cases 

• A highly transferable and in‑demand skillset 

• Ongoing coaching, sales development training, and access to global best practices 

You’ll be part of a global team that celebrates growth, innovation, and bold ideas. 

Enjoy NICE‑FLEX! 

We operate a hybrid working model designed for productivity and balance: 

• 2 office days per week in Berlin for collaboration, teamwork, and face‑to‑face connection 

• 3 remote days for focus, flexibility, and personal efficiency 

Office days prioritise collaboration, ideation, learning, and creating a vibrant team environment. 

About Cognigy 

NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages. 

Requisition ID: 9834

Reporting into: Director - Sales Development 

Job type: Individual contributor.

#LI-Hybrid

POS-29684 

Location: Ireland or UK - Remote, Flex, or Office

Join HubSpot’s Design Team

The Flywheel Product Line is an org focused on helping HubSpot grow faster by using AI to dramatically improve how we serve customers and how our GTM teams work. We're doing this across three core areas:

• First, we’re building an AI concierge that supports customers throughout their lifecycle - solving support issues, identifying their goals, unlocking underused features, and helping them get more value from HubSpot. This AI agent qualifies their needs, guides them toward more advanced capabilities, answers support queries, and recommends upgrades - all autonomously, and across multiple formats: chat, voice, real-time AI-generated video and more. It’s a huge design challenge, cutting across use cases, modalities, and interfaces, and it’s something very few companies have even come close to doing well.
• Second, we’re extending our core product with AI-first tools that radically improve how HubSpot’s go-to-market teams (support, sales, customer success) work. That means eliminating repetitive admin work, giving managers superpowers to coach and scale, and helping reps focus on the right leads and the right moments. This is where small UX decisions turn into massive business impact - improving efficiency here directly influences revenue at a multi-billion dollar scale.
• Third, we’re building dedicated experiences for HubSpot’s global partner ecosystem - agencies and consultancies who sell and implement HubSpot on our behalf. These partners drive over $1B in revenue annually. We’re both creating agentic AI experiences for partner-specific needs, and enabling these businesses with unique tools in HubSpot that help them grow faster and operate more efficiently. Their workflows are unique, and their impact on HubSpot’s growth is massive, making this a critical area of focus for Flywheel.

As a Staff Product Designer, you won’t be embedded in a single team or feature area. Instead, you’ll operate at the product line level, shaping the future across multiple domains. You’ll work 3-12 months ahead of delivery — exploring opportunities, prototyping bold ideas, and building narratives that influence leaders across R&D and GTM. 

This role is about vision, strategy, and influence at scale - working at the very edge of what’s possible in applied AI, defining what’s next for a $30B+ company.

Why Flywheel?

Come join us for a career-defining opportunity to:

• Shape the future of applied AI: Work on problems very few companies have even attempted - like building autonomous multi-modal, multi-usecase AI concierges, AI-first GTM tools, and new agentic experiences for our global partner ecosystem.
• Operate at massive scale: Even small improvements in this space drive hundreds of millions in revenue impact. The work you’ll do here will directly influence hundreds of thousands of HubSpot customers.
• Career-defining scope: You’ll operate at the “tip of the spear” for innovation, crafting ideas, prototypes, and narratives that will influence the C-suite and set direction for HubSpot’s future.
• Experiment & explore: Think of this role like an applied design innovation lab - rapid, unorthodox, and experimental. You’ll be encouraged to prototype, test, and push bold ideas, not follow a rigid process.
• Work on platform-scale initiatives: Tackle ambiguous, high-impact problems that span the entire HubSpot platform, requiring a broad perspective and a focus on unified outcomes.
• Leverage data & AI: Harness smart data, advanced automation, generative AI, and LLMs to create personal, intelligent, and connected customer experiences.

What You’ll Do

• Define the future: Explore, visualize, and prototype bold concepts that shape where HubSpot’s GTM should go 3–12 months out.
• Understand complex systems: Research problems, map incentives, and identify opportunities across customer, GTM, and partner ecosystems.
• Prototype to influence: Create high-fidelity prototypes (in Cursor, Lovable, V0, Figma etc) and concept visuals to make abstract ideas tangible and compelling.
• Shape the narrative: Craft stories and presentations that inspire alignment and buy-in from product, GTM, and executive leaders.
• Raise the bar: Uplevel craft quality across the org by modeling strong design work, offering feedback, and sharing thinking through crits, office hours, or mentoring.

What You’ll Bring To HubSpot

We’re not looking for a single mold of designer. You might be:

• A designer with deep AI fluency - able to design adoptable AI-first products and push the boundaries of what’s possible.
• A craft-driven designer with exceptional interaction and visual design skills who can turn complex ideas into beautiful, adoptable experiences.
• A systems thinker and influencer who excels at managing complexity, aligning stakeholders, and selling bold futures to diverse, opinionated audiences.

To succeed, you’ll need:

• A growth mindset - curious, experimental, and not tied to a single way of working.
• Strong skills in concept visualization and prototyping (from decks to vibecoded prototypes).
• Experience driving 0–1 or highly ambiguous product work.
• Comfort operating in spaces with multiple stakeholders, incentives, and nonlinear problems.
• Excellent communication skills, with the ability to tell compelling stories that influence strategy.

We’re hiring across levels! If you’re earlier in your career, check out our Senior Product Designer role.

Job Title: Senior Python Engineer

Location: Remote (UK) with Occasional Travel - Applications from non-UK countries will be rejected
Division: Inizio Medical – Data & AI Team

About Inizio Medical

Inizio Medical is part of Inizio, the world’s leading healthcare and communications group. We are a trusted partner to pharmaceutical and healthcare clients, translating complex science into meaningful impact. Our division focuses on evidence-based communications and education for healthcare professionals and payers.

About the Role

We are seeking a senior, hands-on Python Engineer to join our growing Data & AI team. This role is ideal for an engineer who enjoys building robust backend systems, APIs, and services that power modern applications at scale.

You will work on the backend foundations of next-generation applications, including systems that incorporate generative AI and LLM-based capabilities. Prior experience with generative AI is not required—we are looking first and foremost for a strong Python engineer with excellent software engineering fundamentals who is interested in applying those skills in a fast-evolving domain.e

You’ll collaborate closely with software engineers, data scientists, and product teams to design, build, and operate production-grade systems used in real-world healthcare and life sciences environments.

Key Responsibilities

• Design, build, deploy, and maintain scalable Python services and APIs using modern backend and cloud-native patterns.
• Develop clean, testable, and well-structured Python code for data-intensive and workflow-driven applications.
• Build and integrate backend components that support AI-enabled features (e.g., orchestration layers, inference services, data pipelines).
• Integrate with third-party APIs and external services, ensuring reliability, performance, and cost efficiency.
• Own production concerns including logging, monitoring, error handling, and performance optimisation.
• Contribute to CI/CD pipelines, infrastructure-as-code, and containerised deployments.
• Collaborate with product, data, and engineering stakeholders to translate requirements into high-quality technical solutions.
• Write clear technical documentation for engineers and non-technical audiences.
• Contribute to a collaborative, pragmatic, and high-quality engineering culture.

About You

• Strong professional experience as a Python engineer, building and operating production systems (e.g., SaaS platforms, backend services, data-driven applications).
• Deep knowledge of Python fundamentals, including application architecture, performance considerations, testing, and maintainability.
• Experience building backend systems using frameworks such as FastAPI, Flask, Django, or similar.
• Solid understanding of cloud-based architectures (AWS and/or Azure), containers, and microservices.
• Experience working with CI/CD pipelines, version control, and modern development workflows.
• Strong debugging and problem-solving skills in distributed or data-heavy systems.
• Comfortable collaborating in cross-functional, Agile teams and taking ownership of delivered solutions.
• Curious, pragmatic, and motivated by building reliable systems that deliver real-world impact.

Nice to Have (Not Required)

• Exposure to data platforms or analytics workflows (e.g., Databricks, Airflow).
• Familiarity with LLMs, generative AI APIs, or AI-enabled application patterns.
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Sentry).
• Contributions to open-source projects or shared internal libraries.
• Experience in regulated or high-compliance domains (e.g., healthcare, life sciences, finance).

What We Offer

• Competitive salary and benefits package, including private medical insurance and company pension.
• Flexible, remote-first working environment with occasional travel.
• The opportunity to work on meaningful, high-impact products within a global healthcare organisation.
• A friendly, low-ego culture that values engineering quality, learning, and collaboration.

Ready to Apply?

If you’re a strong Python engineer who enjoys building high-quality systems and is interested in applying your skills to emerging technologies in healthcare, we’d love to hear from you.

About the Role

We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.

You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.

This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.

What You'll Achieve

• Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
• Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
• Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
• Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
• Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
• Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
• Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
• Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
• Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.

What You’ll Need to Be Successful

• Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
• Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
• Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
• Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
• Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of  GDPR, NIST, and SOC 2.
• Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life. 
• Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
• Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.

About the Role

We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.

You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.

This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.

What You'll Achieve

• Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
• Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
• Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
• Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
• Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
• Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
• Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
• Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
• Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.

What You’ll Need to Be Successful

• Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
• Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
• Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
• Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
• Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of  GDPR, NIST, and SOC 2.
• Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life. 
• Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
• Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.

About the Role

We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.

You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.

This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.

What You'll Achieve

• Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
• Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
• Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
• Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
• Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
• Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
• Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
• Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
• Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.

What You’ll Need to Be Successful

• Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
• Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
• Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
• Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
• Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of  GDPR, NIST, and SOC 2.
• Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life. 
• Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
• Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.

About the Role

We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.

You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.

This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.

What You'll Achieve

• Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
• Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
• Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
• Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
• Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
• Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
• Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
• Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
• Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.

What You’ll Need to Be Successful

• Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
• Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
• Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
• Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
• Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of  GDPR, NIST, and SOC 2.
• Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life. 
• Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
• Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.

The SEO Manager sits at the intersection of content strategy and product visibility, working across traditional and AI search to ensure SharkNinja shows up wherever customers are looking. This is a hands-on, delivery-focused role responsible for improving organic visibility and revenue. The SEO Manager works closely with content, trading, product, and performance teams to make SEO a given, not an afterthought, using data to prove its value and translating performance into clear, actionable recommendations that connect directly to business outcomes.

Key Responsibilities

Traditional SEO

• Facilitate the implementation of our SEO strategy in the UK, recognising market specific nuances
• Optimise on-page elements, including optimising website content, meta tags, headers and internal linking structure
• Own the organic blog and informational content roadmap to build topical authority
• Identify content gaps through competitor analysis and search demand data
• Brief and work alongside copywriters and compliance teams to ensure content meets search intent and is legally sound
• Collaborate with the PR team and agencies to ensure we have a best-in-class link acquisition strategy
• Support DTC campaigns by aligning search strategy with copywriters, creative, and performance teams to maximise discoverability and impact
• Work alongside the Performance Marketing team to support the Paid Media leads in maximising cross-channel budget efficiencies
• Stay up to date with search engine algorithm changes and adapt strategies accordingly to maintain or improve rankings
• Advocate SEO best practices and the benefits of SEO to the wider team

Merchandising SEO

• Conduct out in-depth, localised keyword research to identify opportunities for existing categories, products and NPD
• Optimise core category and product pages to increase organic visibility and revenue
• Identify and address cannibalisation across pages and products
• Work with product teams and merchandisers to align on category structure and naming conventions
• Report on weekly and monthly performance against forecast and KPI’s
• Take a data-driven approach and continuously look for ways to optimise SEO performance, and where relevant, automate

AI Search & Future Readiness

• Structure product and category page content to win featured snippets, People Also Ask boxes, and AI Overviews
• Identify and optimise for question-based search patterns across all page types
• Monitor AI Overview appearances in Google Search Console and third-party tools
• Track where brand and product names appear (or don't appear) in AI-generated responses across Google, ChatGPT, Perplexity, and similar tools, flagging gaps and opportunities
• Stay current with emerging Generative Engine Optimisation (GEO) best practices and contribute to an internal testing framework
• Develop guardrails to ensure any AI informed content meets Google’s guidelines

Skills & Experience

Essential

• Hands-on SEO experience in an ecommerce or content-led environment
• An in-depth knowledge of content SEO best practice
• Confident use of Google Search Console & SEMrush
• Solid understanding of on-page optimisation and keyword research
• Familiarity with AEO practices: featured snippet targeting, People Also Ask, FAQ schemas
• Strong written communication skills - able to brief and edit content clearly

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

AS A STAFF ENGINEER YOU WILL:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU'LL GET IN RETURN

• Flexible working options
• Group Life Insurance
• Vitality Health Insurance, with a proactive focus on mental and physical wellbeing
• 25 days holiday with the ability to buy extra days
• 3 days for L&D or volunteering time off per year
• We invest in your development with a £1,000 professional L&D budget per year
• Access to ‘salary sacrifice’ benefits such as Cycle to Work scheme and pension contribution
• Spacious brand-new office near Old Street with an all-day snacks bar
• Enhanced family-friendly leave
• Sabbatical leave

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.

You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client-facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:

• Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting

• Be an expert  level engineer within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL based platform automation process

• Build & maintain data quality metrics & observability to help drive data quality standards

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery

• Build & maintain DataOps process for SDLC delivery

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.

• Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. 

Requirements : 

• 3+ years of relevant experience in Data Engineering / Data Platform Engineering

• Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake strongly desired

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Strong understanding of data architecture & data modeling concepts

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform.  Ability to create clear and concise documentations with a high degree of precision

Job Details

• 💼 Sales Operations | Business Operations
• 📍 United Kingdom
• 🕜 Full-Time Remote

What you will do

As a Senior Manager, Sales Operations, you will be leading our global team of dedicated tactical specialists and analysts responsible for the data, systems and insights that empower our sales organization and you will be reporting to our Director, Sales Operations. You will be a key player in our commercial success, providing support and strategic guidance to our sales teams. This role requires a leader who can manage day-to-day execution, delegate effectively, and help the team prioritize in a fast-paced environment. Your expertise will be important in shaping sales strategies and capitalizing on revenue opportunities across the global business.

Where you will have impact

• Lead, mentor, and develop a team of 5 (and growing) sales operations professionals in a supportive environment.
• Evaluate our current structures, and implement the changes necessary to create a unified, scalable tactical sales operations team
• Execute the sales operations strategy by identifying process enhancements and translating data analysis into actionable business recommendations to the Revenue Team.
• Oversee the development and maintenance of key reports and dashboards for sales leadership, including forecasting, pipeline management, and quota attainment.
• Partner with Sales Enablement to manage and enforce global sales processes, ensuring adherence and a smooth roll-out of new procedures.
• Act as a key point of contact for the sales team, providing support on the Salesforce lead-to-quote-to-cash process and coordinating with cross-functional teams.
• Manage stakeholder expectations by effectively prioritizing tasks and communicating progress on key initiatives to senior leadership.
• You will help define the 'Lighthouse way' of working by integrating AI into your role—whether it’s using AI to prioritize your sales pipeline, automate routine financial reconciliations, or extract faster insights from our commercial data to drive business growth.

About our team

You'll be joining our Sales Operations team, reporting to the Director, Sales Operations within the wider Business Operations department. We are a collaborative and essential crew that acts as the operational backbone for our global sales organization. You'll work closely with other teams and senior leadership, providing the insights and support that keep our commercial teams running.

What's in it for you

• Flexible working environment: Work from home or at one of our global offices.
• Flexible time off: Autonomy to manage your work-life balance.
• Alan Healthy benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. 
• Wellbeing support: Subsidized up to 80% ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Collaborative team: High-bar, friendly, creative, and passionate colleagues.
• Career development: Workshops, frameworks, tools, training, and processes to realize your full potential.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Competitive compensation: Proactively maintained to value your work.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

Essential

• Proven experience in a sales operations or revenue operations role.
• Experience working within a complex sales organization with multiple roles (e.g., SDRs, AEs, AMs).
• Experience in a high-growth Tech or SaaS company, particularly one that has undergone M&A activity.
• Demonstrated team management experience, with a passion for leading and developing high-performing individuals.
• Mandatory, in-depth experience with Salesforce, including reporting and dashboard creation.
• Strong analytical skills with the ability to translate data and analysis into actionable business insights.
• Excellent organizational and time-management skills, with the ability to manage multiple priorities in a fast-paced environment.
• Exceptional communication and stakeholder management skills, with a collaborative mindset to work effectively across teams.
• Fluent in both written and spoken English.
• You are an AI-curious professional who actively explores how generative AI and automation can optimize your daily workflows. You don't just follow processes; you look for ways to augment them using the latest tech tools to increase your personal impact.

We welcome

• Familiarity with Looker or other data visualization tools.

The role

We’re looking for a Business Development Representative, who will be the first point of contact for leading companies across Israel exploring next-generation cloud and AI solutions. Working closely with Account Executives, Marketing, and Product teams, you will build and qualify pipeline to accelerate Nebius’s growth in UKI markets.

You’re welcome to work hybrid from London, England.

Your responsibilities will include: 

Territory & Account Penetration

• Collaborate with AEs to map and prioritize target accounts across UKI, then execute a mix of outbound calls, personalized emails, and LinkedIn outreach to secure qualified meetings.

Inbound Lead Qualification

• Screen and qualify inbound MQLs generated by Marketing, ensuring each prospect meets BANT criteria before handing off a detailed prospect brief to AEs.

Customer & Market Engagement

• Conduct qualification calls to uncover customer pain points, technical requirements, and budget.
• Represent Nebius at key European tech events, book on-site meetings, and follow up to maximize ROI.

Feedback & Continuous Improvement

• Gather market intelligence (common objections, competitive insights, feature requests) during prospect conversations and share it with Product and Marketing.
• Monitor outreach metrics—open rates, reply rates, connect rates—and collaborate with Sales Ops to optimize cadences and scripts.
• Stay up to date on AI and cloud trends (e.g., generative AI in pharma R&D) to position Nebius’s value proposition effectively.

We expect you to have: 

Language & Market Expertise:

• Fluent English is required, both written and verbal.
• 2+ years of SDR/BDR experience in cloud, B2B SaaS, or AI, with a proven track record targeting UKI markets.

Technical & Sales Skills:

• Strong understanding of GDPR and local data-privacy regulations.

Soft Skills & Mindset:

• Highly self-motivated, goal-oriented, and able to thrive in a fast-paced startup environment.
• Excellent written and verbal communication skills, with strong cross-cultural awareness and adaptability.
• Collaborative team player comfortable operating in a hybrid office model.

It will be an added bonus if you have: 

•   Familiarity with HubSpot CRM and sales engagement tools such as Outreach.

An overview of this role

As a Staff Backend Engineer (Python) on the Duo Chat team in AI Engineering, you'll lead the backend architecture that powers GitLab Duo Chat across the GitLab DevSecOps platform. You'll solve hard problems in building reliable, secure, and scalable AI-powered chat workflows so customers can plan, write, review, and secure code faster, with confidence. This is a hands-on technical leadership role where you'll set direction for how we integrate and evolve large language model providers (including Google Vertex AI) across Ruby on Rails and Python services, raise the bar on observability and testing, and guide the team through ambiguous, high-impact technical decisions. Over your first year, you'll be expected to drive key architectural choices, reduce technical debt that slows iteration, and help the team ship durable improvements to response quality, reliability, and maintainability.

Some examples of our projects:

• Integrate new generative AI models and providers into GitLab Duo Chat to expand capabilities and improve response quality
• Improve debugging, observability, and test coverage for AI-powered chat workflows to increase reliability at scale

What you'll do

• Define the technical architecture and technical roadmap for the Duo Chat group, aligning backend execution with product direction and engineering priorities
• Solve the highest-scope and most ambiguous backend problems, delivering secure, well-tested, performant solutions with minimal guidance
• Integrate and extend generative AI capabilities in GitLab Duo Chat, including large language models (LLMs) and providers such as Google Vertex AI
• Develop, ship, and maintain backend features across Python and Ruby on Rails services that power Duo Chat experiences across the GitLab platform
• Design, implement, and review GraphQL application programming interface (API) contracts and supporting backend logic to ensure reliability, scalability, and clear frontend integrations
• Improve observability, debugging workflows, and incident readiness by strengthening logging, tracing, and production troubleshooting practices
• Drive code quality and long-term maintainability by setting internal standards, leading code reviews, and identifying and reducing technical debt
• Mentor engineers across the team and participate in Tier 2 on-call rotations, contributing to root cause analysis and follow-up improvements to resiliency and testing (including RSpec)

What you'll bring

• Production experience building and operating backend services in Python, including background jobs, APIs, and data models
• Ability to define and evolve technical architecture by weighing trade-offs, selecting patterns and tools, and setting a clear technical direction for others to follow
• Experience setting and driving a technical roadmap in partnership with product and engineering stakeholders
• Proficiency designing and maintaining REST and/or GraphQL APIs with attention to scalability, maintainability, and backward compatibility
• Hands-on experience integrating large language models into applications, including prompt design and building features powered by generative AI
• Strong SQL skills and experience working with relational databases such as PostgreSQL, including efficient queries and data modeling
• Experience mentoring engineers through code review, architectural guidance, and shared standards, and communicating complex technical decisions in a clear, async-first way
• Comfort contributing in a mature codebase across Python and Ruby on Rails, with openness to learning and applying transferable skills from related technologies or domains

About the team

The Duo Chat team sits within GitLab's AI Engineering organization and is responsible for building and evolving GitLab Duo Chat, the AI-powered chat experience embedded across the GitLab DevSecOps platform. You'll work with a small, cross-functional group of backend, frontend, and AI specialists who collaborate asynchronously across time zones, using GitLab issues, merge requests, and documentation as the primary way of working. The team focuses on integrating and scaling generative AI capabilities (including providers like Google Vertex AI), improving reliability and performance, and strengthening debugging, observability, and testing workflows so customers can safely use AI to plan, write, review, and secure their code across GitLab.

Anaplan is seeking a Director, Partner Success - EMEA to join our Channels & Alliances team, reporting to the VP, Global Partner Growth at Anaplan. 

This is a player-coach role for an expert in Finance.

Anaplan Partner Success team is on a mission to enable Partners on Anaplan Apps, platform & decision excellence framework to accelerate business success and outcomes.
As a leader and coach of the regional Partner Success team, you will play a pivotal role in building, enabling and scaling the partner ecosystem and the reagional Partner Success Team. As a Partner Success Manager you will also be responsible for partner enablement for a specific territory.

This is a role that will collaborate across PS, CS, products, Apps CoEs, marketing, alliances and sales to ensure partners are equipped with the tools, resources, and strategies to successfully market, sell, and implement our Apps-led strategy. This role is key to accelerating our growth and scaling our business through our partner network. The Partner Success team is seen as a strategic driver for increasing Partner adoption and success.
 

Your Impact and Role

• Partner Enablement Execution: Lead the execution of a comprehensive partner enablement strategy that aligns with Anaplan’s growth objectives and partner needs. This strategy includes the entire SIs, ISVs, and Cloud partner ecosystem.
• Partner-led Delivery Excellence Execution: Lead and improve the partner delivery excellence program to ensure high-quality partner-led implementations and best practices, helping Anaplan customers get the most value from Anaplan Apps and Platform.
• Manage and lead a team of Partner Success specialists: Lead, mentor, and empower a professional team focusing on their career growth and develop a strong workforce that contributes to the winning culture and core values of Anaplan.
• Joint Operating Model: Partner closely with Sales, Marketing, Product, Apps CoEs, PS, CS and other internal teams to define and execute a joint operating model for the success of the success programs that lead to accelerated GTM outcomes.  Design innovative delivery mechanisms in collaboration with PS to ensure effective knowledge transfer and skill development.
• Outcome Based Enablement: Develop and track key performance indicators to measure the impact of enablement programs, assess partner readiness, and identify opportunities for continuous optimization.
• Cross-collaboration: you’ll interact with senior leadership internally and externally and play an important role in overall partner advocacy.
  
  

Your qualifications, your influence 

• 10+ Years SaaS Leadership: Proven track record of scaling partner enablement and go-to-market teams within high-growth, mid-stage enterprise environments.

• Strategic Financial Acumen: Extensive experience managing SaaS revenue streams and lifecycle measures, using a finance background to drive partner ROI and fiscal alignment.

• Enterprise Expertise: 5+ years of management experience delivering to Fortune 500 clients through GSIs and strategic technology partners.

• Technical Authority: Expert in driving solution discussions across Data, AI, and ML, including predictive, generative, and agentic AI technologies.

• Growth Catalyst: Deep experience scaling consulting and tech partner programs with a focus on increasing both revenue and retention.
  
  

Why we're hiring:

WPP Media, as part of WPP ET, is undergoing a significant transformation, modernising our ways of working, adopting cloud-native architectures, and prioritising AI and data-driven insights. This role is crucial for infusing AI-first thinking at every level. You will bridge the gap between high-level business strategy and hands-on technological exploration, acting as a catalyst for innovation. We need someone who can work closely with our teams to discover, design, and help deliver a truly reimagined future powered by AI, ensuring solutions align with our enterprise architectural principles and standards.

Are you a hands-on technologist with a solid understanding of the media or advertising business, eager to explore and apply cutting-edge AI? This isn't a traditional Enterprise Architect role focused purely on mapping and integration. Instead, we're seeking an aspiring architect who thrives on discovery and practical application.

You will be instrumental in exploring how emerging technologies, especially agentic AI, can fundamentally reimagine our business operations and client services. You'll also identify opportunities to accelerate our existing strategic programs, enhancing underlying systems (like ERPs) with AI rather than replacing them. This role is a unique opportunity to grow into a full Enterprise Architect by actively contributing to the strategic application of AI, working closely with product and engineering teams to turn vision into reality, all while learning to navigate and contribute to our architectural standards and governance processes.

Business Impact:

AI-Driven Innovation: Directly contribute to identifying, prototyping, and integrating agentic AI solutions that challenge conventional business models and create new value.

Operational Acceleration: Leverage AI to enhance the efficiency and intelligence of existing in-flight programs and core business systems.

Strategic Growth: Help shape the future technology landscape of WPP Media, defining how AI will underpin our next generation of products and services.

Learning & Development: Gain invaluable experience in enterprise-level architectural thinking, directly influencing major technology decisions and business strategy, including adherence to governance.

What you'll be doing:

• AI Opportunity Identification: Actively research and identify high-impact opportunities for leveraging agentic technologies and broader AI/ML capabilities across our media business operations and client offerings.
• Concept Prototyping & Validation: Work hands-on with cross-functional teams to prototype, test, and validate AI-driven concepts, demonstrating their potential to reimagine workflows or accelerate programs.
• AI-First" Solution Design: Collaborate with Solution Architects and Product Owners to embed AI capabilities into the design of new products and enhancements for existing systems.
• Business Process & AI Mapping: Assist in mapping current business processes, identifying specific areas where AI can be introduced for significant efficiency gains or new value creation, and contributing to high-level capability models.
• Technology Trend Monitoring: Keep abreast of the latest advancements in AI, machine learning, and agentic systems, sharing insights and potential applications with the wider team.
• Architectural Contribution & Governance Support: Contribute to defining and documenting architectural principles and patterns specifically tailored for AI-powered solutions, ensuring scalability, security, and ethical considerations. You will also support efforts to ensure new projects and solutions align with WPP's architectural standards and compliance guidelines.
• Stakeholder Engagement: Translate complex concepts into clear, actionable insights for business leaders, fostering understanding and buy-in for new initiatives.
• Learning & Growth: Actively engage with senior architects and technical leaders, seeking mentorship and opportunities to expand your enterprise architectural knowledge and skills.
• Focus on WPP ET goals that require architecting to align WPP Media to the rest of WPP ET, particularly in the area of AI capabilities 

Key 2026 Goals:

• AI-Driven Innovation & Exploration: Actively contribute to the identification, exploration, and initial validation of innovative AI and agentic technology applications that either reimagine core business operations or accelerate strategic programs.
• Strategic Solution Design: Collaborate with business and technology stakeholders to translate strategic objectives into high-level solution designs, ensuring alignment with defined business capabilities and technology roadmaps.
• Architectural Standards & Governance Contribution: Support the application and evolution of WPP's architectural principles and governance frameworks, contributing to the development of design standards and ensuring solution compliance.
• Continuous Architectural Development: Proactively engage in continuous learning and mentorship opportunities to deepen understanding of enterprise architecture practices, technology trends (especially AI), and their application within the media business.

What you'll need:

• Media Business Acumen: Solid understanding of the media and advertising industry, including its key players, workflows, and operational challenges. Familiarity with common media production tools and workflows.
• AI/ML Foundations: Demonstrated interest and foundational knowledge in Artificial Intelligence and Machine Learning concepts, including Generative AI and/or agentic systems. You should be excited by the potential of AI to transform business operations and client offerings.
• Business Analysis & Requirements Gathering: Proven ability to gather, analyze, and document business requirements, translating them into actionable insights and technical specifications.
• Business Process Understanding: Experience in analyzing business workflows and processes, with an eye towards identifying areas for improvement or re-imagination through technology.
• Technical Acumen: Strong grasp of modern technology stacks, cloud platforms (e.g., Azure, AWS, GCP), APIs, data structures, and the software development lifecycle. Working knowledge of public cloud technologies and basic DevOps principles.
• Solution-Oriented Problem Solving: Ability to break down complex business challenges into manageable parts, identify opportunities for technological intervention (especially AI), and propose practical, innovative solutions.
• Communication & Collaboration: Strong oral, presentation, and written communication skills. Ability to clearly articulate technical concepts to diverse stakeholders and foster effective collaboration.
• Stakeholder Engagement & Interpersonal Skills: Proven ability to build rapport, influence, and collaborate effectively with various stakeholders, including business leaders, product owners, solution architects, and development teams.
• Growth Mindset & Curiosity: Eagerness to learn, adapt to new technologies, and proactively seek opportunities for professional development within the enterprise architecture domain. This includes an interest in Enterprise Architecture frameworks (like TOGAF®) and methodologies.
• Collaboration Tools Proficiency: Proficiency in modern collaboration tools, including the Microsoft 365 ecosystem, for effective remote and hybrid teamwork.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in.

About the Program

The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.

What You'll Do

• Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Design complex, domain-specific problems and datasets to rigorously evaluate AI models, and provide expert insights that enhance their accuracy, reasoning, and overall performance. 
• HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., SciPredict, PropensityBench, Professional Reasoning Benchmark).

Who Should Apply

• Professional and Academic Background: 5+ years of software engineering or related technical experience, or equivalent domain expertise through academic work (e.g. PhD, postdoctoral research, or faculty experience in Computer Science or related field).
• Skills: Demonstrated coding proficiency and analytical abilities, with deep expertise in one or more of the following programming languages: Python, Java, Rust, Swift, JavaScript, or C++.
• Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.

Why Join the HFC?

• Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research—while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location. 

Application Process

1. Apply: We review applications on a rolling basis.
2. Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
3. Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.

So, what’s the role all about? 

As a Sales Enablement Manager, you’ll help ensure Cognigy’s partners are technically capable of building, demoing, and delivering high-quality AI Agents on the Cognigy platform. This role is focused on hands-on technical enablement. You’ll work closely with partner engineers, sales engineers, and internal teams to turn product knowledge into real-world solutions. 

You’ll be a go-to technical resource for partners, helping them move from basic understanding to confident execution across sales cycles and customer implementations. 

How will you make an impact?  

• Enabling partners to design, build, and deliver AI Agents using the Cognigy platform 

• Supporting partner onboarding and ongoing technical readiness through structured enablement and certification paths 

• Delivering technical enablement sessions, workshops, and hands-on labs 

• Assisting partners with JavaScript development, debugging, and flow-based logic 

• Supporting API usage and integrations as part of AI Agent implementations 

• Helping partners work effectively with context variables and conversation logic in Cognigy 

• Advising on webchat embedding and xApps using HTML, CSS, and JavaScript 

• Supporting partners during demos, proofs of concept, and key partner-led opportunities 

• Collaborating with Sales Engineering, Product, and Professional Services to align on technical standards and best practices 

• Translating product updates and new features into clear, partner-ready technical guidance 

Have you got what it takes?  

• Strong JavaScript coding and debugging skills, with the ability to support and unblock others 

• Experience working with APIs and integrations in real-world implementations 

• Practical experience using context variables and conversation logic within Cognigy 

• Working knowledge of HTML, CSS, and JavaScript, particularly for webchat embedding and xApps 

• A general developer mindset, with comfort solving problems through flow logic and/or code 

• Experience in a technical, customer-facing role such as Sales Engineering, Pre-Sales, Solution Consulting, or Technical Consulting 

• Ability to clearly explain technical concepts to both technical and non-technical audiences 

• Strong collaboration and communication skills across sales, product, and delivery teams 

Enablement-focused qualities: 

• A genuine passion for enablement and helping partners succeed independently 

• Enjoyment in teaching, coaching, and guiding others from basic understanding to confident execution 

• Comfort delivering technical enablement sessions, workshops, and hands-on labs 

• Ability to turn complex product capabilities into clear, practical guidance partners can apply immediately 

• A proactive, problem-solving attitude with a strong sense of ownership when supporting partner success 

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! 

About Cognigy 

NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages. 

Requisition ID: 10464
Reporting into: Head of Sales Enablement, NiCE-Cognigy 
Role Type: Individual Contributor  

AI Enablement Manager-EMWW 178

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About EssenceMediacom: A Leading WPP Media Brand

EssenceMediacom is a new breed of media agency. Grounded in analytics & insights and powered by data & technology, we believe in the power of media and creative to drive breakthroughs for the world’s best brands. We help clients understand the modern marketing paradox and discover the breakthroughs brands need to win with their consumers. We are designed for the new communications economy — built on data & technology, built for people & algorithms, built around diverse schools of thought, built to test & learn at scale, and, crucially, built to evolve.

We are harnessing the power of artificial intelligence to redefine the future of marketing. Our intelligent marketing platform, Open Media Studio, and its core AI platform, the Open Media Assistant (OMA), are at the heart of this transformation. We are seeking a passionate and strategic AI Enablement Manager to act as the crucial link between this powerful technology and our client teams, driving a new era of efficiency, innovation, and client success.

This isn't just a technology role; it's a change leadership role. You will be the champion for AI adoption, empowering our teams to leverage OMA to its fullest potential, streamline their workflows, and deliver smarter, more impactful work for the world's biggest brands.

Role Summary and Impact

The AI Enablement Manager will be a key member of the Operations team, responsible for driving the adoption and effective use of WPP Open’s AI-powered tools across the network, with a particular focus on optimizing operational processes for PlayStation.

This role combines AI solution enablement, operational consulting, and change management to ensure that AI capabilities are embedded into day-to-day workflows, delivering measurable efficiency gains and improved service levels.

The AI Enablement Manager will act as a bridge between technology, operations, and client stakeholders, identifying opportunities to replace or augment manual processes with AI agents, streamline workflows, and cut SLAs without compromising quality.

Solution Development & Innovation

• Partner with clients and cross-discipline leads to identify inefficiencies, growth opportunities, and high-impact AI use cases.
• Lead the AI Agent development pipeline on the OMA platform, from needs assessment to deployment, ensuring measurable business impact.
• Scout and evaluate emerging AI technologies, scaling proven solutions across the WPP network.

AI Adoption & Change Management

• Drive implementation of OMA tools and custom AI Agents into client workflows, providing training, onboarding, and AI literacy programs.
• Maintain clear communication on AI initiatives, successes, and learnings, while creating feedback loops to refine tools based on real-world needs.

Governance, Ethics & Best Practice

• Ensure AI initiatives comply with legal, ethical, and client-specific requirements, proactively managing risks around privacy, security, and brand safety.
• Maintain a central repository of AI best practices, use cases, and success stories.

Community Building & Advocacy

• Build and lead an internal AI community to foster collaboration, experimentation, and continuous improvement.
• Act as the central point of contact and visible champion for AI adoption across teams.

Skills and Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Role specific skills

Essential:

• Proven experience working within a media agency, marketing, or advertising technology environment.
• A deep understanding of media planning and activation workflows and the common challenges faced by client-facing teams.
• Strong strategic mindset with the ability to identify business challenges and map them to technological solutions.
• Excellent stakeholder management and communication skills, with the ability to influence and build relationships with individuals at all levels.
• A passionate advocate for change with experience in change management, training, or technology adoption.
• A solid understanding of Artificial Intelligence, Large Language Models (LLMs), and their practical applications in a business context.

Desirable:

• Hands-on experience using generative AI platforms; direct experience with the Open Media Assistant (OMA) is a significant plus.
• Experience in designing or developing process improvements or technology-led solutions.
• Proven ability to create and deliver engaging training and educational materials.
• Experience in building and nurturing communities of practice.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

#LI-Promoted

The Role...

The Director of IT Services & Delivery is the most senior IT support leader at Soho House & Co, with global accountability for the technology experience across our 45+ Houses, Soho Works, Retail, Ned Club, and IHDB brands. This is fundamentally an operational IT role — making sure our IT is up and running, all the time, everywhere. The Director leads a global support team, but the mindset is 24/7: senior leadership combined with hands-on ownership where it matters, owning operations, support, and incident management end-to-end, and answering for service performance across every site, every day.
It is a high-visibility role that depends on strong collaboration across Operations, Finance, HR, and the wider business. Reporting to the Chief Digital & Technology Officer, the Director sits within the Digital leadership team alongside the leads for AI, Data, Engineering, Product, and Security — a department that drives cutting-edge work across AI, Data, Digital, and IT. The business continues to use modern technology, including automation, generative AI, and agentic AI, to improve operations and enhance both member experience and operational efficiency, and this role plays a critical part in supporting that business and technology transformation.

Key Accountabilities..

• Lead, develop, and manage the technology operations team, including employees and contractors, setting clear objectives, driving performance, and building a member-first service culture.
• Own operational support and incident management for the whole estate
• Own the Managed Service Provider relationship, including SLAs, regular service reviews, and continuous improvement across all support tiers.
• Drive continuous improvement in global technology support quality, BAU service performance, and stakeholder satisfaction.
• Lead and coordinate small projects, service enhancements, and tactical technology improvements across existing physical sites.
• Support technology readiness for new House openings and refurbishments by coordinating requirements with Infrastructure, IHDB, and other stakeholders.
• Partner with HR and the Group CDTO to attract, assess, and onboard technology talent globally.
• Own PCI-DSS operational compliance across relevant systems and locations, including annual assessments, QSA relationships, remediation programmes, and ongoing controls governance.
• Own the full technology estate, including front-office systems such as PMS, POS, F&B reservations, access control, and guest WiFi, and back-office systems including HCM, Finance, and ERP Fusion.
• Own operational support and incident management for the whole estate, and drive BAU delivery of enhancements for all Hospitality, HR, and Finance systems. (Major programme delivery sits with the Special Programmes Delivery team.)
• Manage all technology vendor relationships and commercial agreements, critically evaluate AI-embedded vendor roadmaps, and ensure effective licensing and cost control.
• Ensure all systems comply with internal policies, including cybersecurity, GDPR, SOC monitoring, incident response, PCI-DSS, and ISO 27001 across all global locations.
• Own and manage the IT budget, including software licensing, MSP costs, project spend, and team resource.
• Full ownership of the IT Services budget, including software licensing, MSP costs, project spend, and team resource.
• Responsible for annual budget planning, monthly reforecasting, and presenting investment cases to the Group CDTO and ExCo.
• Expected to drive cost efficiency through rigorous vendor negotiation and technology rationalisation.

Challenges and Priorities for this role..

• Evolving the IT operating model from reactive support to proactive strategic delivery, aligning technology investment with Soho House’s growth ambitions.
• Managing global complexity across 45+ locations with diverse regulatory requirements (GDPR, PCI-DSS, US/UK/EU data privacy, local telecoms regulations).
• Critically evaluating and governing AI-embedded capabilities within vendor platforms (PMS, POS, F&B systems) to ensure genuine ROI and responsible deployment.
• Delivering new House openings on time and to standard while maintaining BAU service levels across the existing estate.
• Maturing the MSP relationship towards more proactive, value-add support, reducing reliance on reactive incident management.
• Building IT talent capability and capacity to support new brands, geographies, and technology platforms.
• Balancing cybersecurity rigour (PCI-DSS, GDPR, ISO 27001) with the need to move quickly on strategic technology initiatives.

What We Are Looking For..

• 10+ years in IT leadership, with at least 3 years at IT Service Delivery Director level in hospitality, luxury retail, or multi-site lifestyle brands.
• Proven experience managing Managed Service Providers (MSPs) and holding them to SLAs.
• Experience with automation (as it applies to hospitality) and AI, with familiarity across the modern tech stack.
• Track record of delivering end-to-end IT projects, including global new-site buildouts.
• Knowledge of hospitality systems: PMS (Opera, Apaleo, or equivalent), POS (Simphony, Tevalis, Lightspeed), F&B reservations (SevenRooms, OpenTable).
• Ability to critically evaluate AI/ML capabilities in vendor SaaS platforms — model quality, data pipelines, integration patterns, and vendor lock-in risk.
• ERP and back-office fluency: finance, HR/HCM, and procurement systems (ideally Oracle suite and Dayforce).
• Experience recruiting and developing distributed IT teams across multiple geographies.
• Strong commercial acumen — owning IT Service Delivery OPEX/CAPEX budgets and presents investment cases to senior leadership.
• Excellent stakeholder management across operational, commercial, and technology functions.

Benefits…

Soho House offers competitive compensation packages that feature global benefits and perks. Whether you’re seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to grow your career.

• Annual Every House Membership
• 50% off Food & Drink, 7 days a week
• Staff Room Rates
• Private Health and Dental Care
• Weekly Pay
• Life Assurance
• Up to 50% Staff Discount on Cowshed & Soho Home
• In Office Dog Policy on Fridays
• Season Ticket Loan
• Christmas Office Closure
• In conjunction with Soho Impact, take 2 days paid a year to support a charity of your choice.
• Free Counselling Sessions
• Cookhouse & House Tonic: Our Cookhouse & House Tonic programmes offer unique food and drink trainings, events and opportunities to inspire and educate.
• Continuous training to develop yourself personally and professionally
• Exclusive access to our benefits platform with hundreds of discounts on shopping, gym memberships, holidays, insurance and much more
• Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to.

About the Team:

The Customer Success organisation is composed of three teams: Pre-sales, Customer Success, and Support. The Customer Success Manager will join a team of trusted partners alongside their Account Manager, working closely with newly onboarded and existing clients to demonstrate the full value of our platform, develop strong client engagement, drive successful renewals and contribute to growth across dedicated accounts. They are natural problem-solvers, storytellers and product experts who thrive on helping customers make better and faster decisions.

Customer Success Managers combine deep product knowledge, industry experience and ability to build strong client relationships to ensure that each client interaction is both meaningful and impactful. Due to their extensive exposure to a variety of clients both on the buy-side and sell-side, they are the Voice of the Customer, working closely alongside our Product Management and Content teams to help determine future product developments, as well as playing a key role in product Betas and the customer feedback loop.

About the Role: 

As a Customer Success Manager focused on Financial Services, you will play a critical role in driving product adoption and delivering ongoing value to our clients, working closely with the wider account team to positively impact net retention. You’ll engage directly with clients and develop a comprehensive understanding of their workflows, challenges, and goals; bridging the gap between the powerful capabilities of our technology and the domain-specific needs of financial professionals across: Asset Management, Investment Banking, Private Equity/Venture Capital and Hedge Funds.

What You’ll Do: 

• Partner with GTM Teams to Drive Commercial Outcomes: Collaborate closely with your Account Manager and the wider account management team to ensure continuous alignment of account strategies and goals. 
  
• Leverage Data Driven Insights: Use internal data tools to monitor client engagement, identify opportunities to showcase value, and strengthen platform adoption. Proactively seek growth opportunities while also detecting early signs of churn risk to support retention and long-term account success.
  
• Build and Curate Financial Services Use Cases: Conduct targeted discovery into clients' unique research workflows and painpoints in order to help them effectively leverage AlphaSense for their bespoke use cases. Continue to seek out and develop new and emerging use cases with clients as AlphaSense’s capabilities evolve.
  
• Forge and Maintain Strong Client Relationships: Engage directly with investment professionals of all levels/seniority at financial institutions to understand their most pressing challenges and goals. Deliver white glove service that puts the clients needs first; going above and beyond to build trust and credibility as a Trusted Partner and Product Expert.
  
• Contribute to Product Development: Translate client feedback and proactively share product & content improvements/enhancement requests internally.

Who You Are:

You have a proven track record of working with Financial Services investors/clients to solve complex problems and are passionate about the application of AI to the industry. You are client-centric and creative thinker with an ambition to continuously improve processes and a desire to contribute to a fast-growing, entrepreneurial team culture. You are a natural problem solver and prioritise white glove service to go above and beyond for clients. You enjoy autonomy and proactively drive initiatives that contribute to long term success. You enjoy cross-functional partnerships and are able to build strong internal stakeholder relationships.

What You Bring:

• Financial Services Expertise: 2+ years’ experience in a Financial Services role, or directly supporting Financial Services clients in a fintech/SaaS organisation, with exposure to workflows in at least one of: Asset Management, Investment Banking, Private Equity/VC, or Hedge Funds.
• Curiosity About Generative AI in Financial Services: A demonstrated interest in the transformative potential of AI for the financial sector, flexible problem-solving skills and knowledge of the competitive landscape for GenAI in Financial Services.
• Executive Presence & Strong Presentation Skills: A proven capacity to engage stakeholders at all levels, earn their trust, and explain technical solutions to business-oriented audiences. Comfort with conducting evaluations of varying lengths/forms e.g. on-site workshops, whiteboard sessions, multi-call demos etc.
• High-Impact, Ownership Mindset: An exceptional ability to thrive on autonomy, tackle client questions and challenges with enthusiasm, and drive workflow transformation at some of the world's biggest financial firms.
• Consultative Approach: A highly articulate, consultative, and confident client-facing professional with the ability to distill and explain complex issues in simple terms.
• Team Player: Superior ability to build and maintain strong internal relationships, combined with a positive and proactive personality.
• Collaboration & Influence: Ability to work cross-functionally and effectively distill client feedback to GTM, Product, and Content teams, in order to continually help influence and improve our capabilities/product offerings.
• A Proactive Mindset with a passion for client success and continuous improvement

Requirements:

• Minimum 2 years of work experience in a high growth fintech/SaaS firm in one of sales, client success, product, or a related client-facing or investment role within the Financial Services industry.
• High aptitude and willingness to learn.
• Outstanding oral, written, and presentation skills.
• Effective attention to detail, time management, and task prioritization, even when under pressure.
• Ability and interest to work autonomously and contribute to a dynamic and entrepreneurial team culture.
• Empathetic, curious minded, client-centric

Join AutogenAI – Revolutionising Bid and Proposal Writing

We’re looking for a Product Designer (Mid - Senior) to shape the next generation of our end to end AI proposal platform, from problem discovery through to polished interfaces. You’ll work across UX and UI, collaborating with Product, Engineering, and Customer teams to define how users collaborate with AI in their day‑to‑day workflows. This is a hands‑on role with room to grow into more strategic ownership as you demonstrate impact.

This is a hybrid role (two days per week in our London office),

What You’ll Do

• Turn problems into product: Partner with Product and Engineering to define user problems, explore solution spaces, and translate them into clear flows, wireframes, and prototypes.
• Design AI‑assisted workflows: Craft interaction patterns that help users co‑write with AI, feel in control, and understand what the system is doing and why.
• End‑to‑end journeys: Take features from discovery to final UI, iterating through research, testing, and collaboration with stakeholders.
• Elevate craft and consistency: Contribute to and evolve our design system so experiences feel coherent, accessible, and visually refined.
• Advocate for users: Run or support research and usability sessions with customers and internal users; bring insights back into product decisions.
• Collaborate to ship: Work closely with engineers on implementation details, edge cases, and QA to ensure what we ship matches the intent of the design.

What You’ll Bring

• Solid experience as a Product Designer working on web‑based SaaS products, ideally in B2B settings.
• A portfolio that shows strong UX thinking, clear problem framing, and high‑quality, production‑ready UI for complex, multi-step workflows — you've designed for products where users navigate intricate processes, multiple user types, or high-stakes decisions.
• Proficiency in Figma and familiarity with modern design and prototyping practices.
• Comfort working in a fast‑moving environment, breaking down complex workflows into simple, usable experiences.
• Strong communication skills, with the ability to explain your decisions, collaborate openly, and give and receive feedback.
• Genuine interest in how AI can augment human work, and curiosity about designing for AI‑driven experiences.
• Exposure to AI‑powered products (e.g. generative AI assistants, copilots, recommendations) and the nuances of designing for trust and explainability.

Nice to Have

• Experience with text‑heavy tools, document editors, or collaboration software.
• Background in enterprise, compliance‑heavy, or proposal/bid workflows.
• Familiarity with accessibility standards and designing for diverse users.

Why Join Us

• Shape a category‑defining product that changes how teams win work, not just how they write documents.
• Work with a high‑calibre, mission‑driven team across Product, Engineering, Design, Sales, and Customer Success.
• Competitive salary, equity, and benefits, including unlimited holiday, hybrid working (two days in London), regular team retreats, and a home office allowance.
• Autonomy, ownership, and the chance to meaningfully influence how design is done and valued at AutogenAI.

Compensation and Benefits:  

• Competitive Salary: £55-75k for Mid and £75-90k for Senior depending on experience and level.
• Stock Options: Meaningful equity in the company. 
• Retirement Plan: Pension scheme to help secure your future.  
• Paid Time Off: Unlimited vacation (Yes, you read right!) 
• Flexible Work Options: This is a hybrid role (two days per week in our London office),
• Private Healthcare: Bupa Medical and Dental cover 
• Life Insurance: Peace of mind for you and your family
• Paid parental leave: 16 weeks if you’ve just given birth, 4 weeks if your partner has just given birth (after one year of year of service) 

Values in Action:

These aren’t just principles we print and forget – they’re how we work, how we treat each other, and how we deliver for our customers. They shape the company we are, and the one we aspire to become.

• Customers, Always: Everything starts with our customers. We walk in their shoes, speak their language, and build for their delight and success. We win when they win.
• Make It Happen: We move fast and take ownership. No waiting, no red tape – just action, urgency, and focus on outcomes. We ask for forgiveness, not permission.
• Learn and Invent: We stay curious. We learn what we can from past masters - and make up the rest. Change is constant, and so is our growth.
• Act Like Owners: Titles don’t solve problems - people do. We own challenges, break the rules when it’s necessary, and focus on what matters.
• Turn It Up to 11: There is no “Good enough”. We raise the bar, push boundaries, and keep building. There’s always a next level.
• Lead With Respect: We listen first, speak honestly, and value every perspective. Integrity, follow-through, and kindness matter.
• Build Trust Through Transparency: We default to openness. We give feedback, share information, and assume positive intent - no secrets, no silos.

Equal Employment Opportunity Statement: 

AutogenAI is an equal opportunity employer dedicated to fostering a diverse and inclusive workplace. We do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by federal, state, or local laws. 

We encourage applications from individuals of all backgrounds, including those with disabilities and veterans. Our hiring decisions are based on qualifications, merit, and business needs.  

At AutogenAI we value the unique perspectives each employee brings and strive to provide an equitable environment. If you require reasonable accommodations during the application or interview process, please let us know, and we will gladly assist you. 

About The Team

The Customer Success organisation is composed of three teams: pre-sales, customer success, and support. The Pre-Sales Consultant will join a team of trusted partners to our Account Executives, working closely with prospective clients through new business sales cycles to demonstrate the value of our platform and help drive new revenue. They are problem-solvers, storytellers, and product experts who thrive on helping customers make better and faster decisions.

Pre-Sales Consultants combine deep product knowledge, commercial acumen, industry experience, and strong client intuition to run high-impact evaluations. This role is specific to the Financial Services vertical, engaging with decision-makers and users to uncover use cases, run tailored demos and evaluations, whilst guiding prospects to successful outcomes. Due to its extensive client exposure, this role is uniquely positioned to partner with cross-functional teams across Product, Content, Sales, Customer Success, Marketing, and Customer Education to inform go-to-market strategy and decisions.

About The Role :

As a Pre-Sales Consultant focused on Financial Services, you will work as part of the sales cycle to bridge the capabilities of our technology with the domain-specific needs and workflows of our clients. You will not only drive value to our clients, but also champion their perspective and play a critical role in defining future use cases in AlphaSense for key personas, including: Asset Management, Investment Banking, Private Equity/VC, and Hedge Funds.

What You Will Do:

• Partner with GTM Teams to Drive Commercial Outcomes: Collaborate closely with Account Executives to take ownership of and run seamless product evaluations in order to drive new business revenue growth.
• Build and Curate Financial Services Use Cases: Conduct targeted discovery into clients' unique research workflows and painpoints in order to help them effectively leverage AlphaSense for their bespoke use cases. Continue to seek out and develop new and emerging use cases with clients as AlphaSense’s capabilities evolve.
• Forge and Maintain Strong Client Relationships: Engage directly with investment professionals of all levels/seniority at financial institutions to understand their most pressing challenges. Build strong rapport with prospects and establish yourself as a credible domain and product expert who is capable of partnering with them and driving value from evaluation inception through to close.
• Contribute to Product Development: Translate client feedback and proactively share product & content improvements/enhancement requests internally.
  
  

Who You Are:

You have a proven track record of working with Financial Services investors/clients to solve complex problems and are passionate about the application of AI to the industry. You are a systems thinker with an ambition to continuously improve processes and a desire to contribute to a fast-growing, entrepreneurial team culture.

What You Bring:

• Business proficiency in both German and English
• Financial Services Expertise: 2+ years’ experience in a Financial Services role, or directly supporting Financial Services clients in a fintech/SaaS organisation, with exposure to workflows in at least one of: Asset Management, Investment Banking, Private Equity/VC, or Hedge Funds.
• Curiosity About Generative AI in Financial Services: A demonstrated interest in the transformative potential of AI for the financial sector, flexible problem-solving skills and knowledge of the competitive landscape for GenAI in Financial Services.
• Executive Presence & Strong Presentation Skills: A proven capacity to engage stakeholders at all levels, earn their trust, and explain technical solutions to business-oriented audiences. Comfort with conducting evaluations of varying lengths/forms e.g. on-site workshops, whiteboard sessions, multi-call demos etc.
• High-Impact, Ownership Mindset: An exceptional ability to thrive on autonomy, tackle client questions and challenges with enthusiasm, and drive workflow transformation at some of the world's biggest financial firms.
• Consultative Approach: A highly articulate, consultative, and confident client-facing professional with the ability to distill and explain complex issues in simple terms.
• Team Player: Superior ability to build and maintain strong internal relationships, combined with a positive and proactive personality.
• Collaboration & Influence: Ability to work cross-functionally and effectively distill client feedback to GTM, Product, and Content teams, in order to continually help influence and improve our capabilities/product offerings.
• Relevant experience includes, but is not limited to: Solutions Engineering, Sales Engineering, Solutions Consultant.

So, what’s the role all about?

As a Delivery Solutions Architect in our Professional Services team, you will empower and support customers and partners to build exceptional AI-driven conversational experiences. You’ll lead the design of virtual assistants and user journeys, support onboarding and solution delivery, and serve as a subject matter expert in conversational design. This role is essential to ensuring project success and driving customer satisfaction through engaging, natural, and effective dialog flows with a strong focus on Conversation Design.

How will you make an impact?

• Use case discovery
• Requirements engineering
• Create dialog flows and scripts
• Define intents and user journeys
• Lead conversation design workshops
• Develop assistant personas
• Deliver partner enablement activities

Have you got what it takes?

• 3+ years conversation/UX design
• Strong English communication skills
• Experience in multimodal user experience
• Understanding of NLU/NLP concepts
• Understanding of Large-Language-Models and prompting

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! 

About Cognigy 

NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages. 

Requisition ID: 10290

Reporting into: Senior Director, Professional Services

Role Type: Individual Contributor

#LI-Remote

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

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’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 – one that’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:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

Note: We are currently recruiting for multiple levels and positions, however please only apply for the role that best aligns with your skillset and career goals.

What you will do 

• Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations.
• Build models to predict the behaviour of physical systems using state-of-the-art machine learning and deep learning techniques.
• Own Research work-streams at different levels, depending on seniority.
• Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems.
• Collaborate with colleagues beyond the research team to translate your models into production-ready code.
• Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non-academic audiences.
• Foster a nurturing environment for colleagues with less experience in DS / ML / Stats for them to grow and you to mentor.

What you bring to the table

• Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering.
• Ability to scope and effectively deliver projects.
• Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills — with teams and customers alike.
• PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following:
  1. operator learning (neural operators), or other probabilistic methods for PDEs;
  2. geometric deep learning or other 3D computer vision methods for point-cloud or mesh-structured data;
  3. generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non-parametric, scaling to large datasets, etc.).
• >2 years of experience in a data-driven role in a professional industry setting (excluding post-doc positions), with exposure to:
  • building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications;
  • developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical);
  • iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance;
  • combining theoretical reasoning with empirical intuition to guide investigation;
  • formulating and running experiment pipelines to benchmark models and produce comparable results;
  • writing skills for communication complex technical concepts to peers and non-peers, tailoring the message for the required audience.
• Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

So, What's the role all about?

As a Senior Solutions Architect, you will design, build, and implement advanced Conversational AI solutions for our customers and partners. Acting as a highly experienced individual contributor, you will manage high-impact projects, provide deep technical insights, and ensure customers achieve maximum value from our platform.

How will you make an impact?

• Advanced Post-Sales Consulting & Implementation: Drive complex projects from pilot/Proof of Concept (PoC) to full implementation, ensuring scalable and high-performance solutions for enterprise clients.
• Technical Expertise: Provide cutting-edge technical solutions, shape architectural best practices, and tackle advanced technical challenges with innovative approaches.
• Collaboration & Support: Partner with cross-functional teams to support business development and contribute insights to enhance product strategies.
• Focused Enablement: Deliver technical training, workshops, and best practices to empower customers and partners with the knowledge needed for success.
• High-Impact Documentation: Develop precise technical documentation and ensure the resolution of complex technical issues to maintain high customer satisfaction

 Have you got what it takes?

• Minimum of 5 years in a similar role within Conversational AI, SaaS, or enterprise software industries, focusing on high-level individual contributions and advanced technical implementations.
• Mastery in Python, Java, Node.js, APIs, SDKs, and cloud-based platforms. Proven experience with Cognigy or equivalent Conversational AI platforms.
• Demonstrated ability to resolve complex technical challenges with scalable and innovative solutions.
• Strong capability to align technical solutions with business objectives and deliver measurable outcomes.
• Exceptional ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
• Must be fluent in English (German is a plus)

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! 

About Cognigy 

NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages. 

Requisition ID: 10200

Reporting into: Director, Professional Services EU

Job type: Individual contributor.

#LI-Remote

So, what’s the role about? 

As a Presales Solution Architect you will be at the centre of designing Agentic AI solutions integrated with Enterprise platforms across CcaaS, CRM, ERP and more. You will bridge business needs with technical realities by defining integrations, ensuring scalability/security, and leading teams through pre-sales design focusing heavily on AI, automation, and customer experience to meet business goals. You will also play a pivotal role in the handover between sales and service teams to ensure a flawless execution during the delivery phase of any customer project.

How will you make an impact? 

• Pre-Sales Leadership: Engage with clients, analyse requirements, create proposals, and present solutions, often involving RFPs/RFIs.  
• Solution Design: Architect end-to-end CCaaS systems, defining technology stacks, integrations (telephony, CRM, AI), data flows, and security.
• Technical Expertise: Deep knowledge of CCaaS platforms, AI/ML (Agent Assist, Bots, Analytics), and cloud services (Azure, AWS).
• Documentation & Standards: Develop solution blueprints, architectural documents, and ensure adherence to standards.
• Stakeholder & Team Collaboration: Work with sales, IT, product, and delivery teams ,and manage client relationships.
• Implementation Oversight: Guide development, manage migrations, provide technical leadership, and act as an escalation point.
• Innovation: Stay current with trends,  technology advancements, and act as a thought leader both internally and externally. 
   
  Have you got what it takes?
• Experience in architecture, solution design, and CCaaS technologies.
• Deep expertise in Conversational AI, Generative AI and Agentic solutions.
• Strong analytical, problem-solving, leadership, and communication skills.
• Ability to translate complex business needs into technical designs and ROI.
• Proficiency with Agile methodologies and enterprise governance.
• Familiarity with major CCaaS vendors, AI/ML, and integration patterns. 

Requisition ID: 9776.
Reporting into: Director, Solution Engineering.
Role Type: Individual Contributor

#LI-Remote

Title:   Sales Development Representative

Function: Sales

Reports to: Manager, Sales Development

Location: United Kingdom - Remote

Position Summary:

As a Sales Development Representative (SDR), you will be responsible for developing demand for the company's products and solutions. In this role, you will establish relationships with prospective customers to create a viable sales pipeline through marketing lead generation campaigns and direct outreach. You will play an integral part in conveying the value of the platform to potential clients, directly impacting the company's future success. Additionally, this role offers opportunities for growth and professional development both within and beyond the department.

Key Responsibilities:

Lead Qualification: Identify, engage, and qualify leads from various marketing channels (e.g., website, conferences, etc.) and ensure they align with the company’s solutions.

• Conduct direct outreach to engage new leads while prospecting into a technical audience, applying a deep understanding of the B2B sales cycle, and effectively handling objections.
• Analyze lead generation trends and optimize outreach efforts based on feedback and performance metrics.
• Utilize phone, email, and social selling techniques to connect with key decision-makers, delivering compelling value propositions tailored to their needs.

Sales & Marketing Collaboration: Serve as a liaison between marketing and sales, actively engaging in marketing campaigns, analyzing trends, and collaborating with Account Executives to nurture key prospects and facilitate a seamless transition from prospecting to closing.

Quota Achievement: Engage new leads through direct outreach while developing a broader understanding of the B2B sales cycle, including prospecting into a technical audience and handling objections. Required to consistently meet or exceed assigned quotas for Booked Meetings and Sales Accepted Leads (SALs) contributing to overall revenue growth.

Pipeline & Performance Tracking: Consistently track and report key sales development metrics, including conversion rates, meeting attendance, and engagement trends.

Tools & Technology Usage:  Use a variety of sales tools (SalesForce, etc.) to maintain and record detailed and accurate records of customer interactions and pipeline.

Gain experience in a fast-paced culture with corporate exposure while contributing to marketing strategies and developing professionally. Proactively seeks knowledge and stays informed about industry trends and innovations.

Skills & Experience Needed:

• Bachelor's Degree Required and/or
• Minimum 1+ years of proven sales development experience (exceeding quota) or customer-facing role engaging prospects while demonstrating strong communication, adaptability, and professionalism.
• Minimum 1+ years working within a CRM system (Salesforce experience preferred).
• Develop and deliver compelling outreach through strong communication skills, while confidently speaking in front of an audience and handling objections effectively.
• Strong organizational and time management abilities, with a disciplined approach to prospecting and follow-ups.
• Ability to thrive in a fast-paced, team-oriented environment while maintaining a high level of self-motivation and discipline.
• Comfortable speaking in front of an audience, whether in team meetings, client presentations, or sales pitches.
• Demonstrate a growth mindset, adaptability, and a commitment to continuous learning, with a willingness to learn and be coached.

Competencies:

Accountability

Adaptability

Applied Learning

AI Curiosity & Innovation

Business Acumen

Collaboration

Customer Focus

Dealing w/Ambiguity

Decision Making

Driving for Results

Initiating Action

Planning and Organizing

Technical/Professional Knowledge/Skills

More about the role:

This role sits at the forefront of digital communications, leading the integration of Generative Engine Optimisation (GEO), Digital PR, and Search strategy. As Associate Director in the Digital Marketing function at Burson, you will shape how brands are discovered, represented, and trusted across AI-driven environments. You will act as a strategic advisor to clients, while driving innovation, commercial growth, and cross-functional collaboration within the agency.

What you'll do:

• Lead the development and execution of GEO and digital influence strategies for key clients
• Translate complex AI and search concepts into clear, actionable insights
• Advise clients on brand visibility, sentiment, and risk in AI-generated search results
• Develop and evolve GEO frameworks, tools, and best practices
• Integrate GEO best practices into PR campaigns to secure high quality coverage and citations
• Integrate SEO, content, and PR strategies to maximise search and AI visibility
• Support the upskilling of cross-functional teams across the fundamentals of GEO
• Support business growth through client development, pitches, and new service offerings

Experience that contributes to success:

• Experience in GEO, Digital PR and/or SEO is essential
• Strong understanding of SEO and content optimisation principles
• A robust understanding of what good looks like in earned media and digital PR campaigns
• Experience translating data and technical concepts into client-friendly strategies
• Demonstrated interest or experience in AI, generative search, or emerging technologies
• Track record of developing and pitching innovative client solutions
• Experience leading teams and collaborating across disciplines
• Strong commercial mindset with the ability to identify growth opportunities

#LI-CYI

Note: We are currently recruiting for multiple levels and positions, however please only apply for the role that best aligns with your skillset and career goals.

What you will do 

• Own Research work-streams at a high-level to deliver outcomes.
  • Align priorities with problem stakeholders, internal and external.
  • Set the technical direction for the stream and apply judgement and taste to drive progress.
  • Plan roadmaps with clear milestones for key decisions and outcomes.
  • Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap.
  • Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment.
• Contribute towards Research group strategy and culture.
  • Identify research areas that would be valuable to the company and champion their development, ordering wrt other research objectives.
  • Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment.
  • Nurture younger colleagues to grow their skillset and guide their professional development.
• The below activities in particular.
  • Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations.
  • Build models to predict the behaviour of physical systems using state-of-the-art machine learning and deep learning techniques.
  • Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems.
  • Collaborate with colleagues beyond the research team to translate your models into production-ready code.
  • Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non-academic audiences.

What you bring to the table

• Ability to scope and effectively deliver projects.
• Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering.
• Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills — with teams and customers alike.
• PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following:
  1. operator learning (neural operators), or other probabilistic methods for PDEs;
  2. geometric deep learning or other 3D computer vision methods for point-cloud or mesh-structured data;
  3. generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non-parametric, scaling to large datasets, etc.).
• Ideally, >4 years of experience in a data-driven role in a professional industry setting, where you have been instrumental in:
  • building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch / CUDA, ideally with exposure to JAX, NumPy / SciPy), especially including deep learning applications;
  • developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical);
  • iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance;
  • combining theoretical reasoning with empirical intuition to guide investigation;
  • formulating and running experiment pipelines to benchmark models and produce comparable results;
  • writing skills for communication complex technical concepts to peers and non-peers, tailoring the message for the required audience.
• Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

As a Sr Generative AI Engineer on the ED&A team, you will build the agentic AI systems that change how Dataiku runs internally. The role is hands-on and end-to-end, you'll work close to the business, turn real problems into working software, and see your solutions through from first conversation to production.

How You'll Make an Impact

Agentic AI Solution Development & Integration

• Design end-to-end AI solutions on Dataiku's platform, leveraging Dataiku Agent Hub, Prompt Studio, LLM Mesh, and Knowledge Banks (Vector Stores), or Python-based frameworks where needed.

• Build and orchestrate multi-agent systems using Dataiku's Visual Agents (simple and structured), as well as code-based frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) as appropriate.

• Integrate and optimize LLM APIs across providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, open-source models via Dataiku's LLM Mesh), applying model routing strategies to balance cost, latency, and quality.

• Implement Retrieval-Augmented Generation (RAG) pipelines, including agentic RAG and GraphRAG, using Dataiku's Knowledge Banks with reranking, dynamic filtering, and document extraction capabilities.

Stakeholder Engagement & Delivery

• Work primarily with the “Revenue” organisation, Sales, BDR, Customer Success, Solutions Engineering, Professional Services, Sales Operations and Marketing (approximately 75% of the role), and apply proven solutions and approaches more broadly across the organisation (approximately 25%).

• Engage stakeholders to gather business requirements, then go further: identify the underlying user pain those requirements represent, and design solutions that address both the stated need and the deeper problem.

• Own projects end-to-end, from requirements intake and solution design through to build, deployment, and handover.

Agent & Tool Development

• Develop autonomous and semi-autonomous AI agents, using Dataiku's Agent Builder, custom Python-based architectures (LangGraph, CrewAI, Claude Agent SDK, etc.), or a combination of both. Exercise judgment on when to leverage platform capabilities and when to build custom solutions.

• Design and build Agent Tools beyond documented examples, including custom API integrations, data retrieval modules, decisioning logic, and automated workflows, pushing past out-of-the-box patterns to deliver solutions tailored to specific business problems.

• Build, publish, and consume MCP (Model Context Protocol) servers to enable agent-to-tool integration across systems, including designing custom MCP servers where needed.

• Develop evaluation and monitoring approaches for agent systems, combining Dataiku's built-in capabilities with custom instrumentation to measure reliability, accuracy, cost, and business impact in production.

AI Governance & Evaluation

• Design and maintain evaluation frameworks (evals) for LLM-based systems, measuring accuracy, latency, cost, and reliability in production.

• Adhere to data governance, security, and regulatory compliance requirements (EU AI Act awareness, responsible AI practices) for all AI solutions.

• Leverage Dataiku's Cost Guard and Quality Guard features to manage LLM spend, enforce usage policies, and maintain output quality standards.

• Work closely with analytics and data engineering teams to maintain metadata on reference datasets for LLM consumption.

Web Application Development

• Create front-end user interfaces for AI applications using HTML, CSS, and JavaScript, within Dataiku's webapps framework, Dataiku Answers for chat-based interfaces, or standalone applications built with Vue.js and Node.js.

• Collaborate on UX design, ensuring internal stakeholders find AI solutions intuitive and responsive.

Continuous Learning

• Provide product feedback to the development team to improve the platform.

• Stay current with the rapidly evolving AI engineering landscape, agent frameworks, model capabilities, evaluation practices, governance requirements, and tools like MCP and A2A protocols.

What You'll Need to Be Successful

Technical Proficiency

• Must have strong Python skills (including familiarity with typical data science and AI engineering libraries).

• Must have hands-on experience building agentic AI systems, multi-agent orchestration, tool chaining, autonomous decision-making, and production deployment of AI agents.

• Experience with modern agent orchestration frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK, or similar); familiarity with LangChain is still relevant but not sufficient on its own.

• Understanding of RAG architectures (vector databases, embedding strategies, agentic RAG, GraphRAG) and when to apply each approach.

• Familiarity with MCP (Model Context Protocol) for agent-to-tool integration, or demonstrated ability to quickly adopt new integration standards.

• Experience with structured outputs, function/tool calling, and prompt engineering across multiple LLM providers.

• Web development fundamentals (HTML, CSS, JavaScript); experience with Vue.js and Node.js preferred. 

• Exposure to AI evaluation practices, building evals, monitoring model/agent performance in production, and iterating based on metrics.

• Comfort with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code, or similar).

• Familiarity with Dataiku a bonus.

Educational & Professional Background

• Bachelor's or Master's in Computer Science, Data Science, Engineering, or a related field; equivalent experience also considered.

• Demonstrated ability to integrate multiple technologies, optimize workflows, and deliver user-friendly AI solutions in a production setting.

Soft Skills

• Strong communication and presentation skills, capable of collaborating effectively with both technical and non-technical stakeholders.

• Problem-solving mindset with a passion for innovation and delivering measurable business value.

• Openness to learning new tools (e.g., Dataiku) and adapting to a rapidly evolving AI landscape.

Location: London, UK

About the Team

The Marketing team at Cloudflare is at the forefront of sharing our mission to help build a better internet. We are a dynamic and fast-paced team dedicated to showcasing Cloudflare's innovative products and solutions to a global audience. Through strategic campaigns, engaging events, and compelling content, we drive awareness, generate demand, and support our company's rapid growth. As an intern, you'll gain hands-on experience leveraging cutting-edge marketing strategies and technologies to directly impact our success.

About the Role

As a Marketing Campaigns & Account-Based Marketing (ABM) Intern, you will play a crucial role in scaling Cloudflare's targeted marketing initiatives to generate engagement and pipeline across our EMEA target account base. This is an exciting opportunity to sit at the intersection of marketing, sales, and technology. You will help us modernize our approach by exploring AI adoption and developing new processes and tools to automate elements of our marketing campaigns. From analyzing audience segments to identifying productivity hacks, your work will directly support our EMEA campaign efforts and help deliver impactful, tailored experiences to our key accounts.

Responsibilities

• Scale 1:Many Marketing Campaigns: Assist in the planning and execution of targeted 1:Many ABM campaigns, helping the team drive engagement and pipeline from our customer and prospect account segments across EMEA.
• Drive AI & Automation: Research, test, and help implement AI tools and automated workflows to increase team productivity, streamline campaign creation, and personalize outreach at scale.
• Cross-Functional Collaboration: Partner with the broader marketing, design, and sales teams to coordinate and execute digital campaign tactics, such as paid media campaigns, webinars, customized email sequences, and direct mail campaigns.
• Data & Engagement Tracking: Help manage and track account engagement and leads generated from targeted campaigns, ensuring data accuracy in our CRM and timely follow-ups from the sales team.
• Performance Analysis: Contribute to campaign analysis by gathering data, analyzing funnel metrics, and providing insights on how to continually optimize campaign efforts.
• Process Improvement: Actively participate in team meetings and bring a fresh perspective, contributing innovative ideas for improving our marketing processes and overall campaign effectiveness.

Skills & Qualifications

• Currently pursuing a Bachelor's degree in Marketing, Communications, Business, Technology, or a related field.
• Available for a full-time 12-week internship, working from our London office 3-5 days a week during the fall (Sept-Dec).
• Strong organizational skills with a keen eye for detail and the ability to manage multiple targeted campaigns simultaneously.
• Excellent written and verbal communication skills, with an understanding of account based marketing strategies.
• A strong interest in marketing technology, AI adoption, and process automation.
• Proactive attitude with a desire to learn, experiment, and contribute in a fast-paced environment.
• Ability to collaborate effectively within a team and with cross-functional partners, particularly Sales.
• Proficiency with standard office productivity tools (e.g., Google Workspace, Microsoft Office).

Bonus Points

• Previous experience (academic or professional) with B2B marketing, lead generation, or Account-Based Marketing.
• Familiarity with generative AI tools (e.g., Gemini, ChatGPT, Jasper) and how they can be applied to marketing.
• Understanding of lead tracking, CRM systems (like Salesforce), or marketing automation platforms (like Marketo).

SLSQ327R186

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

• London 
• Munich
• Paris 

Databricks is seeking a Genie + AI/BI Sales Specialist to help enterprise customers transform how business users interact with data. This high-impact role sits within the AI Go-To-Market team and partners closely with Enterprise Account Executives to drive adoption of Databricks AI/BI and Genie. You will help organizations move beyond static dashboards to governed, conversational, AI-powered analytics at the center of the convergence of business intelligence, data platforms, and generative AI.

Enterprise analytics is rapidly evolving from dashboards and static reporting to conversational, AI-driven decision platforms. Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform. If you want to be at the forefront of AI-powered analytics transformation at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have:

• Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities
• Engage C-level, analytics, and line-of-business leaders to modernize analytics strategies
• Displace or expand legacy BI platforms with AI-powered, governed analytics solutions
• Lead conversations around semantic governance, self-service analytics, and natural language data access
• Drive proof-of-value engagements and scale enterprise-wide adoption
• Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)
• Enable field teams and serve as a subject matter expert on modern analytics architectures

What we look for:

• Enterprise sales experience in BI, analytics, data platforms, or AI/ML
• Strong understanding of modern analytics architectures and data governance
• Ability to sell to both technical and business stakeholders
• Executive presence and experience navigating complex buying cycles
• Passion for AI and the impact of GenAI on enterprise analytics
• Experience operating in a specialist or overlay sales model
• Ability to translate technical capabilities into clear business value
• Strong Enterprise Sales experience, exceeding quotas in larger accounts
• Bachelors Degree or equivalent experience 

Available location(s): London, UK

About the Role and People Team

At Cloudflare, we are helping build a better Internet, and our People Team is at the heart of that mission. We are looking for a highly organized, tech-savvy People Team Intern who is passionate about the intersection of Human Resources and Artificial Intelligence.

You will be embedded in one of these global HR functions to drive project efficiency and help us pioneer the use of AI in the workplace:

• People Operations: Manages the administrative and operational aspects of the employee lifecycle, ensuring smooth HR processes and employee support.
• People Operations Advisory: Partners with People Ops team to ensure our policies are aligned with local employment laws and turn them into operationalised workflows, design resources to support managers and employees. 
• Talent Acquisition: Partners with managers to source, attract, and recruit top talent to fill open positions.
• Talent Growth & Enablement: Designs and delivers programs and resources to develop and retain critical talent, foster professional growth, and amplify career advancement.

What You’ll Do

• Project Management & Execution: Support end-to-end project lifecycles for People Team initiatives. You will keep timelines on track, manage stakeholders, and ensure no detail is overlooked.
• Process Optimization: Identify manual HR workflows and leverage AI solutions to automate and improve them. You will explore ways to use generative and agentic AI to streamline employee communications and internal documentation. You will also work on system automation projects and help with system testing.
• Data-Driven Insights: Analyze people data to identify trends in hiring, retention, and employee engagement. You’ll use these insights to make recommendations to leadership.
• Knowledge Management: Maintain and audit our internal documentation and knowledge base, ensuring that employees have access to the most accurate, up-to-date information.
• Internal AI Advocacy: Become a power user and internal champion for our proprietary tools helping the team leverage these platforms for smarter decision-making.

Desirable Skills, Knowledge, and Experience

• Currently pursuing a Bachelors degree (open to all majors) or relevant HR program.
• Exceptional Organization: You are the person who has a spreadsheet for everything. You can juggle multiple projects without dropping the ball.
• Detailed-Oriented Mindset: You catch the data integrity issues others miss and care deeply about the "small things" that impact employee experience.
• AI Fluency: You are familiar with AI tools and how they can be applied to improve business processes and improve team efficiencies. Experience with LLMs or automation tools is a major plus.
• Data Literacy: You are comfortable analyzing data and understand how to use it to tell a story or solve a problem.You are a master of spreadsheets and data visualization.
• Adaptability: You thrive in a fast-paced environment and are comfortable pivoting between different teams and priorities.
• Communication: Strong written and verbal skills, with the ability to explain complex processes simply.
• Ability to commit to a minimum 12 week summer internship.
• In office 3-5 days a week in London office.

Bonus Points

• Experience managing internal Wikis (e.g., Confluence, Notion).
• Familiarity with HR compliance, processes, program administration, and tools.
• A background in Project Management (PMO) or Business Operations.

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases.

Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases. 

 At Aerospike, we dream big and deliver even bigger. Our mission is to unleash the power of the world’s real-time data with a database built for infinite scale, speed, and sustainability.

If you're ready to shape the future of data, join us.

Senior Support Engineer

Location: UK 
Experience Level: 7–10+ years

We are seeking an experienced and driven Senior Support Engineer to join our Global Customer Support team. In this role, you will be responsible for investigating, diagnosing, and resolving complex customer issues with the Aerospike Real-time Data Platform. You’ll work closely with engineering, technical writers, and client services to deliver exceptional support and help customers achieve success with Aerospike at scale.

What You’ll Do

• Troubleshoot and resolve technical issues for Aerospike customers across diverse environments (cloud, hybrid, on-prem).
• Collaborate cross-functionally with Engineering to drive resolution of complex problems and contribute to product improvement.
• Participate in real-time customer remediation efforts and live incident resolution.
• Act as a customer advocate to ensure timely and accurate issue resolution.
• Support enterprise customers with mission-critical systems and real-time data use cases.
• Assist with new deployments, configuration guidance, and performance tuning.
• Write and maintain high-quality documentation and Knowledge Base articles to scale support capabilities.
• Contribute to a collaborative, agile, and globally distributed support team.
  
  

Qualifications

• Proven experience (7–10+ years) in technical support, systems engineering, or related roles.
• Deep proficiency with Linux (certification is a strong plus).
• Solid understanding of distributed systems and high-availability environments.
• Hands-on experience with NoSQL or similar database platforms (Aerospike experience is a bonus).
• Familiarity with hybrid and cloud infrastructure (AWS preferred).
• Excellent problem-solving and diagnostic skills; ability to troubleshoot complex technical issues.
• Strong written and verbal communication skills.
• Comfortable in a dynamic environment; self-starter with a growth mindset.
  
  

Nice to Have

• Previous experience in enterprise software technical support.
• Exposure to Kubernetes, Docker, or other container orchestration systems.
• AWS certification or experience with large-scale cloud deployments.
  
  

Education

• Bachelor’s degree in Computer Science, Engineering, or a related technical field—or equivalent practical experience.

Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.