Trabajos sales agent en LondonCrear alertas

Vehicle Warranty Sales Executive - Fully Remote \n £21,780 - £80,000+ OTE | Uncapped Commission | No Cold Calling \n Location: Remote - UK or Overseas \n Job Type: PAYE or Contract \n Basic Salary: £21,780 per annum (PAYE) plus commission \n Warm Leads. No Cold Calling. Uncapped Earnings. \n Are you an experienced telesales professional who knows how to close deals and wants to earn more? \n Buyawarranty is expanding and we're looking for confident, motivated Sales Executives to join our remote UK vehicle warranty sales team. \n We provide warm and hot leads from customers already interested in vehicle warranty cover. You focus on converting enquiries into sales and earning commission. \n What Can You Earn? \n\n • New Starters: £25,000 - £35,000 OTE\n, • Experienced Sales Executives: £35,000 - £50,000 OTE\n, • Top Performers: £50,000 - £80,000+ OTE\n\n Earnings are performance-based, with uncapped commission, enhanced rates for high performers and monthly incentives. Figures are based on current sales performance. \n Why Join Us? \n\n • No cold calling - warm and hot leads provided\n, • Uncapped commission on qualifying sales\n, • Monthly bonuses and performance incentives\n, • Fully remote working - UK and eligible overseas locations\n, • Full product training and ongoing support\n, • Flexible working arrangements\n, • Supportive UK-based team\n\n What You'll Be Doing \n\n • Speaking with customers who have already enquired about warranty cover\n, • Converting warm leads and quotations into sales\n, • Recommending suitable warranty products\n, • Following up on enquiries and closing deals\n, • Managing customer records through our CRM\n\n What We're Looking For \n\n • Minimum 2 years telesales experience - essential\n, • Strong closing and objection-handling skills\n, • Confident, professional telephone manner\n, • Self-motivated and target-driven\n, • Comfortable working remotely and using CRM systems\n\n Experience in vehicle warranties, insurance, automotive sales, car finance or call centre sales is an advantage, but not essential. \n What You'll Need \n A reliable internet connection, laptop or desktop computer and a quiet home-working environment. Headset, training and system support provided. \n Ready to Earn More? \n If you're a confident sales closer looking for quality leads, excellent commission opportunities and the freedom to work remotely, we want to hear from you. \n Apply today and put your sales experience to work with Buyawarranty.

Our client close to Heathrow is looking for an Export Consol Operations agent \n Job summary \n \n The position is focused on building and operating the company Export Consol Program. By doing so improving our buying power and ultimately the profitability of the company. Alongside profitability we expect to improve and enhance the customer service provided to our customers. You will also be involved in the completion of customs clearances, quotes, arranging shipments and associated documents with focus on consolidation of shipments where possible, flight tracking, cost approval, invoicing, rate negotiation and any other functions as required. The individual should be prepared to be involved multi modal activities as required and provide support to the supervisor during holiday and absent periods from the office. \n \n Key Activities \n \n • Remain in contact with Partners, Airlines and other suppliers to maintain relationships \n • Cost control and rate negotiation \n • Manage and monitor airline bookings \n • Understanding and in some cases completion of end-to-end forwarding activities as the individual role requires \n • Focus on communications between office and warehouse \n • Focus on and improve processes and ultimately customer service \n • Follow strict and time sensitive SOP’s/KPI’s to ensure compliance \n • Work closely with internal and external customers \n • Use of CargoWise/MS office as requested \n • Ensure invoicing and job costing are updated within the required timeframe \n • Month end department compliance \n • Customs Entries and closing of MUCR’s \n • Assist Supervisors and line managers where required \n • Ensure all reports including internal and customer specific are completed within the deadline \n • Resolve queries from customers and suppliers \n • Ensure Best Practice models are adopted \n • Work closely with the line manager to complete Internal and external rates reviews. \n • Assist sales and management with consol development \n • Communicate between office and warehouse \n • Assist the warehouse team with the management of airline deliveries. \n • Operate within companies QA system \n • Always remain customs and H&S compliant \n • Any other tasks as directed by their Supervisor or line manager \n \n Technical Experience \n \n • Fully PC literate on excel and word applications \n • Educated to GCSE/O’ level standard or equivalent \n • Good Customs clearance knowledge \n • Good operational knowledge \n • A high level of customer service skills \n \n Behavioural Competencies \n \n • Problem solving skills \n • Procedure and SOP writing skills and ability to work within these. \n • Customer service driven \n • Result-oriented and driven to achieve goals and meet targets \n • Profitability and result-oriented and always looking for improvement in our business processes \n • Team oriented \n • Well organised \n • Quality focus \n • Good Knowledge of CargoWise \n • Knowledge of Customs Tariff and Procedures \n • Financial Awareness \n • Negotiation Skills \n • Willingness to work flexible hours as the business requires \n • Self-motivation and drive to succeed. \n \n The salary will be up to £38K depending on experience \n \n The hours will be circa 0900-17.30 \n \n Please send your CV to Kellie Buckley \n \n • We are only able to accept applications from candidates with previous experience for this role. \n If you do not hear from us your application has been unsuccessful. \n \n

Implementation & Delivery Manager - Rapid-growth FinTech / AI Platform - London / Hybrid – Highly competitive salary \n We have an incredible opportunity for an experienced Implementation / Delivery Manager, with a FinTech background, experience in onboarding and exceptional communication and interpersonal skills, to join a fantastic Fintech AI Platform as soon as possible. \n The Opportunity: \n This is the perfect opportunity to join an immediately successful fintech startup,in a crucial role that is intrinsic to ensuring ongoing success. \n The Implementation and Delivery Manager will undertake a hands-on delivery role in a small, senior team. You will run several concurrent implementations end-to-end, being the client’s key point of contact and you will own the journey from signed contract to clients being live and getting the outcome they have bought. \n Working closely with the Sales and Engineering teams, you will be the voice of delivery internally, feeding back what you learn onsite into product, connectivity and the go-live playbook. \n We’re looking for individuals who have a proven track record of running multiple concurrent implementation projects within treasury, payments, banking or finance software to corporate clients. You will be comfortable dealing with senior-level finance professionals (Treasurers, Controllers and CFOs) and will proactively own outcomes, not tickets – you would rather fix the playbook than repeat a workaround. \n \n Key responsibilities as the Implementation and Delivery Manager will include: \n\n • Implementation delivery – running implementations end-to-end, leading the discovery, coordinating the connectivity, configuring accounts, and owning go-live readiness\n, • Project governance – maintaining a clear plan, running weekly client project calls and internal delivery stand-ups, controlling scope against what was sold and tracking implementation revenue milestones\n, • Managing client relationships – acting as the trusted point of contact from contract signature to steady state, training users, producing the client-specific runbooks and handover pack and identifying expansion opportunities\n, • Internal coordination and improvement – challenging gaps in scope or assumptions before kick-off, feeding product gaps, connectivity issues or recurring issues back to Engineering and Product, owning and improving the implementation playbook and contributing delivery content to RFP responses and client due diligence\n, • AI delivery – mapping client’s current workflows and designing automation, starting with automations that deliver early, visible wins; helping finance teams to build trust in agent-driven work\n\n And more! \n What we’re looking for: \n\n • Demonstrable experience implementing or delivering treasury, payments, banking or finance software to corporate clients – c4+ years\n, • Experience working at a TMS or bank implementing for enterprise clients is highly advantageous\n, • Working knowledge of corporate treasury, FX and investments, intercompany and in-house banking\n, • Experience onboarding bank connectivity\n, • Solid track record of running multiple concurrent implementation / delivery projects\n, • Excellent written and spoken communication skills\n, • Experience liaising with senior-level financial professionals\n, • Exposure to ERP integrations and accounting close processes is beneficial\n, • Experience of, or keen interest in, AI, AI-assisted or agent-driven workflows is desirable\n, • Hands-on experience of configuration, data mapping and UAT\n, • Calm approach – calm under go-live pressure\n, • Good business acumen with an entrepreneurial spirit\n, • Ability and desire to work in a fast-paced, rapid-growth environment\n, • Highly ambitious, driven and focused\n\n \n Interested in this fantastic opportunity? \n If this role is of interest to you and you have the implementation / delivery experience we’re looking for, we’d love to hear from you! Please submit your CV as soon as possible, quoting 'AE – FinTech Implementation and Delivery Manager’ \n

Pear Recruitment - Senior Sales Negotiator Location - Shoreditch Hours - Monday to Friday 9:30am – 6pm Salary - £28,000 – OTE £60,000 Drivers Licence – Not required Our client is an independently owned property company based in the heart of the Shoreditch. They are looking for a Senior Sales Negotiator to work in their trendy branch. By utilising over 50 years of combined experience, they offer a tailored service for their clients, delivering some of the most unique and inspiring property in London. Taking care of every aspect of the buying, selling, letting and renting of properties, their in-depth understanding of the market, along with a proven track record, sets them apart from the usual high street estate agent. Key Responsibilities: Valuing residential properties and advising clients on pricing strategies. Marketing properties and arranging viewings. Negotiating offers between buyers and sellers to achieve successful sales. Managing the sales process from offer acceptance through to completion. Building and maintaining strong relationships with vendors, buyers, solicitors, and mortgage advisers. Providing expert advice on local property market trends and conditions. Meeting and exceeding sales targets and key performance indicators (KPIs). Following up leads and generating new business opportunities. Resolving issues that arise during the sales process to keep transactions on track. Maintaining accurate records using customer relationship management (CRM) systems. Ensuring compliance with relevant property legislation, company policies, and industry regulations. Representing the company professionally and delivering excellent customer service at all times. Key Competencies: Deliver excellent customer service Always presented immaculately. Strong time management skills Enhanced communication skills to ensure engagement across the business. Use initiative to solve problems and stay focused on department objectives. Hungry to secure new business and help the company grow. Follow company processes and procedures well. Improve sales skills and be up to date on legislation and industry updates. Ability to remain calm and positive in all situations and under pressure. Have a flexible and adaptable approach. Solutions and results focused. Ability to meet deadlines and follow company process. If you are interested in this Senior Sales Negotiator role and would like to know more, please email your CV or telephone us on a strictly private and confidential basis for an informal discussion. Recommend a friend - Do you know someone looking for a position? If you recommend them to us, we have a fantastic referral fee to offer! Please contact us for more information. Due to the number of responses we receive to our advertisements we are unfortunately unable to respond individually to each applicant. If you do not hear from us within 7 days, you may assume you have not been selected this time - but please apply for anything you feel you are suitable for and thank you for your interest in PEAR Recruitment. Confidentiality – All communication with us is treated with the upmost confidentiality and you will always be advised if your CV is being submitted to a client

Exciting opportunity for a Luxury Travel Sales Agent to join a friendly team in Southwest London. As the Travel Sales Agent, you will be responding to enquiries created online and through our own database of customers. Arranging all aspects of business and luxury travel itineraries, including flights, transfers, accommodation, excursions etc. This role is office based in Southwest London working Monday - Friday . The Job: Working with a wide variety of business travellers and luxury holidaymakers Arranging all aspects of the client's travel Handling all enquiries with exceptional customer service and in a professional manner Offering expert advice i.e., best value/most effective carriers, accommodation etc. Working well as part of a busy but friendly and supportive team Skills Required: Previous Travel experience In-depth knowledge of a GDS Strong knowledge of long-haul travel destinations and Worldwide geography Excellent relationship building and customer service skills. Keen attention to detail Able to articulate well; good clear telephone voice. Professional approach always The Package: Salary: £26,500 plus uncapped commission * Hours: 9am to 5:00pm Monday to Friday Interested: If you would like to apply for the above vacncy click 'APPLY' or email (url removed)

About Us Founded in 2020, NOS is a commercial real estate services business that specialises in bridging commercial landlords and occupiers with their desired supply chain globally. Through telemarketing, market intelligence, data analysis, and business consulting, we help clients identify and capture opportunities across the commercial real estate landscape. Based in the UK and South Africa, we deliver innovative solutions to clients across the United Kingdom, North America, and the EMEA region. Since 2021, we’ve helped our clients secure over £48.6 million in revenue, with a further £3.8 billion in active construction pipeline. As a fast-growing business, we’re big on culture and we define “NOStronauts” as those who sweat the small stuff, aren’t afraid to roll up their sleeves, obsess over client satisfaction, love helping others, and are continuously looking to grow as professionals. Sales Executive Role Description: Location: 77 Marsh Wall, Canary Wharf, London. Salary: £34,500 - £40,000 (Subject to experience). Commission: Uncapped (OTE £43K - £50K). Business hours: 08:30-17:00. Working days: Monday-Friday. This is an office based role, reporting to the Head of Client Relations. In this role you will be responsible for managing and the delivery of telemarketing campaigns for our existing clients. Within this role you will have full responsibility for the services delivered to set client(s). You will be given a full understanding of our clients expectations to ensure that our solutions are delivered on schedule and to our client's satisfaction. You will integrate seamlessly and have direct contact with clients while adhering to our values and operating procedures. Sales Executive Key Responsbilities: Secure new business opportunities for your assigned client, through cold telephone outreach on our CRM. Ensure seamless delivery of services to assigned client(s), maintaining the highest standards of quality. Manage client relationships, engaging effectively with key contacts, decision-makers, and influencers. Develop a deep understanding of our client’s priorities, strategy, and organisational structure to identify opportunities for NOS to add value across their business. Lead or actively participate in regular client review meetings. Collaborate with the Head of Client Relations to create tailored account development plans. Provide accurate and timely weekly and monthly reports, both internally and to externally. Maintain up-to-date records of all client activities and progress within the internal CRM system. Ensure full compliance with all statutory, operational, and company policies. About You as a Sales Executive: Inquisitive with the ability to listen and ask the right questions. You have the ability to prioritise your workload and to multi-task. You’re a natural communicator with great interpersonal skills. A good negotiator. A storyteller with an engaging personality. Fearless attitude. You love contributing and working in diverse team. A diligent professional who’s obsessed with customer satisfaction. Ambitious and self-motivated, with a desire to learn, develop, and progress. Great written and spoken English. Sales Executive Ideal Experience: EThis role is well suited to candidates with a background in recruitment, media sales or onsite lettings agent experience. Outbound or Inbound Telesales experience is a must. Understanding of B2B sales or client management is advantageous, however, not a must. Knowledge of the commercial real estate is advantageous, however, not a must. Experience of managing SLAs / KPIs. Experience using CRM systems. Experience using MS Office suite - particularly Outlook. NOS is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, age, religion, sex, sexual orientation, gender identity/expression, national origin, or any other characteristic protected under law

Dutch-Speaking Travel Agent Location: London – moves to Hybrid after training Salary: £12.79 - £14.30 per hour Contract: Temp to Perm Hours: 37.5 hours between 8am to 8pm Monday to Friday and 8am to 5pm Saturday and Sunday – only 2 weekend days per month with a day off in Lieu The Opportunity Are you a fluent Dutch speaker with a passion for sales, travel and delivering an excellent customer experience? We’re recruiting for a Dutch-Speaking Inbound Sales & Customer Service Agent to join a busy, high-performing customer contact team supporting customers with holiday bookings and enquiries. This is an inbound role where you’ll speak with customers who are already interested in booking. Your job will be to understand what they’re looking for, confidently recommend the right options and turn enquiries into confirmed bookings. You’ll also have opportunities to increase the value of each booking by recommending relevant upgrades, activities and additional services. What You’ll Be Doing Handle inbound sales and customer service calls Convert customer enquiries into confirmed holiday bookings Understand customers’ needs and recommend suitable options Use confident and persuasive sales techniques to secure reservations Identify opportunities to upsell upgrades, activities, additional products and extended stays Assist customers with booking changes, cancellations and confirmations Deliver an excellent customer experience throughout every interaction Work towards and exceed individual and team sales targets and KPIs What We’re Looking For Fluent Dutch is essential for this position. You’ll also need: Proven sales experience Confidence influencing customers and closing sales Strong communication and interpersonal skills A natural drive to achieve and exceed targets Excellent attention to detail The ability to multitask in a fast-paced environment A professional, motivated and resilient approach The ability to work independently while contributing to a successful team * An understanding of contact centre KPIs Previous experience within travel, hospitality, retail, telecoms or a contact centre environment would be particularly beneficial. Apply If you’re a fluent Dutch speaker with proven sales experience and you’re ready for your next opportunity, apply today with your CV. Further information about the organisation and role will be shared with suitable candidates during the recruitment process

Marketing Manager - PBSA Location: Shoreditch, London Salary: Up to £50,000 DOE Working Pattern: 4 days in the office, 1 day working from home I'm currently recruiting for a Marketing Manager on behalf of a growing purpose-built student accommodation (PBSA) operator in London. This is an exciting opportunity to take ownership of the marketing strategy across a growing portfolio of student accommodation properties, driving occupancy, increasing brand awareness and maximising booking conversions. The successful candidate will play a key role in developing and delivering multi-channel marketing campaigns, managing digital performance and ensuring a consistent brand experience across all properties. Key Responsibilities Marketing Strategy & Campaigns Develop and deliver annual marketing plans aligned with occupancy and revenue targets across the portfolio. Plan and execute campaigns around the student booking cycle, including early-bird offers, rebookers, referrals, group bookings and summer stays. Monitor campaign performance and optimise activity to maximise enquiries, bookings and return on investment. Support marketing strategies for new property launches and pre-opening activity. Brand, Content & Communications Maintain brand consistency while showcasing the individual identity of each property. Oversee content across social media channels, including Instagram, TikTok and YouTube, alongside photography, video and virtual tours. Manage photo and video shoots, working with external suppliers from initial briefing through to final delivery. Develop marketing collateral for students, parents, universities, agents and other partners. Work with PR partners to increase brand awareness, media coverage and online visibility. Digital Marketing & Acquisition Manage paid search, paid social, SEO and emerging generative engine optimisation (GEO) activity. Oversee relationships with external digital marketing and SEO agencies. Drive enquiry generation and improve conversion rates across all marketing channels. Support international student acquisition through relevant digital platforms and agent networks. Website, CRM & Customer Journey Take ownership of the website and landing pages, ensuring content is accurate, engaging and optimised for conversion. Manage CRM and lifecycle marketing activity through HubSpot or a similar platform, including email campaigns, automated workflows and WhatsApp communications. Maintain accurate lead data and ensure enquiries are effectively routed to on-site sales teams. Develop customer communications covering enquiries, bookings, onboarding, resident feedback and promotional campaigns. Manage external listings across agent networks and affiliate platforms. Resident Experience & Reputation Support on-site teams in maintaining high presentation standards across show flats and marketing spaces. Work with property and community teams to promote resident events and ensure activity aligns with the brand. Develop campaigns to encourage resident reviews and improve ratings across Google and relevant student accommodation platforms. Manage resident feedback initiatives and use insights to improve the customer experience. Reporting, Budgets & Market Insight Monitor competitor activity and market trends, providing regular insight to senior leadership. Track key marketing metrics, including enquiries, conversion rates, cost per booking and occupancy performance. Manage central and property-level marketing budgets, reporting expenditure against plan and supporting forecasting. Manage agencies, freelancers and suppliers, ensuring delivery against agreed budgets, deadlines and performance targets. Use customer feedback and market intelligence to inform marketing, pricing and product decisions. About You Essential Experience At least five years' experience delivering multi-channel marketing campaigns against commercial, revenue or occupancy targets. Strong hands-on experience across digital marketing, paid media, SEO, website management and content creation. Experience managing CRM platforms, including email marketing and automated customer journeys. A data-driven approach, with the ability to analyse campaign performance, measure ROI and manage budgets effectively. Proven experience managing external agencies, suppliers and internal stakeholders. Strong organisational skills, with the ability to prioritise competing deadlines and take ownership of projects. Excellent attention to detail and a strong understanding of brand positioning and customer experience. A proactive, collaborative and solutions-focused approach. Desirable Experience Background in real estate, hospitality, build-to-rent (BTR) or purpose-built student accommodation (PBSA). Experience in international student marketing or working with student recruitment agents. Involvement in launching new developments, venues or products. Familiarity with WordPress, Canva and basic video editing. Additional Information Based at the operator's head office in Shoreditch, London. One work-from-home day per week. Flexibility to work additional hours where required by the needs of the business. Interested? If you have a strong background in multi-channel marketing and are looking for an opportunity to make a real impact within a growing PBSA operator, please get in touch to discuss the role in more detail. To apply or find out more, contact me directly

Job Title: Sales Agent – Premium Location Store (High Commission + Security) Location: Premium Location Stores Salary: Unlimited Commission (Paid Bi-Weekly) min, £70 per shift Job Type: Full-time / Self-Employed / Sub-Contractor Are you the next top-performing Sales Agent? We are looking for a hungry and ambitious Sales Agent to join our team at our Premium Location Store. If you are a natural communicator who loves the thrill of the "close," this is the role for you. Whether you are a seasoned pro or looking to break into the industry, we provide the platform for every Sales Agent to earn without limits. The Role As a Sales Agent, you will be the face of our brand in a high-footfall environment. Your mission is simple: Demonstrate: Showcase our products to potential customers with enthusiasm. Convert: Turn interest into action and close sales on the spot. Represent: Maintain a professional and positive image for the company at all times. What’s in it for you? We believe in rewarding hard work. Every Sales Agent on our team benefits from a "best of both worlds" pay structure: Security: A guaranteed £70 per shift to keep your base covered. Unlimited Earnings: High commission rates with no earning cap. Bi-Weekly Pay: Get your commissions paid every two weeks—no long waits for your money. What we’re looking for We value positive attitude over everything else. While we prefer a Sales Agent with Field Sales or Door-to-Door experience, we welcome applications from all backgrounds if you have the right spark, are happy around people and want to make money. Competitive Spirit: You love to win and hit targets. Strong Communicator: You can build rapport quickly in a busy store environment. * Requirements: You must be a Sales Agent with the right to work in the UK on a self-employed basis for over 20 hours per week. WE HAVE EXCITING OPPORTUNITIES AT HAMLEYS & HARRODS Join our team as a Sales Agent & RC Toy Demonstrator at Hamleys and take on the thrilling role of engaging customers with our range of remote-control toys. You'll be the highlight of the Hamleys store, showcasing our best high-flying action products. Eligibility Requirements: -Right to Work in the UK & ID: You must be legally authorised to work in the United Kingdom. -Passion for Play: You love games, toys, and the thrill of competition. -Customer-Centric Attitude: Engage with visitors and provide exceptional service. -Team Player: Collaborate with fellow demonstrators and store staff to create a magical experience. Uncapped Commission: Your hard work will be rewarded with commission-based incentives. Staff Discount: Enjoy discounts at Hamleys, and Buzz Retail Ltd. If you're passionate about toys and creative, with a drive to make money, confident in your sales abilities, and eager to spread joy to Hamleys' customers, we want to hear from you! **This is a Self-Employed Role, with a completion amount of £70 shift (not do be confused with dayrate). NO CAP commission

We are seeking an experienced Estate Agent Sales Manager for a busy successful Estate Agent based in Purley. Strong relationship-building skills with a proven record of turning valuations into sales. Manage sales and provide advice to customers.

We are seeking an experienced Estate Agent Sales Manager for a busy successful Estate Agent based in Purley. Assist the Branch Manager in motivating and managing the team. Strong relationship-building skills with a proven record of turning valuations into sales.

We are seeking an experienced Estate Agent Sales Manager for a busy successful Estate Agent based in Purley. Manage sales and provide advice to customers. Strong relationship-building skills with a proven record of turning valuations into sales.

AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor's $60B exit to SpaceX, and Cognition's $48B valuation. AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor's $60B exit to SpaceX, and Cognition's $48B valuation. The bottleneck now has moved from code generation to security and safety - AI agents write code faster than any team can review it, and over 65% of the lines of code produced by them are insecure. Vulnerabilities are piling up 16x faster than companies can fix them, and adversaries are able to exploit these new vulnerabilities within hours. AURI by Endor Labs closes that gap. It runs inside the harness where coding agents work, through hooks, skills and MCP, so the controls sit outside the model and every agent action is visible. Underneath is our patented code context graph, which maps code, open source, containers and infrastructure. It shows which vulnerabilities can actually be reached and exploited, then delivers fixes that won't break the application. Security teams get evidence instead of noise, and developers get fixes instead of tickets. The companies building AI trust us to secure it - our customers include OpenAI, SpaceX, DoorDash, Dropbox, Atlassian, MongoDB, Snowflake, Robinhood and Peloton to name a few. Endor Labs is the third company from Founder & CEO Varun Badhwar, who built Prisma Cloud, the platform that helped define cloud security, from $0 to $300M ARR at Palo Alto Networks. We've raised $163M from Lightspeed, Coatue, DFJ Growth, Salesforce Ventures and Dell Technologies Capital. Software runs everything around our lives today - banking, hospitals, airports and power grids. AI now writes more of it every day, and our mission is to make sure the world can trust that software. Come build that future with us. • Educate with Enthusiasm: Elevate awareness about Application Security and Software Supply Chain Security. It's about making security engaging and accessible to developers everywhere., • Master Our Tech: Deep dive into our supply chain security product suite and emerge as the go-to expert and evangelist., • Deliver Tailored Demos: Showcase our solutions in a way that speaks directly to the needs and challenges of our customers. Be the architect of captivating, solution-oriented presentations., • Shape Customer Outcomes: Collaborate with our engineering and product teams to design solutions that genuinely address customer challenges. Your insights from the field will directly influence our product development, ensuring we always meet our customers' evolving needs., • Facilitate Customer Success: Guide customers through onboarding, ensuring a smooth transition and adoption of the Endor Labs solution. Your goal is to empower customers to leverage our technology fully and ensure they achieve their security and development objectives., • Rich Experience: You have experience in pre-sales or a similar customer-facing, technical role. You're no stranger to technical deep dives, product demonstrations, and leading evaluations., • Strong Technical Foundation: A solid understanding of modern software development practices, including backend or full-stack development experience, CI/CD pipelines, Git-based development workflows, and DevOps tooling. You're comfortable engaging deeply with engineering teams and understanding how modern applications are built and deployed., • Application Security Awareness: Familiarity with application security concepts, software supply chain security, and/or identity & access management principles. You understand the importance of securing developer workflows and modern cloud-native environments., • Tech Savvy: A robust understanding of the Developer, DevOps, Application Security, and open-source ecosystems. Hopefully, you can meet developers where they are and flex some programming skills., • Customer & Sales Skills: You've successfully engaged with technical customers at an Enterprise level and know how to articulate complex solutions and operate in a sales cycle., • Curious and Eager to Learn: Always on the lookout for new technologies and understanding the intricacies of how things work., • Collaborative Spirit: You thrive in a team setting and value diversity and inclusion in every interaction., • Action-oriented: You prefer actively solving customer problems and asking for help as needed., • Go to extraordinary lengths to distinguish ourselves through world-class work., • Prioritize quality over speed, and speed over scope., • Desire to work with deeply kind, mission-driven people., • Strive to make the complex simple., • Use first principles to debate ideas, test assumptions, and make decisions., • Seek the truth by putting data above opinions., • Assume good intent and give tactical feedback to help each other get better., • Hold no ego—when our customers win, we all win., • Competitive salary and comprehensive benefits package including Health, Dental, Vision and Mental Health plans., • 401(k) plan to support your longterm financial goals., • Flexible PTO to maintain a healthy work-life balance (we want you here for the long-haul!), • Opportunities for co-working and team meetups to foster collaboration., • A dog-friendly office environment for those who love to bring their fur babies along. We celebrate diversity and are committed to creating an inclusive environment for all employees. Even if you don't fit every requirement above, we believe in the power of diverse perspectives and experiences, so we encourage all talented individuals to apply—there's no one-size-fits-all here. For candidates who receive an offer for this position, the compensation range is expected to be between $190,000 - $250,000. This may include additional incentives such as commission targets, restricted stock units, and/or bonuses, depending on the role. #J-18808-Ljbffr

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. At Salesforce, we are seeking a dynamic and visionary leader to join our team as Regional Vice President of Sales for UKI. In this pivotal role, you will own the Agentforce sales team, driving long term growth, encouraging long lasting client relationship, and harness groundbreaking technology to redefine engagement with our customers. This role requires a strong technical background, deep expertise in AI-driven solutions, and shown leadership in building high-performance sales team. Salesforce Agentforce; our flagship innovation, harnesses the power of real-time data analytics and AI to redefine Customer 360, enabling scalable, high-impact customer interactions. As the leader of this team, you will set the vision and lead the crafting of customer engagement and deliver ground-breaking results! We are looking for Sales leaders with deep AI knowledge and strong experience in selling complex technology solutions, understanding cloud-based services, and designing B2B solutions and B2C solutions. Collaborating with your team and potential clients, you will understand their needs and challenges, showcasing how Agentforce can solve their most critical business goals. • Build, encourage, and lead a high-performing sales organization. Attract, mentor and develop top talent while encouraging a culture with perfection and accountability., • Define and implement a clear and compelling vision to exceed revenue targets. Develop and implement sales strategy, handle quotas, and identify new growth opportunities across the region., • Lead your team through technical discovery sessions, understanding a client’s business challenges and showcasing how Agentforce’s capabilities can deliver impact at scale, • Develop strong executive relationships with key customer partners, aligning on long-term strategies and growth opportunities., • Identify new opportunities within industry verticals, expand existing accounts, and explore new business channels, partnerships, and routes to market., • Implement standard processes for forecasting, deal progression, and pipeline management using Salesforce CRM., • Establish meticulous operation cadence within your team driving forecast accuracy with a keen view on deal progression, sales stage verification, and pipeline coverage., • Develop, implement, and drive AI consumption and adoption sales motion within your territory, ensuring your customers realize the full potential of Agentforce’s AI crafted solutions., • Work closely with Product, Customer Success, Marketing, and other Salesforce teams to ensure alignment and seamless execution across the business., • Consistent track record in leading and scaling high-performance sales teams in a fast-growth environment with a focus on hiring, retaining and developing talent., • Deep understanding of AI and machine learning concepts, understanding of the agent platform, how to configure and set up agents, hook them into existing flows, automation, API connection, etc., • Shown ability to exceed sales goals within the context of highly technical sales., • Strong executive presence and experience in building long-term relationships with senior customers., • Outstanding communication and negotiation skills honed through your experience., • A history of consistently surpassing sales targets within a technical sales environment, underscoring your mastery of proficiency in sales processes., • A Bachelor's degree or equivalent experience with extensive background in technology sales., • Experience of selling Integration and/or SaaS highly advantageous., • Achieve year-on-year growth expectations for Agentforce within your region and territory, • Position Agentforce as the key platform to craft customer engagement, delivering ground-breaking results for our clients, • Build, and champion first class Sales organization attracting top talent within the industry, • Drive high retention, consumption, and expansion of Agentforce within strategic accounts, delivering outstanding customer success! When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Location: London | Work Style: Office-Flex At Salesforce, we believe AI is only as powerful as the trusted context that supports the actions it takes. We are looking for you to lead the charge in the Agentic Era, building deep specialism in Agent Fabric - the governance and orchestration layer that lets AI act safely and effectively inside the enterprise. You'll already be hands-on building agents and naturally curious; what matters most is capability in adjacent disciplines such as AI agent orchestration, LLM governance and guardrails, and MCP and A2A, plus the aptitude to build Agent Fabric expertise on the job. MuleSoft's integration and API backbone gives agents the trusted context and connectivity they need; your job is to turn that foundation into governed, orchestrated, real-world business results. As a Consumption Value Manager, you own the business outcomes of MuleSoft adoption across your accounts, working in close technical partnership with the customer's own teams and building enough yourself to speak their language. As a crucial member of the account teams, you'll use your experience and leading AI tools to build and nurture relationships directly with customers, across Salesforce and the ecosystem. This is a customer-facing role. You will work directly with a set of customers, empowered to manage your portfolio autonomously to achieve the business goals. This role is rooted in stewardship informed by technical fluency; you will be responsible for the adoption and orchestration maturity of MuleSoft solutions including Agent Fabric within our most strategic accounts - building proofs-of-concept and prototypes yourself where they accelerate consumption and value, diagnosing where deeper governance or orchestration gaps sit, and directing the right capability to close them - and for the growth, health and retention that follows from getting that right. You will act as a business partner to sales leaders, acting as the value and adoption anchor for MuleSoft across their entire territory. You are driving the business and your technical fluency means you can hold your own in a room with architects and enjoy getting hands-on. You bring the information and insights that matter, proactively highlighting where interventions are needed and identifying the customer stories that inspire others. Your goal is to ensure that no customer is left behind and that every organisation recognises the transformative value of their investment in governed, orchestrated AI agents. • Proactive Stewardship: You'll manage a set of accounts, balancing and prioritising your time to build a range of relationships, gather key insights and deliver business impact, • Innovation: Your use of Data & AI tools (both existing and ones you'll create; at Salesforce you have access to the latest tools: Claude, Gemini, Cursor and more) to monitor consumption patterns across your accounts enables you to proactively identify opportunities and mitigate risks. You'll be with the customer and celebrate new milestones of business outcomes together, • Show not Tell: You'll be hands-on with the various products, leading demos and building proof-of-concept projects to demonstrate how to solve new business problems, • Hands On Depth: Beyond demos, you'll build real fluency in MuleSoft's solutions including Agent Fabric - understanding the governance and orchestration detail well enough to guide the conversation and understand when to dig-in versus bringing in the right specialist, • Value Realisation: Turn technical potential into business outcomes. Your influence and communication skills help stakeholders see the direct line between Data, Integration, Agentic Orchestration and ROI to get buy-in for transformation, • Business Partnering: Act as a strategic consultant to sales leaders, providing holistic insights into account health and territory trends to ensure sustainable commercial relationships., • Lead the Ohana: Work in a highly supportive environment where you help "write the manual" for this new phase of growth, adopting and sharing best practices across a diverse, global team. We are looking for people who balance a high bias for action with deep empathy for the customer journey. • The Systems Thinker: You have a proven track record (typically 5-7+ years) in customer-facing solutioning or consulting. You understand enterprise IT and how applications and data connect together with APIs providing the context that powers AI. You understand how business processes turn into agentic actions that need orchestration and governance, and you have the technical curiosity to quickly build real fluency in how MuleSoft's Agent Fabric governance and orchestration model works, even without prior hands-on exposure to it., • The Do-er: You bring demonstrated hands-on depth in a related discipline - Agentic technical capabilities such as AI agent orchestration, LLM governance/guardrails or MCP and A2A - with the technical aptitude to ramp quickly into MuleSoft's Agent Fabric. We're hiring for transferable technical depth and fast ramp-up., • Customer-First: You want to influence outcomes and see them through to fruition. Being given ownership of a territory and the autonomy to drive its success motivates you., • A Note on Experience: We value the perspective that comes from a life well-lived. If you have taken a career break for caregiving, personal travel, or a career pivot, we welcome your application. Your unique journey adds value to our diversity of thought and the power of our team., • The Insight Specialist: You are comfortable with data and metrics, but your real strength is translating that information into a compelling narrative., • The Collaborative Influencer: You are comfortable working across virtual teams. With customers, you can facilitate a deep technical session with architects and the CTO and then lead a value-alignment meeting with a platform or program lead. Salesforce is an equal opportunity employer. We prioritise Values & Behaviours because we believe a diverse team builds more resilient systems. If you are passionate about customer outcomes, integrity, and building sustainable business relationships, you belong here. When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr

AI agents are starting to do sales, procurement and operations work. They need to know which company they are dealing with. Most company data is in CRMs, ERPs and third‑party datasets. Records are duplicated, parent companies are missing, and addresses are outdated. This costs sales teams revenue and leaves operations and finance teams with avoidable risk and bad debt. Agents need a business identity layer they can trust. Kernel is building that layer: the business registry for agents. Every business gets a permanent KERN ID, along with the context an agent needs to act on it. Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Checkout already use Kernel in their own systems, and we expect agents to use it far more. We have raised $14M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 5x YoY. You’ll be Kernel’s Product Marketing Lead, building product marketing from the ground up. There’s a lot of potential here, and you’ll set the direction. Your mission: make Kernel easy to understand and easy to buy, for customers and for the partners who sell it. Own positioning and narrative: for customers we sell to directly and for our partners. Write the technical story: work with Anders, Marcus, and Zak on product positioning and technical documentation. Own announcements and launches: plan each one and get it out. Equip sales: work with the sales team on messaging, demos and battlecards. Build our social proof: case studies and customer references. 5% “other stuff”: events, the website and anything else that helps the business. Most important is product marketing experience at a high-growth startup and examples of work that had a real impact on the business. You have written technical content before. You have led large projects such as a launch or a repositioning, and set the plan yourself. You work fast and closely with sales and the founders. You have taste and you execute well. Experience with video content is a plus but not a requirement. Need other product marketers around you to work best. Prefer to be handed a brief than to write one. Need perfect clarity before starting. Prefer long cycles and big “reveals.” Want fully remote work (we move faster in‑person). We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling. Salary: £90,000 – £120,000 base + equity 24 days holiday per year + bank holidays £450 Monthly Office Dinner Allowance 2 weeks work‑from‑anywhere Generous parental leave policy Pension plan Top‑spec equipment and central London office Team events and dinners Work directly with the founders to scale the systems that power enterprise AI High‑autonomy, high‑trust environment with a small team shipping at pace We sponsor visas for exceptional candidates and provide relocation support for those moving to London. Stage 1: Introductory Call with Zak, Founding Growth (30 minutes) Stage 2: Case Study with Zak & Anders (CEO) Final Stage: Founders Interview. A conversation with the founders focused on values alignment and long‑term vision. Following Mutual Fit: Reference checks and offer stage. #J-18808-Ljbffr

Our client is a leading global investment management company headquartered in London. It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes. As part of our collaboration we will focus on two foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations. We define how autonomous agents authenticate, obtain scoped access, and operate safely across a large, regulated financial estate where the runtime security model genuinely does not exist yet. The value, and the danger, of agentic AI is set by what an agent can reach: an agent that inherits a full user context and long-lived secrets has an effectively unlimited blast radius. Your job is to close that gap. This is a hands-on principal-level role for an engineer/architect who still ships code, working at the intersection of enterprise IAM, platform engineering, and the agentic-AI security frontier, and leading a near-shore engineering team delivering against it. Much of the problem space is undefined, so you will be expected to explore it yourself, connect threads across teams and systems that do not currently talk to each other, and represent the work directly to the client. You will design and build the IaC-driven, self-service identity patterns, credential flows, and onboarding standards that make the secure way the easy way, across high-velocity teams that have long governed themselves. • 8+ years in security architecture and/or platform engineering, with a track record of shipping production code. Principal-level depth, ideally in a high-velocity or quant / financial-services engineering culture., • Deep, mechanical command of modern identity and authorisation: OIDC / OAuth2 / JWT — token issuance flows, claims design, and delegation / impersonation patterns., • Hands-on HashiCorp Vault experience, including dynamic / short-lived secrets and the realities of migrating off long-lived tokens without breaking a large application estate at once., • Keycloak policy modelling, ideally with the Terraform-driven configuration the firm already uses., • Strong Terraform / IaC fluency — enough to design repeatable, self-service patterns that others adopt, rather than bespoke per-team setups., • Working knowledge of the Active Directory + Entra legacy reality: nested groups, LDAP-backed role mapping, and the distribution-list-as-permission-group failure mode — able to design around the mess pragmatically., • Experience leading a team of engineers, including near-shore or distributed teams — setting technical direction, reviewing designs and code, and unblocking people across time zones., • Credible in front of a customer: able to run a working session with client stakeholders, explain security trade-offs to a non-specialist audience, and hold the room without a sales lead present., • A self-starter. You will often be handed a vague problem with no obvious owner, and you are expected to go and find the answer yourself, then turn it into a plan the team can execute., • Real exposure to agentic / LLM systems and why they change the threat model — an agent actively probes and exploits standing permissions rather than stumbling onto them. That removes the “security through obscurity” cushion humans relied on., • Familiarity with MCP as an integration / onboarding standard, and at least one agent harness (Claude Agent SDK preferred)., • Experience with just-in-time, task-scoped delegation versus standing access, and risk-gated credential issuance (e.g. a short-lived token issued against a CrowdStrike-style risk score)., • Behavioural baselining / anomaly detection for workloads — defining “normal” for a recurring workflow and catching deviation at volume., • SIEM integration and action attribution: distinguishing an agent’s action from the human whose credentials it borrowed., • Pre-sales or bid-support experience., • Design and ship IaC-driven, self-service identity patterns that roll out firm-wide without requiring a full Active Directory cleanup first., • Define the currently undefined agentic runtime security model: containerised code execution, permission delegation to agents, and MCP-based tool access., • Lead the transition from long-lived secrets toward ephemer al, time-based, risk-scored credentials, scoped to task duration and issued via JWT / OIDC., • Layer LLM / software guardrails (policy-as-text plus human review) on top of whatever hard guardrails are feasible across the estate., • Establish an opinionated onboarding standard (e.g. mandatory MCP interfaces) and win adoption through better defaults and developer experience, not mandate alone., • Design SIEM integration, behavioural baselining, and anomaly detection for agentic workflows, and centralise siloed audit logs to satisfy both security and regulatory requirements., • Take bounded beachheads (for example, authenticate users and then delegate scoped access to internal systems) from vague to delivered., • Lead the near-shore engineering team delivering this work — set technical direction, review designs and code, and build the team's depth in identity and agentic security., • Act as the senior technical voice with the client: run design sessions, present options and trade-offs to security, platform, and business stakeholders, and translate ambiguous asks into scoped, delivered work. This role covers data engineering, AI, and financial services at once, and the core problem is a hard one: letting agents reach and reason over trusted data without handing them the keys to everything. You will design and build the platforms underneath it: large-scale data systems and governance, in a heavily regulated environment. The technical ownership is real, and the patterns you set here will shape how the firm uses its data for years. #J-18808-Ljbffr

PhD + production engineer? This one’s for you. I’m partnering with a leading independent global macro research firm, part of a major international financial group. They’re hiring an AI Platform Engineer to turn their AI agents, quant models and data into products that institutional investors use every day. This isn’t a research role, and it isn’t a pure DevOps role either. It sits between the two: you’ll own tdhe platform that makes AI work in production. • Agent runtime infrastructure and model/tool orchestration, • The APIs between data, models and user interfaces, • Auth, permissions, logging, monitoring and audit trails, • Usage, cost and error tracking across LLM workflows, • Internal tools that produce market dailies, consensus summaries and sales-ready content, • A PhD (CS, ML, Physics, Maths or similar), ideally followed by time in industry, • Strong Python backend engineering, with FastAPI or similar API design, • Hands-on LLM API and model endpoint integration, • Cloud deployment, observability and production reliability, • Enough front-end ability to put a usable interface on internal tools, • Financial markets experience is a real plus, especially working alongside quants or front-office teams. Central London, 4 days a week in the office If you’ve shipped LLM systems to real users and want your work to directly shape investment research, this one is for you. #J-18808-Ljbffr

About Team:BytePlus is ByteDance's enterprise technology business, bringing ByteDance's proven AI, cloud, data and media technologies to businesses around the world.We work with digital-native companies and large enterprises across industries including AI, internet, e-commerce, retail, advertising, media, entertainment, gaming and emerging digital businesses, helping them identify new opportunities created by frontier AI technologies and turn them into scalable products and business outcomes.We are looking for AI Solution Architects who are excited about the rapidly evolving AI landscape, enjoy solving ambiguous problems, and can bridge cutting-edge technology with real business opportunities.Responsibilities:- Work closely with customers, sales, and product teams to identify high-value AI use cases and emerging business opportunities across different industries; deeply understand customer workflows, pain points, and business models, and translate them into practical technical solutions using BytePlus AI models and cloud technologies.- Explore frontier AI capabilities across video, image, language, audio, and multimodal models, continuously identifying new applications enabled by advances in AI.- Design end-to-end solution architectures and lead technical discovery, workshops, demos, prototypes, and PoCs; build or work closely with engineering teams to implement customer solutions and accelerate their journey from concept to production.- Engage directly with customer stakeholders from engineering teams to C-level executives, clearly communicating both technical possibilities and business value; work with strategic customers throughout the full lifecycle from opportunity discovery through implementation, adoption, and expansion.- Capture recurring customer needs and market signals, identify Product Market-Fit gaps, and work closely with product and engineering teams to influence product roadmap; develop repeatable industry solutions, best practices, and reference architectures that can be scaled across customers and markets.- Support customers with day-to-day technical challenges and act as a trusted technical advisor.- Proactively explore new AI-native products, workflows, industries, and business models rather than waiting for predefined customer requirements. Qualifications Minimum Qualifications:- Bachelor's degree or above in Artificial Intelligence, Computer Science, Engineering, Mathematics, or a related field, with a strong technical foundation or equivalent hands-on experience.- We are particularly interested in candidates with experience in one or more of the following areas:- AI-native / internet businesses- E-commerce and retail- Advertising and MarTech- Media and publishing- Social and creator platforms- Entertainment- Film, VFX and short-form drama- Gaming- Other fast-growing digital businessesAlternatively, candidates with strong domain expertise working with large traditional enterprises are also highly valued.- Strong curiosity toward emerging AI technologies, with a demonstrated habit of actively testing new models, tools, and AI-native products.- Experience with APIs, software engineering, cloud technologies, AI/ML systems, or data technologies.- Hands-on coding ability, particularly in python, agent coding, etc., understand the customer‑oriented thinking and processes for MVP products.- Experience working in a B2B environment as a software engineer, solutions engineer, solution architect, FDE, consultant, product specialist, technical business development professional, or similar customer-facing role.- Ability to communicate effectively with both technical teams and senior business stakeholders, with comfort leading technical discussions, solution workshops, and customer presentations.Preferred Qualifications:- 2+ years of experience as an AI-native builder with strong technical and hands-on capabilities, exceptional learning agility, and the ability to independently discover new customer use cases or market opportunities.- 5+ years of experience as an industry expert with deep domain expertise in e-commerce, retail, advertising, media, entertainment, gaming, or another enterprise vertical, with credibility among senior customer stakeholders.- Experience identifying where AI can materially change existing industry workflows, and understanding of buyer needs, business problems, and how successful use cases become repeatable solutions.- 2+ years of study or professional experience in an English-speaking environment.- Currently based in Europe or North America. Job Information About Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join ByteDance Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us. Diversity & Inclusion ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. #J-18808-Ljbffr

You would be among the first engineers here, which means you get to own a surface end to end, from the ontology underneath it all the way to what a customer sees. The ontology is the layer underneath everything we ship. Calls, email, documents and CRM fields resolve onto one typed record per deal today, and that list will grow. This layer should reach wherever a company keeps a model of its own business: a warehouse, a ticketing system, a billing platform, a product analytics tool. Every agent, flow and screen reads from it. What is live today, and where the next few years of work sit: • Extraction that turns a conversation into commitments, objections, stakeholders and competitors, each carrying the passage it came from, • A flow engine that runs typed graphs of blocks when a call finishes processing, or on a schedule, • An agent that answers questions about a pipeline and shows the queries it ran to get there, • A notetaker that joins on Zoom, Google Meet and Microsoft Teams and resolves every call onto the deal it belongs to, • Several years building software that other people depend on, in whatever stack you learned it in, • Fluent in Python or TypeScript. We use both, and we care more that you can pick up the other one than that you already have, • At home in a relational database, and able to say why one schema is better than another, • You have looked after something in production, and stayed for the deploy, the incident and whatever came next, • You would rather ask a customer than guess Useful, and not required: LLM-backed systems, event-driven or asynchronous processing, or any exposure to CRM and go-to-market data. You do not need to have worked in sales software. You do need to find it interesting that a deal can stall for a reason nobody wrote down. Equity in the company, so what you help build here is partly yours. A surface of the product to own, rather than a queue of tickets to work through. And on a team this size, when you find something wrong you can fix it that week, without asking anyone. #J-18808-Ljbffr

AI Data & Insights Officer (FTC) Borough, South London (SE1 1EP) Worldwide Events Group, founded in 2004, is a recognised leader in global MICE and luxury travel. Across our portfolio, we bring people together and facilitate meaningful relationships, a philosophy we call H2H, human‑to‑human connection. Innovation drives our evolution. We’re embracing AI to elevate personalisation, streamline event design and create smarter, more intuitive experiences for our global communities. Our work is delivered through two industry‑leading brands, each serving a distinct global community. Private Luxury Events delivers world‑class experiences to the luxury travel community through its event brands Amour, Private Luxury, TFest and Ultra. Our ethos has always been to put the human experience first. This mantra has powered some of the most respected events in the industry, inspiring thousands of luxury travel professionals around the world and at the heart of everything we do lies a passion for connecting people. M&I brings together high‑calibre meeting planners and exhibitors from the hospitality industry through a series of standout events across Europe, the Middle East, and the Americas. Our portfolio includes M&I Expo, M&I Flagship, M&I Healthcare, and M&I Luxe. We create beautifully crafted events that spark meaningful engagement, from curated 1-2-1 meetings to immersive moments that showcase exceptional destinations, hotels, venues and MICE services. Our events take place across Europe, the Americas and the Middle East in some of the world's most extraordinary destinations. The AI Data & Insights Officer is responsible for turning WWE's business data into reliable insight, reusable intelligence and measurable value. Working within Agent Factory, you will ensure that AI agents, automations and decision-makers can access accurate, well‑structured and actionable information. You will work across Salesforce, event platforms, marketing systems, operational tools and AI knowledge sources to improve data quality, build analytical capabilities, support retrieval‑augmented generation (RAG), identify commercial opportunities and measure the performance of deployed agents. This is a hands‑on, business‑facing role at the intersection of data analysis, business intelligence, AI enablement and commercial decision‑making. This is an initial six‑month fixed‑term contract opportunity, with the potential for extension, reporting to the Head of AI Implementation. Data & Intelligence • Develop and maintain datasets, models and insights that support AI agents and business decision‑making., • Consolidate, cleanse and structure information from Salesforce, event platforms, marketing systems and operational tools., • Define practical data‑quality, metadata and governance standards for information used by Agent Factory., • Identify trends, risks and commercial or operational opportunities within WWE datasets., • Support secure, reliable data flows between approved systems and agent solutions. AI & Agent Enablement • Create and maintain knowledge bases and retrieval structures that improve agent accuracy and usefulness., • Support the design, testing and optimisation of RAG capabilities across the Agent Factory ecosystem., • Prepare evaluation datasets and test cases for assessing agent outputs., • Work with Agent Engineers and Agentic Capability Engineers to translate business data into reusable agent skills, tools and intelligence services., • Monitor data‑related failure patterns and recommend improvements to source content, retrieval and agent behaviour. Analytics & Performance • Design dashboards, scorecards and reporting that provide meaningful visibility of business performance., • Define and track measures for agent adoption, accuracy, time saved, operational impact and commercial value., • Evaluate the effectiveness and return on investment of AI agents and automations., • Develop actionable insight for leadership and business teams rather than producing reporting for its own sake., • Establish repeatable methods for monitoring and communicating the value created by Agent Factory. Commercial & Operational Insight • Develop insight that supports customer retention, buyer and supplier engagement, sales effectiveness, event performance and workflow improvement., • Explore predictive and segmentation approaches where they can support better business decisions., • Turn analytical findings into clear recommendations, prioritised opportunities and defined next actions., • Help teams move from descriptive reporting towards decision intelligence and next‑best‑action capabilities. Business Partnering • Work with departments across WWE to understand their data, reporting and insight requirements., • Translate business questions into clear analytical work and practical data products., • Present complex findings in a concise, accessible way to technical and non‑technical audiences., • Promote responsible, evidence‑led use of data and AI across the organisation., • Document analytical methods, data definitions and reusable assets so capabilities can scale. Due to the nature of our work, you may occasionally be required to work outside standard hours to support events or meet key deadlines You’ll thrive in this AI Data and Insights Officer role if you bring: • Professional experience in data analysis, business intelligence, analytics engineering or a closely related role., • Strong experience of data preparation, cleansing, modelling and quality assurance., • Experience using SQL and visualisation tools such as Power BI, Microsoft Fabric or equivalent platforms., • Experience working with CRM, customer, commercial or operational data; Salesforce experience is particularly relevant., • Ability to combine information from multiple systems and work effectively with APIs or structured data integrations., • Strong understanding of KPI design, dashboarding and the communication of actionable insight., • Ability to translate complex evidence into clear business recommendations., • Excellent problem‑solving, critical‑thinking and attention‑to‑detail skills., • Strong communication and stakeholder‑management skills., • Sound understanding of data privacy, access control and responsible use of business information., • Curiosity about AI, automation and the practical application of emerging technology., • Practical experience with RAG architectures, semantic search, vector databases or AI knowledge‑management systems., • Strong understanding of large language models, machine‑learning concepts and agent evaluation methods., • Proficiency in Microsoft Copilot Studio, Azure AI services or related Microsoft technologies., • Familiarity with OpenClaw, Hermes or similar agent platforms., • Track record of measuring AI, automation or digital‑product performance., • Knowledge of predictive analytics, propensity modelling, segmentation or recommendation systems., • Understanding of marketing attribution, customer journey analytics or revenue analysis., • Ability to design trusted data products or reusable analytical services for consumption by other systems., • Background supporting AI transformation, digital transformation or cross‑functional change programmes., • Background in the events and/or travel industry. We offer a thoughtful package designed to support your wellbeing, growth, and work–life balance. • Competitive Salary., • 28 days' holiday plus UK bank holidays pro‑rata, with additional days awarded for length of service., • A centrally located London office with a summer terrace within walking distance of the world‑famous Borough Market., • Regular employee social events supported by our Happiness & Culture team., • Monthly contribution towards Bupa private health insurance (post-probation)., • Employee Assistance Program offering confidential well‑being support., • Enhanced maternity and paternity leave to support growing families., • 4 pm Friday finish! We foster an environment where everyone feels respected, valued, and able to thrive. We welcome individuals of all backgrounds, identities, and lived experiences, including differences in gender identity, orientation, expression, age, race, ethnicity, physical or mental ability, neurodiversity, religion or belief, and socio‑economic background. Our diversity strengthens our perspective, fuels innovation, and deepens our connection to the clients and communities we serve around the world. Company: wwideevents.com | mi-forums.co Brands: amourforums.com | privateluxuryevents.com | privateluxuryforums.com | privateluxuryevents.com/ultra | travel-fest.com #J-18808-Ljbffr

As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‑grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‑edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. • Architecting Workloads: Design and implement production‑level ML and AI workloads, including end‑to‑end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud‑native services., • GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool‑calling, multi‑agent orchestration, and guardrails), AI observability, and natural language querying of structured data., • Product Influence: Collaborate cross‑functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform’s AI roadmap., • Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons., • Experience: 10+ years of hands‑on industry DS/ML experience, with a focus on either:, • ML Engineering: Building/maintaining production‑grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance., • Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‑tuning, and deployment tools (e.g., HuggingFace, Langchain)., • Hands‑on experience working with Distributed Spark based systems., • Experience with data engineering concepts or a good understanding of data engineering concepts., • Pre‑sales or post‑sales experience working with external clients across a variety of industry markets., • Minimum of 5+ years of customer‑facing experience would be preferred., • Experience working with Apache Spark™ to process large‑scale distributed datasets., • Communication: Proven ability to communicate and teach complex technical concepts to both technical and non‑technical audiences., • Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI., • Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience., • Can meet expectations for technical training and role‑specific outcomes within 3 months of hire., • Can travel up to 30% when needed. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical or mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. #J-18808-Ljbffr

Sit with auditors, underwriters, and credit teams, turn their SOPs into agent teams, and own the deployment through to sign-off. Be the bridge between our AI platform and BFSI customers. You'll sit with auditors, underwriters, and credit teams — turn their SOPs into working agent teams and own the deployment through customer sign-off. Be the bridge between our AI platform and BFSI customers. You’ll sit with auditors, underwriters, and credit teams — turn their SOPs into working agent teams and own the deployment through customer sign-off. This is a deeply technical role that is not a coding role: you will configure agents, design workflows, and reason about controls — but your raw material is the messy reality of a regulated process, and your deliverable is a system a compliance team can sign off. You are the bridge between two rooms that rarely understand each other: a room of auditors who think in controls, and a room of engineers who think in systems. Both need to trust you. That trust is the job. • Lead solution discovery workshops with BFSI clients (banks, insurers, NBFCs), • Translate SOPs, policies, and workflows into agent architectures, • Design end-to-end solutions covering data, models, agents, and integrations, • Work with compliance, risk, and audit stakeholders to ensure regulatory alignment, • Serve as the trusted technical advisor throughout the customer lifecycle, • 6+ years in solution architecture, consulting, or pre-sales in BFSI, • Deep understanding of banking operations — underwriting, credit, audit, compliance, KYC/AML, • Strong grasp of AI/ML, LLMs, and agentic workflows (you don't need to code, but must speak the language), • Experience delivering enterprise software into Tier-1 banks or insurers, • Excellent stakeholder management — from C-suite to operations teams, • Strong documentation and solution-design skills, • Willingness to travel across India, UAE, and UK, • Certifications in banking (CFA, FRM) or cloud (AWS/Azure Solutions Architect), • Prior experience at Big-4 consulting or core banking vendors, • Exposure to regulatory frameworks (RBI, DFSA, FCA, Basel III) BFSI domain expertise Solution architecture Agent workflow design Underwriting Credit & audit KYC/AML Stakeholder management PoC to production delivery Tell us what you would build and why it matters. If the timing is right, the conversation goes from there. #J-18808-Ljbffr

Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies. We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%. Joining us means working on cutting‑edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.” This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre‑sales team and bridge the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI‑powered solutions. • Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant, Forward Deployment Engineer), • Excellent communication and presentation skills, able to interface effectively with technical and non‑technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands‑on product demos independently., • Knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on‑premise, and hybrid deployment models., • Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, safetensors, HuggingFace model hub)., • Understanding of benchmarking and LLM performance evaluation (accuracy, latency, throughput)., • Hands‑on coding skills in Python, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face)., • Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field., • Must be available to travel as needed for meetings, conferences, and project requirements., • Languages: English., • Experience with Computer Vision models, Speech models, Vision‑Language models, and other modalities., • Experience with AI model optimization, quantization, or deployment to edge devices., • Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization., • Hands‑on experience designing RAG pipelines and/or multi‑agent systems.., • Understanding of sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200)., • Experience designing data architectures (batch & streaming) and working with big data technologies., • Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act., • Equal pay guaranteed., • Signing bonus., • Relocation package (if applicable)., • Eligibility for educational budget according to internal policy., • Hybrid opportunity., • Flexible working hours., • Language classes and discounted lunch options, • Working in a high paced environment, working on cutting edge technologies., • Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply. #J-18808-Ljbffr

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About Salesforce Salesforce brings customer data, CRM, analytics, and AI together on a trusted platform. Our teams help organizations turn complex business and data requirements into secure, scalable solutions. In this role, you will help customers put Data 360 into production and build the technical foundation for reliable, enterprise-grade use cases. About the Role Production implementation experience required. Builder mindset non-negotiable. Salesforce is hiring Forward Deployed Engineers focused on Data 360, Salesforce’s real-time data engine that unifies data from any source. As a Forward Deployed Engineer, you will be a hands-on Technical Builder who configures, builds, tests, and deploys Data 360 directly inside enterprise customer environments. You will turn approved solution designs and acceptance criteria into working implementations across ingestion, harmonization, identity, insights, activation, retrieval, security, and operational readiness. Data 360 is also the data foundation for Agentforce - and grounding agents in accurate, real-time enterprise data is deep data engineering. You'll go further into RAG, vector search, MCP, and agent-to-agent integration than most data roles ever touch, because the agents are only as good as the layer you build. You'll work within a delivery team that includes architects, deployment strategists, Agentforce FDEs, account teams, and customer technical teams. Engagements may span a focused proof, production rollout, and stabilization. The common thread is real customer data, disciplined testing, and a supportable handoff. This is a hands-on data and software engineering role. You will build in real enterprise customer environments - writing SQL, Python, and Apex; building ingestion pipelines; debugging identity resolution; and shipping working implementations from sandbox through production. If you're looking for a purely declarative configuration role or a pure advisory role, this isn't it. What You'll Do Build in customer environments. Configure and develop directly in customer sandboxes and production - using Data 360 configuration, SQL, Apex, Flow, Python, the REST Query API, the Interaction SDK, Salesforce DX, CLI, Git, Data Kits, and deployment tooling as required - following security, change-management, and release controls. Engineer the data layer. Build ingestion, harmonization, and identity resolution across batch and streaming sources. Materialize views of data optimized for specific application, analytical, and agentic workloads, tuning latency and cost tradeoffs to meet use-case requirements. Work with customer data and AI teams to ensure implementations align with their existing strategies (e.g., data mesh, data fabric). Prove it works. Create representative test data and validate expected outcomes across happy paths, edge cases, access boundaries, hierarchy behavior, failure conditions, and customer-scale volumes. Ground the agents. Design, build, and maintain the AI data integration layer - RAG (Retrieval-Augmented Generation), vector databases, search indexes, and knowledge bases - that grounds Agentforce solutions in accurate, real-time enterprise data. Orchestrate agent communication. Design and implement the protocols - including Model Context Protocol (MCP) and agent-to-agent communication - that govern, monitor, and ensure efficient collaboration among specialized AI agents. Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents. Govern the data. Apply deep data management expertise to ensure the secure integration, transformation, and governance of structured and unstructured data across the Salesforce ecosystem (CRM, Data Cloud) and external systems. Build for scale and security. Apply knowledge of message queues, event-driven architecture, and distributed systems to build resilient workflows and implement secure authentication and authorization protocols (OAuth, SAML) so that all agent actions are secure and comply with enterprise security policies. Debug the hard problems. Troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues - methodically, with logs and query evidence, isolating product behavior from configuration error. Own implementation decisions. Compare viable techniques within the approved architecture, document measured tradeoffs, and recommend the most maintainable implementation to the responsible architect or technical lead. Accelerate with AI. Use AI tooling - including Data 360 APIs and MCP Servers - to automate the build process and compress customers' time to value. Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership and known limitations. Feed the roadmap. Surface reproducible platform gaps and edge cases - with live evidence, impact, and expected behavior - directly to Product and Support. \u201cYou're Our Data 360 Forward Deployed Engineer\u201d If... You have 5+ years of experience in software engineering, data engineering, or technical implementation, including a production data solution you can explain in detail. You have a bachelor's degree in Computer Science or equivalent practical experience. You have hands-on experience implementing Salesforce Data 360 (Data Cloud) or a comparable enterprise data platform across ingestion, modeling, identity, insight, activation, and operations. You have hands-on experience building data pipelines and integrations using at least one enterprise data platform or technology, such as Snowflake, Databricks, BigQuery, Redshift, Kafka, cloud object storage, or an enterprise MDM platform. You are proficient in SQL and can build, debug, and optimize multi-table queries, joins, filters, transformations, and validation checks. You are fluent in at least one implementation language used in enterprise delivery - Apex, Java, Python, or JavaScript/TypeScript - and are willing to learn the others as needed. You understand data modeling, APIs, integration patterns, batch and streaming processing, and the practical differences between copied, federated, and Zero Copy data access. You've built retrieval systems for AI applications - vector databases, search indexes, embedding pipelines, or knowledge bases - and can explain the design decisions behind chunking, indexing, and relevance. You've implemented secure service-to-service integration patterns (OAuth, SAML, event-driven architectures) and are conversant in emerging agent protocols like MCP and agent-to-agent communication. You can implement secure data access and rigorously test it, including permissions, entitlements, consent, user context, restricted populations, and negative test cases. You diagnose technical problems methodically, use logs and query evidence, isolate product behavior from configuration errors, and document a reproducible result. You can implement against a documented architecture, explain what you built to customer technical teams, and recognize when a question requires an architect or security owner. You have delivered alongside customers, partners, professional services, or internal implementation teams in deadline-driven environments. You are excited to work directly with customer administrators, developers, data engineers, and architects. You have relevant certifications in Salesforce Agentforce, Data 360, and the Salesforce Platform. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place. #J-18808-Ljbffr

Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high-impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies. We are a European deep-tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide — compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50–80%. Joining us means working on cutting‑edge solutions that make AI faster, greener, and more accessible — and being part of a company often described as a “quantum-AI unicorn in the making.” This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre‑sales team and bridge the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI‑powered solutions. • Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant, Forward Deployment Engineer), • Excellent communication and presentation skills, able to interface effectively with technical and non‑technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands‑on product demos independently., • Knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on‑premise, and hybrid deployment models., • Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, safetensors, HuggingFace model hub)., • Understanding of benchmarking and LLM performance evaluation (accuracy, latency, throughput)., • Hands‑on coding skills in Python, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face)., • Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field., • Must be available to travel as needed for meetings, conferences, and project requirements., • Languages: English., • Experience with Computer Vision models, Speech models, Vision‑Language models, and other modalities., • Experience with AI model optimization, quantization, or deployment to edge devices., • Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization., • Hands‑on experience designing RAG pipelines and/or multi‑agent systems.., • Understanding of sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200)., • Experience designing data architectures (batch & streaming) and working with big data technologies., • Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act., • Equal pay guaranteed., • Signing bonus., • Relocation package (if applicable)., • Eligibility for educational budget according to internal policy., • Hybrid opportunity., • Flexible working hours., • Language classes and discounted lunch options, • Working in a high paced environment, working on cutting edge technologies., • Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply. #J-18808-Ljbffr

The $3T commercial insurance market runs on email threads and spreadsheets. Our client is building the AI agent layer that fixes this: submission intake, data extraction, insurer outreach, quote comparison. Brokers cover more ground without ripping out the systems they already use. They started in April and are already live with 3 of the top 10 global brokers (over $150B combined market cap), backed by leading European and American investors. The founders closed every one of those deals themselves. Before this, their CEO ran deployment at another AI company, where he personally closed four of the top ten players in that category and took revenue from zero to seven figures inside a year. First commercial hire, working directly with the founders. You sell hands-on to brokers and define the GTM motion as you go: target list, pitch, sales cycle, pricing. The market is unusually concentrated. Around 20 companies matter, most of them within a mile of each other in the City of London, with 10 to 20 relevant buyers inside each - 200 to 400 people in total, and it is the entire universe. You can learn all of them, and you should. Full deployments are priced on the value they create and land in the £1-4M range. You will work directly with the founders and turn early customer conversations into a repeatable sales process. Someone who has sold, not only managed sellers: you have closed enterprise deals yourself, worked without a playbook or a support function around you, and want to build a GTM function from zero. This year's measure is how many of the top 20 brokers they are working with, not a revenue target. The commission plan is written with the person who takes the role. There is no inherited territory or existing playbook; you set the plan, then hire the team that runs it. Insurance experience is not required. These deals are won on judgement and relationships rather than domain knowledge, and the domain is taught on the job. Ownership of the GTM function: targets, comp plan, pricing approach and the first hires into the team Working directly with founders who have closed clients from the top 10 in the industry themselves Five days a week in office in London Vauxhall, plus regular time on client sites Intro call with TechTree, then a call with the CEO and co-founder, then a half day in person including a case study. #J-18808-Ljbffr

ReqID: FEQ427R340 Location: London Skills: Platform & Security As an Infrastructure & Platform Specialist Solutions Architect (SSA), you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, administration, and security of their Databricks deployments on their cloud of choice (AWS, Azure, or GCP). You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. • Guide strategic customers through the full lifecycle of Databricks on their cloud platform, including platform administration from initial architectural design to production deployment, • Architect secure, scalable enterprise deployments that satisfy complex cloud networking (virtual networks, private connectivity), identity (cloud IAM and enterprise identity providers), and security compliance standards, • Serve as a subject matter expert in core areas such as cloud infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management, • Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions, • Orchestrate cross-functional resources (DSAs, SAs, FDE, Partners) to deliver comprehensive solutions for complex customer needs, • Influence product direction by providing structured feedback on customer requirements and competitive gaps, • 8+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role, • Advanced expertise across the following areas:, • Security & Identity: Cloud security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols. This includes cloud-native IAM (AWS IAM, Microsoft Entra ID / Azure AD, Google Cloud IAM), enterprise identity services (AWS IAM Identity Center, Entra ID, Google Cloud Identity), and federation standards (SCIM, OAuth, SAML, OIDC), • Networking & Deployments: Enterprise cloud networking (VPC/VNet design and peering, dedicated interconnects such as AWS Direct Connect / Azure ExpressRoute / Google Cloud Interconnect, and private connectivity such as AWS PrivateLink / Azure Private Link / GCP Private Service Connect), network routing, performance optimisation, and large-scale deployment management, • Platform Administration: High availability, disaster recovery, cluster orchestration, observability and audit (e.g. Amazon CloudWatch / CloudTrail, Azure Monitor, Google Cloud Operations Suite), and cloud cost management, • Infrastructure Automation (InfraOps): Hands-on automation using IaC tools (e.g. Terraform, plus cloud-native tooling such as AWS CloudFormation / CDK, Azure Resource Manager / Bicep, or Google Cloud Deployment Manager) to build, maintain, and scale complex cloud environments, • Strong coding proficiency in Python and PySpark/Spark: you must demonstrate live coding, debugging, and solution-building skills, • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms, • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g. real-time/streaming, ML/AI, data governance, migrations), • Proven ability to lead architecture discussions with senior technical stakeholders: whiteboarding, design reviews, and trade-off analysis, • Track record of driving platform adoption and consumption growth within accounts, • Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritisation, • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement, • Excellent communication skills: able to translate complex architectures into business value for both technical and executive audiences, • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience), • Willingness to travel up to 30% as needed, • Databricks certifications (Data Engineer, ML, Platform), • Cloud provider certifications at professional level (e.g. AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer; Azure Solutions Architect Expert; Google Professional Cloud Architect), • Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery) — understanding the landscape you'll position against, • Background in a data/AI company or cloud provider Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

Location: London, UK At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer‑centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user‑friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer‑focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world‑class, cross‑functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges. Join us in our quest to change how people work with data and make a better world! • Engage with some of Databricks’ most complex customers to help them achieve their unified platform goals., • Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts., • You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline., • You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy., • Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform., • Contribute to Databricks' technical community engagement by developing customer‑facing collateral and leading workshops, seminars, and meet‑ups., • Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management., • Know how to engage in complex customer interactions and sales lifecycle in a technical pre‑sales capacity., • You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background, • You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice., • You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments., • Ability to influence influential decision‑makers and C‑level executives through developing relationships and orchestrating teams to achieve long‑term success for customers., • Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark., • Hands‑on expertise with complex proofs‑of‑concept and public cloud platform(s) across AWS, Azure and Google., • Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape., • Nice to have: Databricks Certification, • Up to 60% travel to London offices and customer site Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

London, United Kingdom SLSQ427R686 Want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks. As an Strategic Enterprise Account Executive, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers within the Banking sector. The impact you will have: • You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Banking segment., • You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new opportunity and enables you to exceed quarterly/annual usage and booking goals, • You will motivate a diverse team of big data and AI professionals to implement your business plan, • You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform, • You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement, • You will build exceptional value with all engagements to guide successful negotiations to close What we look for: • Experience in direct sales of enterprise software platforms to large enterprises, • Ownership of executive level relationships in your clients, • Proven track record of developing new business, • Extensive experience of working with large complex regulated organisations, • Knowledge of the Data & AI space with technology sales experience, • Longevity with previous employers, • Quota over-achievement and significant growth when selling complex software and services to Enterprise accounts, • Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams, • Methods for co-developing business cases and gaining support from C-level Executives, • Familiarity with sales methodologies and process (e.g Territory and Account planning, MEDDPICC, Challenger Sales and Command of the Message), • Experience developing partnerships with "champions" and client teams to support execution of your territory plan, • Experience developing a clear partner strategy and implement it to achieve success, • Understanding of consumption-based, land and expand sales models advantageous, • Understanding of how to identify important uses cases and buying centres to increase the impact of Databricks for clients About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

SLSQ427R432 Do you want to help solve the world's toughest problems with big data and AI? That is what we do every day at Databricks. We are looking for a creative, execution-oriented Enterprise Account Executive to join our UKI team and maximize the phenomenal market opportunity within the Utilities sector. Your mission will be to grow a select group of our most strategic enterprise accounts. Experience selling into the Utilities industry and managing large, complex, multi-national accounts is essential. Reporting to the Director of Telco and Utilities (UKI), you will bring an informed, compelling point of view on Data, Analytics, and AI to guide your strategy and deliver exceptional customer value alongside our internal teams and partner ecosystem. • Drive Revenue & Growth: Co-develop a strategic business plan with your team and partners to exceed quarterly and annual usage and booking goals across a focused set of enterprise accounts., • Identify High-Value Use Cases: Lead customers, partners, and internal teams to uncover impactful Data and AI use cases while proving out their value on the Databricks Data Intelligence Platform., • Execute Transformation Strategies: Implement customer data and AI transformation goals through strategic partnerships, well-scoped professional services, training, and targeted C-level engagement., • Build Technical Trust: Master technical product details and roadmap developments to cultivate credibility with both line-of-business executives and technical champions., • Utilities & Enterprise Expertise: Proven experience driving complex sales campaigns and building deep relationships within major Utilities accounts and global enterprises., • Domain Knowledge: Extensive background selling within the Data, Cloud, or SaaS industries., • Track Record of Success: Consistent history of exceeding sales quotas at high-growth Enterprise software companies using value-based selling methodologies., • Consumption Models: Experience driving usage and commit-based engagement strategies in tandem with professional services and training units., • Ecosystem Collaboration: Skilled at co-selling and scaling business with hyperscalers (AWS, Azure, Google Cloud) and Global System Integrators (GSIs)., • Executive Presence: Proven capability to co-develop business cases and secure buy-in from C-level executives. Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Follow Databricks on LinkedIn, X, YouTube and Instagram. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

JOB ID: FEQ327R160 Location: London, United Kingdom Industry:Transport-Industry Recruiter: Dina Hussain As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organisation's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognised technical specialisation that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. • Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth., • Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy, • Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale, • Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team, • Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms, • Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions, • Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritisation, • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement, • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role, • Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview, • Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms, • Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability), • Declared technical specialisation with recognised depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions, • Proven track record of driving consumption growth and platform adoption in large accounts, • Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy, • Experience leading competitive displacements and complex enterprise evaluations, • Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact, • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued, • Databricks certifications, • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, • Published thought leadership (blogs, conference talks, open source contributions), • Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

AI is being run everywhere, by humans and agents. Harmonic Security governs all of it. The AI Governance and Control (AIGC) platform understands user / agent intent and data context in real time, giving security teams visibility and control across every tool and workflow so companies can move faster with AI while minimizing risk. We operate in one of the fastest-moving spaces in tech: the emerging intersection of AI and cybersecurity. It's a market still being defined, and we're among the first to build natively for it - protecting sensitive data in real time, at the endpoint, with minimal friction for the teams using it. Enterprises get full visibility and control. Their people get to innovate without guardrails slowing them down. Named to the Rising in Cyber 2026 list, Harmonic is gaining serious recognition and serious traction. We're led by deep cybersecurity expertise and backed by investors who know the space: N47, Ten Eleven Ventures, and In-Q-Tel. As AI adoption inside the enterprise accelerates, the ability to safely observe, control, and enforce policy in real time isn't a nice-to-have. It's mission-critical infrastructure. That's what we build. Harmonic exists to help enterprises adopt AI safely and at scale. We hold ourselves to that same standard. Everyone here actively leverages AI tools to perform their best work — from deep research and writing to building robust processes and automating complex workflows. We expect every new hire to bring a genuine curiosity for AI and a commitment to using it to work smarter, faster, and with greater creativity. For some, this involves tinkering and remaining open to emerging tools; for others, it means architecting entirely new systems with AI at the core. We will be transparent about expectations for every role and provide the tools and support needed for you to thrive. You will play a key role in helping prospective and existing customers understand how Harmonic can address their unique challenges. Your days will be a mix of engaging with prospects and existing clients to demonstrate the capabilities of our product through technical storytelling, building proof of value (POV) plans, and executing them smoothly and successfully. Our Solutions Architects are experts in bridging the gap between the customer and our product and engineering teams, ensuring that real-world customer requirements are clearly understood, helping to drive the evolution of our product. Success in this role means building strong relationships with customers, guiding them through their AI adoption journey, and ensuring they feel confident and empowered to use Harmonic’s solution to its fullest potential. Responsible and accountable for all pre-sale technical activities Collaborate closely with customers to create and execute tailored POCs that highlight how Harmonic simplifies data protection for the GenAI era Work as part of the EMEA/DACH sales team to close new business opportunities and support existing customers through the lifetime of their contracts Work closely with product and marketing to turn deep technical insights into compelling content and messaging Stay on top of the competitive landscape to help shape our story and spotlight what makes Harmonic stand out A proven track record in a solutions architect, solutions engineering, or pre-sales engineering role in the enterprise security space Hands‑on, day‑to‑day experience with AI productivity tools — both browser‑based (ChatGPT, Gemini, Perplexity) and application‑integrated (Claude, Claude Cowork, GitHub Copilot, Cursor) — and a practical understanding of how these tools handle sensitive data in enterprise environments Demonstrated ability to thrive in fast‑moving environments. Highly organized, able to manage competing priorities and a high volume of concurrent engagements, context‑switch quickly, and make sound judgment calls about where to focus without waiting for direction Hands‑on experience deploying and managing software in enterprise environments, including working with MDM solutions such as Intune, JAMF, and Kandji Comfort operating in ambiguity. Confident using new tools and environments, and troubleshooting live issues under pressure Scripting experience (Python, shell, PowerShell, or similar) A proactive, hands‑on mindset. You take ownership, solve problems independently, step up for new challenges, and support the people around you Experience in customer‑facing post‑sales roles such as technical customer engineering or technical account management Familiarity with value‑driven solution selling. Able to connect technical capabilities directly to customer business outcomes and articulate ROI throughout the sales cycle This isn't just a job - it's a chance to help define a category. Harmonic Security was named to the Rising in Cyber 2026 list, and we're just getting started. We're building at the intersection of AI and security, carving out an emerging market where the rules haven't been written yet, and the people who join now will write them. We believe today's talent is tomorrow's success, and we're committed to creating an environment where you can do the best work of your life. Recognized momentum - We made the Rising in Cyber 2026 list, a signal that the market is taking notice Rare market opportunity - Join early in a category‑defining company at the convergence of AI and security, where your work directly shapes how enterprises tackle one of the biggest unsolved problems in tech Competitive pay and meaningful equity - A real stake in Harmonic's success, not a token gesture Comprehensive benefits - 401K, pension plan, generous PTO, and flexible hybrid work A small, high‑trust team that values transparency, creativity, and continuous learning - no politics, no bureaucracy Thoughtful leadership - that cares deeply about your growth, not just your output Annual global off‑sites - past trips include Lisbon, Portugal and Nashville, TN Real ownership - you'll shape the product, the culture, and the direction of the company from day one We embrace new, unfamiliar situations that require initiative and rapid decision‑making. We orient ourselves quickly and deliver results with minimal guidance. We raise our hands, take on challenges, and assist others whenever possible. We hunger for opportunities to learn and do more. We support one another to create cohesion and unity. We collaborate openly, share feedback honestly, and help everyone produce their best work #J-18808-Ljbffr

GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centered on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems. Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges. The Risk Analytics and Monitoring (RAM) team supports GSK in establishing a proactive, data-driven compliance culture that aligns with the organisation's strategic priorities and values. Our team delivers actionable insights that enable Legal and Compliance teams to identify emerging risks, focus resources, and make better-informed decisions. Through advanced analytics and responsible application of artificial intelligence, we strengthen risk management, improve Compliance effectiveness, and help position Compliance as a strategic partner to the business. We are seeking a senior platform and engineering leader to ensure that Risk Analytics products run on trusted data, resilient engineering, and effective technical controls. This role is accountable for the foundations beneath the product portfolio rather than for the business-facing AI and analytics products themselves. The Platform & Engineering portfolio spans two areas: • Data Engineering and Pipelines covering the design, build, integration, operation, and modernisation of the data analytics pipelines and platforms that supply Risk Analytics products., • Data Governance and Agent Infrastructure covering data governance, sensitive-data security, identity and access, lineage, retention, and the shared orchestration, telemetry, evaluation, and control services used by AI agents. You will take primary ownership of one portfolio, based on your expertise and the complementary strengths of the wider team. Success will be measured through platform reliability, data quality, control effectiveness, secure access, operational readiness, and the ability of downstream products to scale without creating avoidable technical or governance risk. • Own the architecture and operational roadmap for an assigned platform portfolio, prioritising reliability, security, data quality, scalability, technical debt, modernisation, and product dependencies., • Deliver and operate production-grade foundations across pipelines, integrations, data platforms, governance controls, or shared agent services, with monitoring, support, change control, and lifecycle management., • Set and enforce technical standards for data modelling, ETL or ELT, APIs, testing, deployment, observability, lineage, access, retention, auditability, resilience, and production support, as relevant to the assigned portfolio., • Provide architecture assurance and engineering oversight to internal teams and delivery partners, reviewing designs, implementation quality, non-functional requirements, testing evidence, security, and production readiness., • Enable Compliance Risk Analytics and AI product teams by translating risk analytics data, integration, security, and infrastructure needs into scalable platform capabilities., • Lead enterprise technical relationships with Technology, Privacy, source-system owners, and delivery partners to resolve dependencies, secure approvals, and coordinate complex operational change., • Improve reuse, automation, and cost efficiency by standardising patterns, reducing manual support, simplifying the estate, and strengthening engineering and governance capability through documentation, coaching, and knowledge transfer. We are looking for professionals with these required skills to achieve our goals: • Significant experience designing, delivering, and operating enterprise data platforms, data engineering capabilities, governance and security frameworks, or AI-enabling infrastructure in production., • Deep expertise in at least one of the following areas: Data engineering and pipelines, including cloud data platforms, ETL or ELT, APIs, orchestration, data modelling, automated testing, deployment, observability, incident management, and operational reliability., • Data governance and agent infrastructure, including data classification, identity and access, lineage, retention, metadata, sensitive-data controls, telemetry, evaluation infrastructure, and governance assurance. Strong architecture and engineering leadership with experience making design decisions, setting standards, managing technical debt, assurance delivery quality, and operating services through their full lifecycle. Strong technical depth in P #J-18808-Ljbffr

AppFactor is the first fully native, end-to-end agentic orchestration platform built to automate software maintenance and modernisation at scale. We free enterprise engineering teams from the maintenance treadmill by cutting technical debt, clearing backlogs, and deploying optimised, cloud-native software autonomously. Unlike code generation solutions stuck in a code-level vacuum, AppFactor's platform is self-informed by where software actually runs. Full-stack context, parallel agent execution, built-in verification, and drift-free deployments mean the system doesn't just write code: It understands, fixes, and ships it end-to-end. You’ll be our first Solutions Engineering hire. A rare chance to own the function from the ground up. Working directly alongside our CEO, CTO and Account Executives, you'll be the technical authority that bridges our agentic orchestration platform with the enterprise customers. You'll lead technical discovery, build compelling proof of value cases, and become the trusted expert customers turn to when evaluating and adopting AppFactor. Whether they're tackling maintenance backlogs, cloud migrations, or large-scale code transformations, you'll know the platform inside out and know how to make it land. This isn't a role with a ready-made playbook: That’s where you come in. You'll bring the entrepreneurial drive and comfort with ambiguity that early-stage environments demand and the seniority to build the foundations that scale with us. • Build the SE function — You're the first. That means creating the playbooks, assets, and processes from scratch — and having the seniority and drive to do it without a template., • Own the technical sale — From first discovery call to signed deal, you'll lead the technical side alongside our AEs — qualifying fit, running demos, building proof of value cases, and making sure the right stakeholders become champions., • Make the platform land — Translate AppFactor's agentic orchestration capabilities into outcomes that resonate across the room, whether you're talking to a VP of Engineering or a CFO., • Evangelize the platform — Represent AppFactor externally through enablement sessions, partner conversations, and thought leadership. You'll help establish AppFactor as the definitive platform for automated software maintenance and modernisation at scale., • Connect the dots internally — Feed customer insight back into Product, enable the GTM team, and help Customer Success set up for a smooth handoff. You'll be the connective tissue across the business. Must-Haves • Senior SE pedigree — At least 3 years in a Solutions Engineering or Technical Consulting role with a track record of owning complex technical sales cycles in enterprise accounts., • Strong development foundation — 7+ years of hands-on experience in technologies such as Java, .NET, or similar enterprise frameworks, with the credibility to engage senior technical stakeholders from the development domain., • Technical breadth — Experience evaluating complex application architectures and enterprise-grade environments, with a strong understanding of cloud-native architecture, containers, Kubernetes, and DevOps practices. Modernisation experience a significant advantage., • RFP ownership — Demonstrated experience leading the assembly of technical materials in response to customer RFIs and RFPs., • Clear, compelling communicator — Able to create technical documentation, deliver training, and present complex concepts accessibly to both technical and business audiences — in writing and in person., • Startup DNA — You've worked in early-stage, high-growth B2B SaaS environments, know how to build without a blueprint, and thrive when the company is still being built around you., • Resourceful under constraints — When the product doesn't do exactly what a customer needs, you don't hit a wall. You find the angle, shape the solution, and make it work. The problem is real. Technical debt costs enterprises billions in lost engineering velocity every year. AI coding tools are only compounding the problem. AppFactor is the first agentic orchestration platform that automates the full cycle — from identifying and fixing debt to deploying production-ready software end-to-end. The timing is right. The platform is proven, customers are live, and the traction is there. You're joining at the moment where the right go-to-market motion turns a great product into a category leader. The team is serious. Industry veterans who've built and scaled enterprise software companies, engineers who deeply understand the problem, and a founding team that operates with high trust and high autonomy. You'll have real influence here from day one. • (Equity package), • Remote-first, • 28 days holiday incl. bank holidays + your birthday off, • 10-30% travel (UK/EU) to meet customers and the team Ready to Liberate Engineering Teams? If you're excited about transforming how enterprise software gets built and want to be part of solving one of the biggest challenges in technology, we want to hear from you. This role requires the right to work in the UK. The role is Remote First, but we ideally look for candidates in the London area. #J-18808-Ljbffr

The last major technological shift - the rise of the consumer internet - created LinkedIn as the networked winner in recruitment. The next great shift is here. AI is transforming how people and companies connect and it will redefine the global labour market. At Jack & Jill, we are building the company that leads this transformation. We're 17 months old, and have built a brilliant team of Europe's best engineers, operators and ex-founders. We are run-rating multiple £xm in revenue, and have raised $20M led by tier 1 VC Creandum (Lovable, Spotify, Black Forest Labs, Bolt). Read more on TechCrunch. In the coming years, every knowledge worker will have an AI agent managing their career, and every company will have an AI agent helping them hire. By connecting those agents, we're building a new infrastructure for the future of the labour market itself. If that vision excites you, come help us build it. We're hiring a GTM Engineer to join our Jill Delivery team, working alongside Ed Steele and Ed Kim. You’ll build the machine that enables us to scale our GTM and customer base management to the next level. Hundreds of companies have now set up a role via Jill. Our growth doesn't come from completely manual work - it comes from setting up scalable systems, identifying signals including which accounts are at risk before they churn, and which are ready to expand before they ask. This is a 0→1 role, and it's genuinely technical. You'll ship agents, own connections and integrations, and build the systems end to end. You'll also sit close enough to customers to know which problems are worth solving. What you'll actually do: Own internal tooling and systems. Build systems for our commercial team that scale our impact further, and provide greater visibility into what's actually happening across every account: usage, health, expansion signals, churn risk and more. Build complex, scalable agents. We build with agents constantly, and you'll ship even more advanced agents into our existing workflows. This could include automating customer-facing delivery, such as reactivation and expansion campaigns. Turn signal into action. Uncover leading indicators that predict outcomes like expansion and churn, and wire them into something that executes timely account-level interventions. Bring strong commercial focus to everything you do. The ideal hire will frame everything in terms of commercial and customer outcomes: retention, usage, expansion, roles and revenue per account, and more. Work deeply in the product. Collaborate with our engineers to A/B test features, improve customer enablement in-product, and constantly take on initiatives to improve our customer experience where possible. You can build complex systems. You've written or been exposed to production code, or you're a self-taught builder who has shipped products and put them in the hands of users. You're able to navigate a codebase, and work with agents and APIs. You think in systems. You see a manual process and instinctively work out what the scalable version looks like. You're allergic to work that has to be redone every week. You're genuinely commercially minded. You care about value delivered to the end customer, not perfect systems for their own sake. You focus ruthlessly on systems that move the needle towards improving business outcomes. You use agents constantly. You never build without them, you understand how to improve them and where they break, and you have opinions about what should and shouldn't be automated. You've been exposed to hiring processes in some way. Ideally, you understand what it's like to be a hiring manager: the anxiety of a role sitting open too long, and why speed and communication matter so much. That gives you genuine empathy for our customers. You're high agency. You find the highest-leverage problem and run at it hard. You'd rather ship something rough this week and iterate, than spec the idealised version for next week. We're open to exceptional people from a range of backgrounds, but you likely fit one of these: The GTM Operator Turned Technical: You’ve spent time on the front lines, leading sales calls and working in sales teams. You’ve analytical, have tinkered with agents, and you’ve upskilled technically. You’re now leaning into building systems. The Technical RevOps Profile: You've worked in RevOps or growth, and built the systems yourself rather than briefing someone else. You’ve shipped scalable systems into production: automations, integrations, internal tools, agents and more. The Engineer Who Turned Commercial: You started as a software engineer and moved toward the customer - solutions engineering, forward‑deployed roles, sales engineering, or growth. You want a predictable 9-to-5. We're building fast and the work is intense. We respect life outside of work, but we do what it takes to win. You need a highly structured environment. We're in the ambiguous, thrilling phase of 0-to-1. You'll be creating the structure, not operating within it. You want to jump straight into leading a team. This is primarily a hands-on IC role. The opportunity to grow is real, but you need to earn it by doing first. Founded by two experienced serial founders Matt (CEO) - previous company grew to a $600m valuation in 3 years before exiting to Deel Saaras (CTO) went 0→ $3m ARR in a year as founder/CTO YC AI sales startup Kular.ai You’ll be working closely alongside exceptional commercial leaders. Ed Steele (Founding Operator, Jill Delivery) - Ex-founder & COO of Hoxton Farms. Raised $30m. ex-Thought Machine. K Fujita (Jill GTM Lead) - 2x $0-25m, 2x exits, 2x $0-1m, ex VP Sales/Marketing Omnipresent, ex Entrepreneur First Founder. We're a 25-person, founder-heavy team (17 ex-founders) Check out our full team here. We're building a high-performance environment. You'll work hard, and we want to clear your plate so you can perform at your very best. Competitive Total Compensation (we let you choose your cash : equity split) Private health insurance with Bupa An Uber home if you're working late Deliveroo dinners in the office Fortnightly home clean Brand new MacBook In-person, 5 days a week at our London office in Shoreditch Exchange, surrounded by builders. #J-18808-Ljbffr

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences – focusing on raising the floor for those who need it most. We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation. That means making Claude the go‑to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimagining pharma pipelines – and building the technical infrastructure to back that up. You'll work directly with flagship research partners like The Howard Hughes Medical Institute (HHMI) and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside – you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude’s usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments Applied AI team focused on bringing life sciences closer to the frontier. • Partner deeply with flagship life sciences research institutions – understand their scientific workflows end-to-end, build hands‑on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day‑to‑day., • Develop reusable ecosystem infrastructure, like MCP servers for domain‑specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically‑grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch., • Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype‑to‑trust gap) and feed these findings back to product, engineering, and research., • Create technical content and documentation that lets partners self‑serve, so what works for one institution can scale globally without the same level of hand‑handing., • Deep research experience in life sciences, biomedical research, or scientific computing., • Bonus if you’ve studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics., • Experience building LLM‑powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks., • Builder credibility from shipping production code as a software engineer, forward‑deployed engineer, or technical founder., • A scrappy mentality – comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. Annual Salary: £225,000 - £255,000 GBP For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. • Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience, • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience, • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position, • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think that this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. #J-18808-Ljbffr

Job Role: Senior Forward Deployed Engineer Job Location: London, UK Experience: Mid-Senior Level Work Type: Hybrid / Open for full-time & Contract At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+ and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community. Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Client is building a small, senior team of Forward Deployed Engineers to design and ship agentic AI applications across our Corporate Functions - Finance, HR, Legal, Procurement, Marketing and Sales operations. You will be embedded directly with the people who own the process, taking a real business problem from idea to a working, production-grade solution in weeks rather than quarters. This is hands-on engineering. You will typically be the sole technical seat in a small pod alongside a process owner and a business sponsor, building applications that run multi-step workflows, hold state across many users, and act directly on enterprise systems of record. That is materially harder than a chatbot, and it is the point of the role. You will build on Microsoft Fabric as our enterprise data platform and on Azure AI services, and you will help set the technical patterns the wider team reuses. If you want to build serious AI systems that change how a 50,000-person business actually works, and you want the autonomy to do it properly, this is the role. • Design, build and harden agentic AI applications that read from and write to enterprise systems of record, grounded on Microsoft Fabric and Azure AI services., • Embed with a Corporate Function team as the technical lead of a small, multi-functional pod - moving from problem, to prototype, to production at pace., • Run a tight, iterative build cycle: align on the outcome, prototype, gather feedback, refine and finalize, typically within one to two weeks per loop., • Own the quality of what you ship end to end - security, reliability, scalability, observability, and safe, governed write-back to source systems., • Make the right build call for the problem: low-code and agent-builder platforms where they fit, custom code where they do not., • Ensure the data behind each solution is AI-ready - modelled, governed and documented in Fabric, with lineage and access control that will stand up to audit., • Set and document the reusable technical patterns, components and guardrails the team applies across every engagement., • Become credible in a new business domain quickly and challenge requirements constructively to land on the right solution rather than the requested one., • Proven experience building agentic or multi-agent AI systems that run in production and serve real users - working systems, not demonstrations., • Strong command of state management, concurrency, idempotency and authorization for systems that act on a system of record on behalf of many users., • Hands-on integration experience with enterprise APIs and data platforms, including designing safe read and write paths and handling failure gracefully., • Working knowledge of modern AI application patterns - retrieval-augmented generation, prompt and context design, agent orchestration, tool use and protocols such as MCP., • Strong, hands-on command of a major cloud platform, ideally Azure - able to independently provision, configure, deploy, secure and operate cloud resources, owning an application end to end rather than only consuming pre-built services., • Demonstrated ability to prototype rapidly, using AI-assisted development and fast iteration to turn a loosely defined idea into something usable in days., • The judgement and autonomy of a senior individual contributor - able to make sound architecture and feasibility calls alone, under time pressure, and explain them to non-technical stakeholders., • Direct experience with Microsoft Fabric - Lakehouse, Warehouse, Data Factory, Real-Time Intelligence, Power BI and OneLake - or a comparable enterprise data platform., • Experience with Microsoft Copilot Studio, Power Platform, Azure AI Foundry, or agent-builder platforms such as Lyzr or Moveworks., • Integration experience with major Corporate Function systems of record - for example Oracle HCM, SAP, Workday, Salesforce, Dynamics 365 or ServiceNow., • Familiarity with enterprise governance concerns: identity and access management, data classification and residency, responsible AI policy, and evaluation of model output., • A background that blends software engineering with consulting, business transformation or a Corporate Function discipline., • Experience delivering in short, iterative cycles directly with non-technical business stakeholders., • A practical build exercise: take an ambiguous business problem to a working agentic prototype and explain your design trade-offs., • A systems design discussion covering state, concurrency, authorization and safe write-back to a system of record., • A stakeholder conversation testing how you scope, challenge and communicate with a non-technical business owner. #J-18808-Ljbffr

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As an Applied AI Engineer at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You'll lead deep technical engagements, partnering directly with engineering teams to help them develop their products on top of Claude - advising on implementation, agent design, and working alongside them to build at the frontier of AI. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide customers through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to succeed with Claude. • Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI, • Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development, • Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable customers to build and scale with Claude, • Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements, • Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team, • Create technical content for developer audiences including documentation, tutorials, and sample code, • Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events, • Travel to customer sites for workshops, implementation support, and relationship building, • 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder, • Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions, • Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale, • Strong programming skills with proficiency in Python and experience building production applications, • Experience working with high-growth, tech-forward companies, • Ability to context-switch across industries (healthcare, fintech, etc.) and use cases, • Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience, • Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans, • Experience facilitating technical workshops, hackathons, or developer-focused events, • Passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: #J-18808-Ljbffr

Location: London (or surrounding areas) As a Senior Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive the company adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. • Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, GenAI and machine learning, • Build and deliver compelling proofs-of-concept and live demos on the the company Platform that drive technical wins, • Own frontline technical relationships with customer engineers, data teams, and technical leads, • Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption, • Navigate competitive landscapes by articulating the company differentiation through hands‑on demonstrations, • Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community, • 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands‑on consulting role, • Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production‑quality code — live coding is a required interview stage, • Hands‑on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP), • Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink), • Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews, • Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics, • Strong presentation and demo skills — you will build and present a live solution during the interview, • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience), • the company certification or experience with the the company Platform, • Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow, • Background at a data/AI company, cloud provider, or technical consulting firm Recruiter Screen -> Hiring Manager Screen -> Design and Architecture Interview -> Live Coding Assessment -> Build, Demo, Pitch! Presentation -> Reference Check the company is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram. At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

Location: London (or surrounding areas) As a Senior Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. • Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning, • Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins, • Own frontline technical relationships with customer engineers, data teams, and technical leads, • Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption, • Navigate competitive landscapes by articulating Databricks differentiation through hands‑on demonstrations, • Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community, • 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands‑on consulting role, • Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live coding is a required interview stage, • Hands‑on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP), • Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink), • Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews, • Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics, • Strong presentation and demo skills — you will build and present a live solution during the interview, • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience), • Databricks certification or experience with the Databricks Platform, • Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow, • Background at a data/AI company, cloud provider, or technical consulting firm Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. #J-18808-Ljbffr

Searchable is an agentic marketing platform built for the age of AI search. ChatGPT, Claude, Perplexity and Google AI Overviews have transformed how people discover information. Brands now need to measure and optimise their visibility across all of the major AI search engines. We help companies grow their organic presence across SEO, AEO, and GEO through a fully agentic platform that identifies opportunities, recommends actions, and automates improvements with Searchable’s AI agent. We’re at $5M ARR in just 10 months, backed by top angels and VCs, and building the team that will define the category. We’re office-based five days a week near London Bridge. If you thrive in a startup culture where people put in hours because they love solving hard problems and taking radical ownership, you'll fit right in. As an Enterprise Account Executive, you will own complex, high-value sales cycles with large brands across retail, e-commerce, consumer, financial services, travel, technology and B2B. These organisations run multiple brands, markets and marketing teams, and they buy through cross-functional groups that include brand, SEO, content, communications, analytics, IT and procurement. You'll help senior marketing leaders understand how AI search is changing the way customers discover, compare and choose brands, and how Searchable gives them the visibility, benchmarks and insight to respond. This is a high-impact, early GTM role for someone who can run long, multi-stakeholder deals, build trust with CMOs and VPs, and help shape how the world's biggest brands approach AI search visibility. You'll work closely with the founders, marketing, customer success, product and partnerships to define our enterprise strategy and turn early relationships into lasting, expanding partnerships. Own the full enterprise sales cycle, from account planning and executive outreach through discovery, pilot, business case, procurement, security, legal and close. Build and manage a focused list of target accounts, with a clear account plan for each. Build relationships with CMOs, VPs of Marketing, Brand, Digital and Communications, and global heads of SEO, content and analytics. Navigate complex buying groups across marketing, communications, analytics, IT, security, finance and procurement. Design and run pilots with clear success criteria, then turn successful pilots into multi-brand, multi-market agreements. Position Searchable as a strategic platform that helps enterprise teams measure AI search visibility, track sentiment, benchmark competitors and connect AI referral traffic to business outcomes. Build business cases that connect AI search visibility to revenue, brand reputation and market share. Identify high-value use cases across SEO, AEO, content strategy, digital PR, e-commerce, demand generation and brand protection. Work alongside customers' agencies where relevant, so Searchable fits into how the brand already operates. Partner with customer success on rollout plans across brands, regions and teams, setting up long-term expansion. Feed market insight back into product, helping shape enterprise requirements such as permissions, security, integrations and executive reporting. Help define Searchable's enterprise motion, including account selection, qualification, deal strategy, pricing feedback and expansion playbooks. A proven enterprise B2B SaaS seller who has closed large, complex deals with global brands or enterprise marketing organisations. You understand how large marketing organisations buy: budget cycles, competing priorities, procurement, security reviews and the need for executive sponsorship. You are comfortable selling an emerging category and can build a business case that stands up to a CMO, CFO and procurement. You are strategic and patient on long cycles, but relentless about keeping deals moving and every stakeholder aligned. You run a rigorous sales process. You map buying groups, qualify thoroughly and forecast accurately. You are credible with C-suite marketing leaders, but equally comfortable working with practitioners in SEO, content, analytics and communications. You are entrepreneurial and excited to help build the enterprise motion, not simply inherit one. You care about the future of search, AI and how brands will be discovered as people increasingly ask AI systems for answers. 5+ years of B2B SaaS sales experience, including full-cycle ownership of enterprise deals. Experience selling to enterprise marketing, brand, SEO, communications or digital teams, or to marketing technology buyers. A strong track record of hitting or exceeding quota on large, complex deals with long sales cycles. Experience navigating procurement, security reviews, legal negotiation and enterprise agreements. Experience landing and expanding across multiple brands, regions or business units. Ability to build senior relationships and multi-thread across large organisations. Excellent written and verbal communication, including executive-level presentations and business cases. Comfort operating in an early-stage environment where speed, iteration and ownership matter. Interest in AI search, SEO, AEO, GEO, digital marketing, analytics or the future of brand discovery. Existing relationships with enterprise CMOs, marketing leaders or global SEO and digital teams. Experience in SEO, content marketing, martech, analytics, social listening, PR tech or competitive intelligence. Familiarity with tools such as Google Analytics, Google Search Console, Salesforce, SEMrush, Ahrefs, Similarweb or related enterprise marketing platforms. Experience with a structured sales methodology such as MEDDICC or Command of the Message. Experience selling into accounts where agencies influence or co-own the buying decision. AI search is creating a new category of marketing infrastructure. Brands no longer only need to rank on Google; they need to understand how they appear in AI-generated answers, recommendations, citations, comparisons and shopping journeys. Searchable is building the platform that helps marketers and agencies make sense of this shift and turn it into growth. This is a chance to join early, help shape a fast-moving category, work directly with the founding team and build the enterprise motion from the ground up. Salary: Competitive (DOE) + lucrative OTE Meaningful early-stage equity pre Series A 25 days' holiday plus bank holidays Enhanced salary sacrifice pension Workplace nursery scheme Monthly fitness and wellbeing reimbursement Flexibility in hours – around life and family commitments #J-18808-Ljbffr

About Kernel Agents are starting to sell, buy and operate on behalf of companies. But before an agent can close a deal, qualify an account, route a lead or assess risk, it has to answer a basic question: which company is this? Today, that answer is messy, and no one answers it reliably. Business identity lives across CRMs, ERPs and third-party datasets full of duplicates, missing parent companies, stale addresses and incorrect enrichment. The cost shows up across the enterprise: sales teams miss revenue opportunities because they lack the right account context; operations teams take on avoidable exposure because risk signals are fragmented or wrong; and finance teams end up chasing, writing off, or defaulting on bad debt that should have been caught earlier. Humans have worked around that mess for years. Agents cannot. They need a reliable business identity layer they can trust. Kernel is building that layer: the business registry for agents. We issue a permanent KERN ID for every business, plus the context an agent needs to act on it. Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Checkout already use Kernel on their own systems. Agents are next, and there will be far more of them. We have raised $14M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 5x YoY. We are looking for Mid-Market Account Executives. This role is focused on selling into global mid-market businesses with distributed teams, multiple buying centres, layered governance, and high data sensitivity. These are strategic accounts where the impact of accurate hierarchies and clean CRM data is measured in millions. Our first ramped AEs are far exceeding quota, so we know the motion works. Our mid-market motion is working. We are generating strong demand and building pipeline within large organisations. You will be responsible for driving high six-figure opportunities and are confident that we will close the first 7 figure deals this year through complex, multi-stakeholder sales cycles. Our targets call for millions of additional ARR over the next year. You will play a major role in that. Hours - This will be an exciting but intense job. Kernel is growing extremely fast and hours can often be long. Many of our customers are on the West Coast, and meetings can be held late in the evening. Working location - Minimum 4 days a week in the London office (most people do 5). There will be international travel involved for this role in visiting prospects. You’ll manage complex sales cycles with some of the best mid-market businesses out there, from mid six-figure through to seven-figure+ deals. Multi-thread within accounts and build executive-level relationships, including VP and C-level stakeholders. Most opportunities will be sourced for you by the SDR team and Growth team, however sourcing additional pipeline is expected. You’ll collaborate with the wider team on GTM strategy as we expand our ICP & experiment in other verticals. You’ll help to create our sales processes as you build them. You’ll become the best person in the company at explaining & pitching the product. You’ll work closely with product, engineering, and customer success, bringing in insights from across the company and performing an essential part of our product feedback loop. Entrepreneurial: creative, resourceful. Executive presence: You are comfortable engaging VPs, CROs, CIOs, and senior RevOps leaders. All-in: hard-working, excited to stretch yourself, willing to take out the trash. Clear thinker, good writer: you can crisply articulate your ideas, goals, and plans and help our customers make sense of hairy consulting-like problems. 2-5 years of experience. At least 1 year consistently closing deals worth $50k+/year in a multi-stakeholder sales process, consistently hitting six- to seven-figure targets. Ability to execute on a consultative, solutions-oriented, value-based selling methodology (MEDDPICC). Track record of consistent over-achievement in past sales roles. Ability to discuss technical concepts with prospective customers and translate requirements into a demonstrable product. Comfort negotiating and navigating contracts, security and legal discussions without support. Strong verbal, written, and interpersonal skills. Startup/scale-up experience is a plus. Experience selling to Revenue Operations, GTM and/or Sales teams. Familiarity with Salesforce. Salary: £110k-£140k OTE + equity 24 days holiday per year + bank holidays £450 Monthly Office Dinner Allowance 2 weeks work-from-anywhere Generous parental leave policy Pension plan Top-spec equipment and central London office Team events and dinners Work directly with the founders to scale the systems that power enterprise AI High-autonomy, high-trust environment with a small team shipping at pace 30-minute intro call with Talent Partner. You’ll discuss your sales experience and motivations. 1-hour interview with Head of Sales. You’ll deep dive into your experience, sales targets & achievements, and Mid-Market AE at Kernel. Discovery role play (≤ 2 hours prep). Founders interview with Anders (CEO) for culture and values alignment. If there is mutual fit, we move to references and offer. #J-18808-Ljbffr

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. We're hiring our first Demand Generation Lead for EMEA, Middle East and Emerging Markets. You'll own how LangSmith shows up in the region and how that turns into pipeline from partnering with performance marketing, lifecycle marketing, integrated campaigns and webinars to build a localized campaigns. You'll be deciding what works in the region, run the experiments to prove it, and then scale what works into a repeatable regional playbook. You’ll be a builder with central support from our US demand gen, product marketing, and marketing ops teams. Location: London or Amsterdam (one of our EMEA office hubs). Build the EMEA demand plan: which markets, which segments, which channels, and what each is expected to return Own an EMEA pipeline target and report against it sourced and influenced, by channel and by market Decide how the regional demand budget gets allocated for localized programs. You'll own the whole mix for the region and be hands-on in all of it: Paid digital: partner with performance marketing to support localized 3rd party promotion, paid search, paid social, and retargeting strategy, including account-level and contact-level targeting to give sellers air cover in named accounts Webinars: run a regional cadence across live demos, thought leadership webinars, technical workshops, and customer stories, in local time zones with local speakers where it helps Integrated campaigns: adapt global LangSmith narratives and build region-first campaigns when the market needs something different Lifecycle: build segmented nurtures and post-event follow-up for regional leads, with attention to language and time zone. Work directly with EMEA AEs and SDRs to understand what converts in-region and co-design follow-up plays that drive pipeline. Partner closely with Field Marketing to build joint regional plans, align priorities, and create a coordinated interface into the sales team. Support new-hire ramp by identifying warm signals, share campaign hand-off details, marketing programs, and proven outreach plays reps can use in their first 90 days. Collaborate with RevOps on targeting, routing, campaign tracking, and reporting to improve regional execution and pipeline visibility. 7+ years in B2B demand generation, growth marketing, or integrated campaigns, ideally in developer tools, infrastructure, or technical SaaS Track record of building demand programs in EMEA across multiple countries, with a clear view of where localization matters and where it doesn't You’ve personally run paid, webinars, lifecycle, and ABM You write the copy, build the landing page, pull the report, and launch the campaign Comfortable with a technical product and a technical audience. You don't need to write code, but you should be able to hold a conversation about agents, evals, and observability without a script Strong partner to Sales. You've worked shoulder to shoulder with AEs and SDRs and you're comfortable with a pipeline number Fluent in the numbers: funnel conversion, CPL, cost per SQO, pipeline contribution, and attribution's real limits Working command of a modern stack, Hubspot, Influ2, Qualified, Goldcast, Zoom Webinar, Zapier, SFDC, Reo.dev, and Clay Comfortable with ambiguity and true ownership Salary Range: 95,000 GPB - 125,000 GBP + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more. #J-18808-Ljbffr

In this key role, you'll be working with the desk head responsible for the syndication and execution of deals across our Securitised Products and Alternatives Syndicate business Interface directly with key issuer and investor clients to deliver positive customer outcomes and long-term sustainable value Hone your existing expertise and learn about a wide variety of asset classes and transaction structures Take on a role with great visibility and the chance to make a real difference for our business As a SP&A Associate, you'll be acting as an agent for the placement of Securitised and asset backed risk for both NatWest Group as well as external clients. The role will cover a broad range of assets including mortgages, auto finance, corporate loans/SME, unsecured consumer loans/receivables and other exposures. For our Alternatives syndicate, you'll be acting as an agent to place risk in assets such as real estate, infrastructure and quasi-governmental secured and unsecured bonds as well as taking a key role in the distribution of the NatWest Significant Risk Transfer programme (SRT), a key tool for managing capital within the group. You will also be: • Linking with our origination, structuring, trading and sales teams to assist in the origination, structuring and distribution of risk into our account base, • Supporting end-to-end deal execution activities, including roadshows, bookbuilding and both private and public deal execution, • Utilising your understanding of asset classes and investor appetite to help structure the risk into market acceptable tradeable securities, • Engaging directly with both issuers and investors to deliver strong outcomes for our customers and build long term relationships, • Providing pricing updates and market intelligence, • Supporting senior team members in the assumption and management of underwriting and distribution risk We're looking for someone with a good understanding across a broad range of asset classes, including mortgages, real estate, unsecured consumer loans/receivables, corporate loans/SME, alongside an understanding of liquidity across these asset classes. Syndicate experience is not necessarily required and can be developed over time working with the desk head. • An understanding of the competitive market dynamics of asset classes, pricing and investor base, • An understanding of structures across a range of asset backed structures including ABS, CLO, and/or CMBS as well as may be SRTA potential wider understanding of debt financial markets, including repo, derivatives and structured debt solutions, • Ability to work in teams and managing multiple stakeholders efficiently, • The proven ability to adhere to the highest standards of compliance, sitting between the public and private sides 35 03/11/2026 Ways of Working:Office First #J-18808-Ljbffr

PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform. PagerDuty is seeking a Forward Deployed Engineer (SRE Agent) to join our customer-focused SRE Agent team! As a Forward Deployed Engineer, you will work inside PagerDuty’s largest customer accounts, connecting the SRE Agent to their production environments (observability tools, infrastructure as code, GitOps tooling, and CI/CD pipelines) and guiding their teams from AI-assisted incident response to supervised and autonomous actions with safety guardrails. You will also contribute code directly back to the core SRE Agent product, building reusable tools, connectors, and skills derived from real customer needs. This is an exciting opportunity to join the product engineering team as the Staff Engineer and directly shape how agentic AI operates within the most strategic customers. The ideal candidate brings a strong background as a software engineer, hands-on experience shipping LLM/agentic systems to production, and the customer-facing skills to bridge technical execution with business strategy. • Embed and drive SRE Agent adoption: Work onsite and in regular contact with 2-4 strategic customer teams to deploy the SRE Agent, configure tools and connectors, and embed AI actions across their incident management lifecycle to drive adoption and value, • Build and contribute core agent capabilities: Scope, design, and build reusable agent tools, connectors, and skills on the agent’s extensibility surfaces, shipping them through the product team's repos, review process, and evaluation gates., • Run pilots and unblock customer adoption: Stand up new agentic capabilities with strategic accounts first, gather eval data, identify technical blockers (permissions, telemetry, missing connectors), and build production fixes directly into the product., • Integrate with production stacks and progressive delivery: Connect the SRE Agent to IaC (Terraform, Pulumi), GitOps (ArgoCD), CI/CD pipelines, and observability platforms, guiding customers safely from AI-assisted to autonomous operations., • Set technical direction and feedback insights: Define 3-6 month technical roadmaps across assigned accounts, provide architectural guidance to product managers and engineering managers, and bring customer friction and eval data back to the core team., • 8+ years of experience building and shipping production software across team boundaries (assessed against PagerDuty Staff Engineer / SDE V expectations)., • Hands-on experience with LLM and agent systems in production, including agent development, tool-use frameworks (MCP or equivalent), evaluation pipelines, and guardrail design., • Customer-facing skills. You can run a technical design session with a customer's engineers and present the business case to their leadership., • Comfortable with ambiguity. You can start from a vague problem statement in an unfamiliar environment and get to working software without much direction. Former founders and founding engineers tend to do well in this role., • A record of shipping software that got adopted, and the judgment to recognize which customer requests generalize and when the right answer is not to build., • Infrastructure & Deployment expertise: Demonstrated experience with Terraform or Pulumi at scale, GitOps (ArgoCD or equivalent), CI/CD pipeline design, and progressive delivery patterns (canary, blue/green, soak periods)., • Willingness to travel 25-50% during active customer engagements., • Practical operational knowledge of incident management and observability concepts (on-call, postmortems, SLOs/SLIs, alerting)., • Customer-facing technical consulting, forward-deployed engineering, or solutions architecture experience on top of a core software engineering background., • Background as a founder or founding engineer accustomed to navigating high ambiguity and driving unscripted problem-solving., • Experience with policy-as-code, fine-grained permissioning, or safety guardrail patterns for agent-driven automation., • Production experience with PagerDuty or competing digital operations and incident management platforms., • Active open-source contributions to the AI agent or Model Context Protocol (MCP) ecosystem. This role is expected to work from the PagerDuty office in London or a client site at least 2 days a week. Hesitant to apply? Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance. What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site. Your package may include: • Competitive salary, • Comprehensive benefits package, • Flexible work arrangements, • Company equity*, • ESPP (Employee Stock Purchase Program)*, • Retirement or pension plan*, • Generous paid vacation time, • Paid holidays and sick leave, • Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO, • Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*, • Paid volunteer time off: 20 hours per year, • Company-wide hack weeks, • Mental wellness programs *Eligibility may vary by role, region, and tenure About PagerDuty PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses PagerDuty is Great Place to Work-certified, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. Go behind-the-scenes on our careers site and @pagerduty on Instagram. Additional Information PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy. PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email and we will work with you to meet your accessibility needs. PagerDuty uses the E-Verify employment verification program. #J-18808-Ljbffr

Job Category Sales Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Production experience required. Builder mindset non-negotiable. Salesforce is hiring Technical Builders — engineers with a few years of shipping under their belt and an appetite for the agentic frontier. You’ll embed in a builder pod, a cross-functional team that designs, builds, and deploys agentic solutions for Fortune 500 customers. From day one, your code runs in customer environments where the stakes are real. This is not configuration work. This is product engineering with a customer on the other side of the keyboard. • AI-Powered Development: Ship real customer solutions, augmented with best-in-class suite of AI tools — Cursor, Claude, and Salesforce coding products like Vibes — embedded into your day-to-day workflow., • Pod-Based Delivery: You’ll work alongside Senior Technical Builders and a Strategic Builder. Real ownership of components, structured mentorship from people who’ve shipped agentic systems at scale, and a clear path to leading complex deliveries yourself., • Frontier Access: Agentforce is evolving in real time. You’ll work on capabilities most engineers won’t touch for months — and your field insight will go directly to the product team building them., • Develop AI agents and experiences that take real actions for real companies. Agentforce is in production at some of the largest organizations on the planet. The work matters because the customers depend on it., • Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging the Agentforce platform and current LLM techniques., • Own technical components end-to-end: from architecture choice to deployed, validated, observable in production., • Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output., • Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months., • Surface platform gaps, edge cases, and field insights to senior Builders and the Agentforce product team. Your real-world experience is the product feedback loop., • Partner with the Strategic Builder in your pod to translate customer business challenges into agentic solutions that actually ship., • You have 3+ years of software engineering or technical delivery experience, with at least one production system you’d be proud to walk us through., • You’re fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex — and willing to add to that list as the work demands., • You’ve been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you’d change., • You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them., • You can hold your own in a room with sales teams and customer architects., • You ship quality code and evaluate AI outputs with engineering rigor., • You thrive in the group chat that’s building something, not just talking about it., • You bring sharp problem-solving instincts and a get-things-done mentality., • You’re excited to travel ~25% of the time, working directly alongside customers., • Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist), • Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns, • Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery), • Prior customer-facing technical delivery (consulting, FDE, professional services) When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications — without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. #J-18808-Ljbffr

Based within the Cloud & Engineering Practice, the Lead Technical Architect role is accountable for driving the growth of our architecture capability while supporting client deliveries and providing technical assurance to our engineering teams. We’re looking for technical leaders who can work closely with client stakeholders and our delivery teams to help shape, design and deliver predominantly cloud-based architectures. They will also provide architecture oversight and help clients to develop and evolve their technical strategy. People in this role primarily work consultatively and are expected to build relationships with clients across our industry verticals, ranging from Central Government to Health and Local Government. Identification of growth opportunities for existing accounts and new clients is also a key responsibility. Responsible for helping to ensure the successful delivery of high quality technical outcomes for our clients: • Taking responsibility for understanding client requirements and communicating between technical teams and the business., • Align your team’s work with department and government technology strategy, participating in strategic technical decisions and challenging previous decisions where needed., • Be responsible for technical design and development of public services of various sizes, how they interact with their surroundings (including other projects, teams and organisations), and how they evolve over time., • Be responsible for ensuring non functional requirements are identified and delivered, particularly relating to security and operability in the cloud., • Challenge entrenched practices and influence decision makers, and look for deeper underlying problems to solve, and larger opportunities for digital transformation., • Facilitate workshops and other collaborative activities leveraging lean and agile techniques with both your team and the client to ensure the service architecture meets user needs and enables business goals., • Provide technical leadership to our delivery teams and strategic architectural advice to clients. Responsible for driving growth: • Shape and deliver opportunities on client accounts by providing expert engagement as a trusted technical leader., • Provide pre-sales support on bids by calling on technical experience to confidently address stated client needs., • Shaping and drafting responses and supporting proposal presentations to existing or new clients to help add value and credibility and maximise successful bid outcomes., • Provide thought leadership through supporting marketing initiatives, writing blog posts, speaking at events, etc., • Working with and in account teams to build strong client relationships and find additional growth opportunities. Responsible for providing support to Made Tech colleagues and promoting better understanding and integration of technical architecture across Made Tech: • Leading and championing the practice across Made Tech through community of practice involvement and by coaching and mentoring more junior team members., • Presenting learnings to the Software Engineering Community of Practice., • Supporting and briefing our client partners to help them better understand our technical propositions with the goal of identifying additional opportunities., • Line management of more junior colleagues to support their development, pursuit of career goals and management of their overall performance., • Help build and maintain a diverse, inclusive culture across the development community, growing awareness, inclusivity, and balance. Responsible for assuring the quality of technical deliveries: • When not actively working with clients, being available to delivery teams to provide architecture support and guidance., • Reviewing architecture quality at various checkpoints throughout a delivery’s lifecycle. Prioritise a positive employee experience: we invest in ensuring we maintain a positive employee experience. Where constraints or controls are necessary ensure these do not overly encumber people delivering for our clients, where policies are required ensure these are lightweight, jargon free, relevant and “just enough”. Align to commercial goals: we understand and align improvements to the commercial goals of the business. Ensure all prioritised activities can be related back to the commercial benefit they will deliver. Facilitate commercial growth wherever possible. Value close collaboration: we collaborate and work with colleagues across the business in a positive and supportive way. Help foster a culture of continuous improvement by offering both constructive and reinforcing feedback. Be part of the solution. Empower teams to deliver outcomes. Take a pragmatic approach: we appreciate that as a rapidly growing business we sometimes need to make uncomfortable tradeoffs. We balance risk and reward appropriately, and seek to make the right decisions to enable the business to achieve its long‑term vision. If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we’ll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. We’re committed to building a happy, inclusive and diverse workforce. You can get a sense of what it’s like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to chat to each other. The Slack groups that have formed give an idea of the diversity within Made Tech. If you’d like to speak to someone from one of these groups about their experience as an employee, let your recruitment agent or Made Tech Talent Specialist know. The groups are: • disability, • lgbtqiaplus-allies-and-activists, • women-in-tech We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We’re also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: • 30 days Holiday - we offer 30 days of paid annual leave, • Flexible Working Hours - we are flexible with what hours you work, • Flexible Parental Leave - we offer flexible parental leave options, • Remote Working - we offer part time remote working for all our staff, • Paid counselling - we offer paid counselling as well as financial and legal advice An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' continuous UK residency and 5 year' employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. #J-18808-Ljbffr