Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

Job Purpose: The Service Technical IT Applications unit is seeking a highly motivated, team-oriented, and customer-focused Technical Program Manager. This leadership role encompasses responsibility for overseeing programs and portfolio comprising of numerous critical applications. This position involves providing delivery and technical leadership and guiding the delivery team to ensure alignment with unit, department, divisional, and AHM business unit objectives. The Team Manager will oversee multiple projects, including business transformation initiatives utilizing modern technology and SaaS platforms for the Service division and working with global teams.

Key Accountabilities:

• Vision & Strategy:

Lead the IT team to support the Service and Planning business unit with their business application needs.

• Build and maintain high performing IT teams:

Foster associate development and long-term capability by teaching, coaching and mentoring, integrated with consistent and effective individual performance Management

• Achieve the project goals for the Team:

As approved annually, including schedule, budget and quality commitments

• Provide Technical and Solution Leadership:

Design business and technical solutions and provide solution architecture oversight.

• Promote IT and its capabilities:

Build NA relationships and network to achieve trust and credibility, by discovering and meeting the needs of internal and external customers

Qualifications, Experience, and Skills:

• IT / Computer Science related Bachelor Degree and/or equivalent work experience
• 8 or more years in Information Technology/Information Services
• 5 or more years supervisory, resource management, vendor management experience
• 5 or more years experience supporting IT Delivery, preferably in automotive industry
• 5 or more years experience managing and delivering large/ multiple projects, platforms, and products
• Must have strong project management skills to manage deadlines while delivering quality results, on time, on budget
• Experience managing teams with differing priorities and levels of expertise;
• Strong written and presentation skills and ability to effectively communicate at all levels of the organization
• Strong problem-solving and root cause analysis skills
• Working experience with estimation, planning, developing and managing a budget,
• People management, team building, coaching, mentoring, development, negotiations, conflict resolution, and strong interpersonal skills.
• Strong experience in vendor management, contracts management, SOW, RFP & RFQ process
• In-depth demonstrable knowledge of applicable SOX, PII, data privacy practices, security, and governance
• Experience leading multiple software development and implementation teams (Microsoft, Salesforce, Enterprise software etc)
• Experience in designing solutions and providing technical architecture oversight
• Experience as a leader for solution and business architecture, provide direction and oversight of design, methodologies, tooling, partnerships, and support models.
• Experience in performing modeling, gap analysis, and crafting architecture artifacts, such as context diagrams, data flow diagrams, business capability roadmaps.
• Experience in working with Architecture Review Board.
• Experience in leading the technical workstream for critical projects

Workstyle:

• Onsite at least 4 days per workweek. 1 remote workday a week may be possible with prior departmental approval.

Visa sponsorship issues:

• This position is not eligible for any work visa sponsorship.

Relocation assistance:

• Not eligible

What differentiates Honda and make us an employer of choice?

Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Regional Bonus (when applicable)
• Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401(K) Plan with company match + additional contribution

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued Learning
• Training and Development Programs

Additional Offerings:

• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Tuition Assistance & Student Loan Repayment
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

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This is a hybrid technical and commercial role, requiring you to drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, and creating and driving plans and strategies for Databricks colleagues to build upon. You will also be responsible for becoming the post-sale technical lead across all Databricks products, using your skills and technical credibility to engage and communicate at all levels with an organisation.

Your impact will be significant, as you will be engaged with Solutions Architects to understand the full use case demand plan for prioritised customers, lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts, and be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders.

Key responsibilities include:

• Engaging with Solutions Architects to understand the full use case demand plan for prioritised customers
• Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders
• Creating, owning, and executing a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
• Developing an execution plan that covers all activities of all customer-facing technical roles and teams to cover main use cases moving from 'win' to production, enablement/user growth plan, product adoption, organic needs for current investment, executive and operational governance, and providing internal and external updates

To succeed in this role, you will need to have 10+ years of experience in technical project or program delivery within the domain of Data and AI, with a strong understanding of solution architecture related distributed data systems, programming experience in Python, SQL, or Scala, and experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.

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You'll connect deeply with customer stakeholders to understand their business goals, technical environments, and operational challenges, and architect intelligent solutions that combine the power of LLMs, SLMs, and real-time AI assistance. Your ability to translate both technical complexity and business impact will be critical to driving successful sales cycles and long-term customer outcomes.

Responsibilities:

• Act as a consultative partner to customers,uncovering business objectives, technical environments, and operational challenges to map them to AI-driven solutions.
• Act as a consultative advisor to prospective customers, uncovering operational workflows and strategic goals to design solutions leveraging Cresta’s real-time AI capabilities, including virtual agents, agent assist, and conversation intelligence.
• Lead technical discovery sessions to understand customer systems, including contact center infrastructure, telephony and IVR architecture, and CRM/workforce management platforms.
• Qualify and translate customer requirements into robust, scalable Cresta configurations, ensuring tight alignment with business value and technical feasibility.
• Design and deliver compelling, tailored product demonstrations that highlight how Cresta’s AI-powered virtual agents, real-time coaching, and analytics can deliver measurable business outcomes.
• Own the technical design and delivery of proof-of-value (POV) engagements, including integrations, real-time coaching workflows, and virtual agent use cases.
• Run ROI workshops and build business case models that connect Cresta’s capabilities to quantifiable customer impact (e.g., cost reduction, efficiency, CSAT).
• Provide insights based on your experience with AI technologies, contact center transformation, and customer success strategies.
• Serve as a technical liaison between Sales, Product, and Engineering,providing feedback on platform capabilities, customer needs, and market trends in AI, NLP, and contact center transformation.
• Stay current on emerging technologies, including LLMs, SLMs, retrieval-augmented generation (RAG), speech recognition, and contact center AI platforms.
• Deliver persuasive, tailored product demonstrations that showcase how Cresta’s AI,built on a proprietary architecture using large and small language models,drives measurable ROI through automation, efficiency, and improved customer outcomes.

Qualifications:

• 7+ years of experience in customer-facing roles, including 1–3 years in pre-sales, solutions engineering, or consulting within the enterprise software or contact center industry.
• Deep knowledge of contact center solutions, including telephony architecture (SIP, SBCs, ACDs, IVRs) and CCaaS platforms (e.g., Genesys, NICE, Five9, Amazon Connect).
• Strong understanding of AI/ML technologies, especially large language models (LLMs), small language models (SLMs), and how they are applied in conversational AI and agent augmentation.
• Experience with real-time systems, CRM tools (e.g., Salesforce), analytics platforms, and SaaS solution architecture.
• Ability to design and communicate complex solutions clearly to both technical and business audiences.
• Consultative mindset with a proven track record of leading strategic conversations, influencing stakeholders, and tailoring solutions to business goals.
• Fast learner and self-starter who thrives in high-growth, high-collaboration environments.
• Enthusiastic about Cresta’s mission and motivated to help customers unlock value from AI.

Perks & Benefits:

We offer a comprehensive and people-first benefits package to support you at work and in life:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family
• Flexible PTO to take the time you need, when you need it
• Paid parental leave for all new parents welcoming a new child
• Retirement savings plan to help you plan for the future
• Remote work setup budget to help you create a productive home office
• Monthly wellness and communication stipend to keep you connected and balanced
• In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta:

Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. This role is variable target compensation eligible. There is potential to exceed target earnings when goals are surpassed.

Base Salary Range: $180,000–$205,000 + variable & Offers Equity

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We are seeking a Senior Solutions Architect to join our team in Paris. As a Senior Solutions Architect, you will be responsible for providing technical and business value to Databricks customers in collaboration with Account Executives.

The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule).

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.

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.

Responsibilities:

• Form successful relationships with strategic enterprise clients within the Greenfield territory,
• Operate as an expert in big data analytics to excite customers about Databricks,
• Develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform,
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications,
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions,
• Develop customer relationships and build internal partnerships with account executives and teams,
• Experience with managing strategic enterprise accounts,
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark,
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s),
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.

Mandatory requirements:

• The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule),
• Flexibility to travel (up to 30% as required for customer meetings, events and trainings),
• Business proficiency in both French and English required.

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You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion.

You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment.

You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

Responsibilities:

• Manage the technical delivery plan for each engagement.
• Structure the SOW by clearly defining the scope, steps, dependencies, success criteria, and value hypotheses.
• Translate customer commercial objectives into a sequenced roadmap that our FDEs execute.
• Supervise technical discovery: map customer workflows, identify constraints, define the MVP scope, and shape the solution architecture for custom agent deployments.
• Lead the execution and delivery of daily engineering work within Anthropic and customer teams. Ensure project progress is smooth and sequenced. Make real-time trade-offs on scope and priority to preserve the critical path.
• Ensure product scope for field missions: define the MVP, write requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve. Own the customer relationship throughout delivery. Organise executive briefings, manage communications with stakeholders regarding technical leads and supply, and represent Anthropic remote to senior commercial and technical executives in terms of technical credibility.
• Master value measurement and ROI: define impact hypotheses, establish baselines, and key performance indicators, conduct pre- and post-deployment measurements, and communicate results to executive sponsors.
• BOYD reusable solution patterns, evaluation frameworks, and technical manuals. Record best practices from various interactions and transmit signals from the field to Product and Research teams to improve our platform and models.

Navigating enterprise and regulatory complexity: security audits, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

Manage scope and change: manage evolving requirements, define expectations, negotiate contract modifications, identify risks upfront, and signal them with clear context, when necessary.

Manage delivery operations: sprint ceremonies, step reviews, and progress reports.

Visit customer sites to build relationships, unlock deliveries, and accelerate adoption (target 25-50%).

Profile:

• More than 5 years of technical leadership experience with customers. This can include technical engagement management, technical program management, or technical product management, founders/startups, technical profiles, professional services, consulting, or enterprise software.
• Have deployed AI-based agent solutions, ML, or LLM. You understand applicable models, integration approaches, and reality on the ground.
• Can hold architecture conversations with engineering stakeholders, evaluate technical trade-offs, and test technical decisions under pressure. You won't write production code, but will be responsible for leading technical direction of engagements alongside Forward Deployed Engineers.
• Have experience delivering complex, high-stakes technical projects for enterprise customers, whose results depend on close coordination and rapid decision-making, ideally in multiple activities within regulated sectors.
• Have an assertive personality: you're comfortable, credible, and able to represent Anthropic in high-stakes environments.
• Overcome ambiguous contexts and bring structure where there isn't.
• Have a builder mindset: you're here to create a function, not occupy it.

Additional assets:

• Experience in financial services, healthcare, life sciences, or pharmaceutical industries.
• Experience in a field-deployed engineering organisation or professional services and consulting firms.
• Exceptional understanding of LLM capabilities and limitations.
• Experience with regulated industries and compliance requirements.
• Experience managing delivery teams with integrated engineers on customer sites.
• Familiarity with AI agent frameworks, usage tool models, and orchestration architectures.

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Your ability to translate both technical complexity and business impact will be critical to driving successful sales cycles and long-term customer outcomes.

Responsibilities: Act as a consultative partner to customers,uncovering business objectives, technical environments, and operational challenges to map them to AI-driven solutions. Act as a consultative advisor to prospective customers, uncovering operational workflows and strategic goals to design solutions leveraging Cresta's real-time AI capabilities, including virtual agents, agent assist, and conversation intelligence. Lead technical discovery sessions to understand customer systems, including contact center infrastructure, telephony and IVR architecture, and CRM/workforce management platforms. Qualify and translate customer requirements into robust, scalable Cresta configurations, ensuring tight alignment with business value and technical feasibility. Design and deliver compelling, tailored product demonstrations that highlight how Cresta's AI-powered virtual agents, real-time coaching, and analytics can deliver measurable business outcomes. Own the technical design and delivery of proof-of-value (POV) engagements, including integrations, real-time coaching workflows, and virtual agent use cases. Run ROI workshops and build business case models that connect Cresta's capabilities to quantifiable customer impact (e.g., cost reduction, efficiency, CSAT). Provide insights based on your experience with AI technologies, contact center transformation, and customer success strategies. Serve as a technical liaison between Sales, Product, and Engineering,providing feedback on platform capabilities, customer needs, and market trends in AI, NLP, and contact center transformation. Stay current on emerging technologies, including LLMs, SLMs, retrieval-augmented generation (RAG), speech recognition, and contact center AI platforms. Deliver persuasive, tailored product demonstrations that showcase how Cresta's AI,built on a proprietary architecture using large and small language models,drives measurable ROI through automation, efficiency, and improved customer outcomes.

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This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

Responsibilities:

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.

• Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

• Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.

• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.

• Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.

• Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.

• Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

• Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.

• Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting.

• Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).

You May Be a Good Fit If You:

• Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.

• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.

• Have experience in a specialised vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).

• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.

• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making , ideally across multiple workstreams in regulated industries.

• Have executive presence , polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.

• Thrive in ambiguity and bring structure where none exists.

• Have a builder's mindset , you're here to create a function, not join one.

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: $200,000-$345,000 USD

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We're looking for someone with 3 years+ experience selling into the UK Public Sector, ideally with exposure to central government departments such as Department for Transport, Defra, or devolved governments. You should have a hunter mentality with strong energy, resilience, and drive to build pipeline and create new opportunities. You should have curiosity and creativity in tackling complex government challenges involving data, security, and digital transformation. You should have strong business and technical curiosity, with the ability to engage both senior stakeholders and technical practitioners. You should have a collaborative mindset with the ability to work effectively across distributed teams. You should have a structured and disciplined approach to sales, combined with the ability to think creatively and challenge conventional approaches. You should be motivated to succeed in a fast-moving, ambitious environment.

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Now is an exciting time to join Elastic; you'll be joining at a pivotal stage where your expertise will be instrumental in building the foundations for our future success with our strategic clients. Your role is crucial in ensuring our clients unlock the full business impacts of Elastic, driving value and fostering long-term partnerships.

We’re seeking individuals who thrive in dynamic environments, have a passion for customer excellence, delivering exceptional outcomes, and are ready to collaborate with a team of high-performing sales professionals. If you have experience working as a Value Engineer, Management Consultant, or a related customer-facing role, we would love to hear from you!

Responsibilities: Collaborate closely with account teams to identify and execute value delivery strategies for key accounts. Engage with stakeholders to identify, understand, and quantify their unique business challenges. Translate Elastic’s value proposition and technical capabilities into clear economic benefits aligned with their corporate goals. Lead business value reviews / business cases: Effectively communicate the realized value and potential economic benefits of new opportunities. Conduct thorough analysis of customer workflows and processes, identifying opportunities for optimization and increased efficiency. Create and deliver boardroom-quality, executive documents. Work collaboratively with product and engineering teams to tailor solutions to meet the specific needs of Elastic’s customers. Provide guidance on best practices and innovative approaches to maximize the value of Elastic solutions. Act as a subject matter expert on our solutions with our customers, remaining informed about industry trends and advancements. Conduct training and workshops with Elastic teammates to increase the quality of their discovery and their understanding of business value & customer excellence. Help build the future of the value engineering practice at Elastic: contribute to the development of best practices and tools for an enhanced value-based selling adoption.

Requirements: 3+ years of experience in value engineering, management consulting, solution architecture, or a related customer-facing role within the software or consulting industries. Expert knowledge and experience in change process management, search, observability, and security technologies preferred. Advanced knowledge and experience in value-based-selling methodologies. Demonstrated experience in building and briefing business cases to executives. Expertise in identifying and prioritizing use cases, implementing improvement measures and becoming a change agent for Elastic customers by establishing a value delivery model. Ability to project manage across multiple workstreams, including defining scope, expectations, timelines and delivery. Strong analytical and problem-solving skills; ability to act decisively with ambiguous guidance and circumstances. Ability to travel to meet clients is required (approximately 1x/month).

Bonus Points: New York City or Arlington, VA area and open to occasional in-office collaboration (preferred).

Compensation: The typical starting salary range for this role is $122,800-$194,400 USD. The typical starting Target Variable range for this role is $30,700-$48,500 USD. The typical starting On-Target Earnings (OTE) range for this role is $153,500-$242,900 USD.

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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.

As a Solutions Architect in the UAE Pre-Sales team, 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 customised solutions to help our customers achieve their goals and guide their businesses forward.

Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Create impactful and successful relationships with customer accounts in the United Arab Emirates, providing technical and business value to Databricks customers in collaboration with the extended team.

• Become the trusted advisor of your customer on the Data and AI landscape by successfully driving and delivering the adoption of the Databricks Data Intelligence Platform.

• Enabling Partners and support internal events in the MEA region.

• Scale best practices in your field by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.

• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Experienced in customer interactions in a technical pre-sales capacity and adept in managing complex sales lifecycles.

• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth.

• Ability to provide technical solutions for specialised customer needs, navigate a competitive landscape and effectively develop relationships to achieve long-term customer success.

• Hands-on expertise with complex Big Data architecture design for public cloud platform(s) solutions, focusing on use cases in Data Warehousing and Data Engineering architecture and implementation.

Data Science and Machine Learning skills will be advantageous.

• Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark™.

• Experience and skills on the Databricks platform will be highly advantageous for the role!

• Excellent communication skills in English required as a minimum. Fluency in Arabic will be highly preferable for the position.

Key Notes:

• Location for the role will be in Paris (i.e. within a commutable distance for a hybrid schedule).

• You will need to be flexible and willing to travel to the United Arab Emirates for customer visits on a regular basis (i.e. up to ~2 weeks per month).

• We are seeking a candidate that will be interested in a future relocation to the region (Dubai) when an office is opened.

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You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward.

Some of the key responsibilities of this role include:

• Forming successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gaining excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contributing to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Becoming a Big Data Analytics advisor on aspects of architecture and design.
• Supporting your customers by authoring reference architectures, how-tos, and demo applications.

We're looking for someone with a strong aptitude and familiarity working with clients, creating a narrative, aligning the agenda based on business priorities, and achieving tangible outcomes. Experience in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth, is also essential.

Some of the key requirements for this role include:

• Strong knowledge of Big Data Analytics and experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms).
• Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s).
• Experience diving deeper into solution architecture and Data Engineering.
• Coding expertise in a core programming language (i.e., Python, Java, Scala).
• A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role.

This will be an office-based contract (Amsterdam), with a hybrid schedule. An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.

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You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.

Your responsibilities will include:

• Forming successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gaining excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contributing to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Becoming a Big Data Analytics advisor on aspects of architecture and design.
• Supporting your customers by authoring reference architectures, how-tos, and demo applications.
• Developing both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

We look for individuals who are familiar with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. You should be able to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.

The ideal candidate will have knowledge of a core programming language such as Python, and be knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform. Experience diving deeper into solution architecture and Data Engineering is also desirable.

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Your key responsibilities will include:

• Technical Leadership: Guide customers through competitive landscapes, best practices, and implementation strategies.
• Team Leadership & Mentorship: Lead, build, and mentor a high-performing team of solution architects.
• Customer Engagement & Strategy: Partner closely with sales teams to develop account strategies and align on plans that help our customers to achieve their business goals.

To be successful in this role, you will need to have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations. You will also need to have 2+ years of experience leading technical pre-sales teams with a demonstrated ability to hire, develop, and manage technical teams.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you're passionate about data and AI and want to join a dynamic team, please apply!

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As a Delivery Solutions Architect, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression

What we look for:

• 7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Local Pay Range $180,000-$247,500 USD

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You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

XML job scraping automation by YubHub

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organisations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from 'win' to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimisation)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000-$247,500 USD

XML job scraping automation by YubHub

To be successful in this role, you will need to have 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI. You will need to have programming experience in Python, SQL, or Scala. You will need to have experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role. You will need to have understanding of solution architecture related distributed data systems. You will need to have understanding of how to attribute business value and outcomes to specific project deliverables. You will need to have technical program or project management including account, stakeholder, and resource management accountability. You will need to have experience resolving complex and important escalation with senior customer executives. You will need to have experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects. You will need to have a track record of overachievement against quota, goals, or similar objective targets. You will need to have a Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.

XML job scraping automation by YubHub

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. As a DSA, you will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Director in Japan.

The impact you will have:

• Engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers.
• Lead the Post-Technical Win technical account strategy and execution plan for the majority of Databricks Use Cases within our most strategic accounts.
• Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.
• You will be the first contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organisations.
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise.
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals.
• Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs.
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimisation
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM.

What we look for:

• 8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with our customers.
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• A understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets

XML job scraping automation by YubHub

As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in Digital Native customers.

You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon.

This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation.

You will report directly to a DSA Manager within the Field Engineering organization.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers

• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts

• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks

• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organisations

• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise

• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals

• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs

• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from 'win' to production

• Enablement / user growth plan

• Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)

• Organic needs for current investment (e.g. cloud cost control, tuning & optimisation)

• Executive and operational governance

• Provide internal and external updates

• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers

• Programming experience in Python, SQL or Scala

• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role

• Understanding of solution architecture related distributed data systems

• Understanding of how to attribute business value and outcomes to specific project deliverables

• Technical program, or project management including account, stakeholder and resource management accountability

• Experience resolving complex and important escalation with senior customer executives

• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects

• Track record of overachievement against quota, Goals or similar objective targets

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience

Can travel up to 30% when needed

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000-$247,500 USD

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Key responsibilities include:

• Engaging with solutions architects to understand full use case demand plans for prioritized customers
• Leading post-technical win technical account strategy and execution plans for Databricks use cases within strategic accounts
• Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders
• Creating, owning, and executing a point-of-view on how key use cases can be accelerated into production

Requirements include:

• U.S. citizenship
• 7+ years of experience in technical project/program delivery within the domain of data and AI
• Programming experience in Python, SQL, or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related to distributed data systems

Pay range transparency: $180,000-$247,500 USD

XML job scraping automation by YubHub

Key responsibilities include:

• Engaging with Solutions Architects to understand full use case demand plans for prioritized customers
• Leading post-technical win technical account strategy and execution plans for Databricks use cases within our most strategic Public Sector accounts
• Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders
• Creating, owning, and executing a point-of-view as to how key use cases can be accelerated into production
• Developing an execution plan that covers all activities of all customer-facing technical roles and teams

Requirements include:

• 7+ years of experience in technical project or program delivery within the domain of Data and AI
• Programming experience in Python, SQL, or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related to distributed data systems
• Ability to attribute business value and outcomes to specific project deliverables

Salary range: $180,000-$247,500 USD

XML job scraping automation by YubHub

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organisations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from 'win' to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimisation)
• Executive and operational governance
• Provide internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

XML job scraping automation by YubHub

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

Main use cases moving from ‘win’ to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

XML job scraping automation by YubHub

This is a hybrid technical and commercial role that requires you to drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. You will also be responsible for becoming the post-sale technical lead across all Databricks products and using your skills and technical credibility to engage and communicate at all levels with an organization.

Key responsibilities include:

• Engaging with Solutions Architects to understand the full use case demand plan for prioritized customers
• Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Being the first contact for any technical issues or questions related to production/go live status of agreed-upon use cases within an account, oftentimes servicing multiple use cases within the largest and most complex organizations
• Leveraging both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Creating, owning, and executing a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
• Developing an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from 'win' to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
• Organic needs for current investment (e.g., cloud cost control, tuning & optimization)
• Executive and operational governance
• Providing internal and external updates
• KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression to your Technical GM

Key qualifications include:

• 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL, or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program or project management, including account, stakeholder, and resource management accountability
• Experience resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

XML job scraping automation by YubHub

You will help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers.

Key responsibilities include:

• Designing secure, scalable architecture
• Aligning people, processes, and technology
• Establishing trusted advisor relationships
• Leveraging the broader ecosystem of Databricks experts

This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer's top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, etc.

In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving onboarding plans.

While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing, or Data Science are essential.

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We are seeking a highly skilled Delivery Solution Architect to join our team. As a Delivery Solution Architect, you will be responsible for delivering technical solutions to customers and collaborating with sales and field engineering teams to accelerate customer adoption of our platform.

Key Responsibilities:

• Collaborate with sales and field engineering teams to deliver technical solutions to customers.
• Provide technical guidance and support to customers to ensure they get the maximum value and ROI from our platform.
• Work closely with customers to understand their business requirements and develop tailored solutions to meet their needs.
• Develop and maintain relationships with key stakeholders, including customers, partners, and internal teams.
• Collaborate with cross-functional teams to identify and prioritize customer needs and develop solutions to address them.

Requirements:

• 8+ years of experience in delivering technical projects or programs in the data and AI space.
• Strong understanding of distributed data systems and solution architecture.
• Experience working with customers to deliver technical solutions and providing technical guidance and support.
• Strong communication and interpersonal skills, with the ability to work effectively with customers, partners, and internal teams.
• Experience working in a fast-paced environment and prioritizing multiple tasks and deadlines.

Benefits:

• Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
• Opportunity to work with a leading-edge technology company and contribute to the development of innovative solutions.
• Collaborative and dynamic work environment with a team of experienced professionals.
• Professional development opportunities, including training and education programs.

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.

XML job scraping automation by YubHub

This is a hybrid technical and commercial role. You will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. You will also be the post-sale technical lead across all Databricks products, requiring you to use your skills and technical credibility to engage and communicate at all levels with an organization.

Key responsibilities include:

• Engaging with Solutions Architects to understand the full use case demand plan for prioritized customers
• Leading the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Being the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Being the first contact for any technical issues or questions related to production/go live status of agreed-upon use cases within an account, often services multiple use cases within the largest and most complex organizations
• Leveraging both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Creating, owning, and executing a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigating Databricks Product and Engineering teams for new product innovations, private previews, and upgrade needs
• Developing an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

Main use cases moving from 'win' to production Enablement/user growth plan Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision) Organic needs for current investment (e.g., cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption, and use case progression to your Technical GM

Requirements include:

• 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL, or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program or project management, including account, stakeholder, and resource management accountability
• Experience resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

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In this high-impact role, you'll lead the architecture and delivery of enterprise implementations, translating business workflows into scalable, AI-powered systems that accelerate time-to-value and drive long-term adoption. You'll work closely with Engagement Managers, Account teams, and Product to shape the future of how organisations leverage Airtable AI to transform their operations.

Responsibilities

• Architect and deliver paid SOW enterprise Airtable implementations for strategic customers
• Lead scoping and design of Airtable AI solutions during professional services engagements
• Develop repeatable AI solution patterns, including AI workflows, automations, and structured data pipelines
• Establish best practices for data modelling, governance, and AI-enabled workflow design
• Partner with Engagement Managers to scope services engagements and define implementation plans
• Produce solution architecture diagrams, data models, and workflow documentation for enterprise customers
• Drive adoption of Airtable AI capabilities across multiple enterprise implementations
• Provide technical guidance and troubleshoot architectural challenges during implementations
• Collaborate with Product and internal teams to relay AI feature feedback and influence the roadmap

Requirements

• 5+ years of solution architecture, solution engineering, or technical consulting experience for enterprise SaaS platforms
• Strong understanding of data modelling, database design, and governance
• Experience designing workflow automation and operational systems
• Familiarity with AI-enabled SaaS capabilities (LLMs, AI automation, AI-assisted workflows, or AI copilots)
• Ability to translate complex business processes into scalable technical architectures
• Strong stakeholder communication skills across technical and executive audiences
• Experience scoping and delivering enterprise implementations
• Proficiency in process mapping and architecture documentation tools (e.g., Lucidchart, Visio)
• Experience designing AI-driven workflow solutions (LLMs, prompt design, AI agents, AI automation)
• Experience implementing platforms like Airtable, Notion, ServiceNow, Salesforce, Workato, or similar workflow/data systems
• Familiarity with APIs, integrations, and automation frameworks
• Experience with enterprise data governance and security models
• Experience in Professional Services or consulting organisations
• Technical familiarity with scripting or low-code/no-code platforms
• Experience developing repeatable architecture patterns or implementation frameworks

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You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities:

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.

Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

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Your responsibilities will include:

• Deeply understanding clients' business processes, requirements, and pain points; advising on best practices for integrating Airtable into their workflow.
• Advising customers on the creation and management of their data governance models from license administration through long-term solution maintenance.
• Developing solution architecture designs, implementation plans, and project timelines that align with clients' objectives and requirements.
• Providing technical guidance and support to clients and internal teams throughout the implementation process, addressing concerns or issues that arise.
• Managing project plans when delivering single consultant engagements ensuring on time delivery, risk mitigation, and regular project communications.
• Partnering with Airtable Engagement Managers to validate scope for professional services engagements.
• Partnering with other services and partner team members on larger engagements.
• Partnering with Product and Engineering to provide feedback from customer engagements on critical features and platform improvements.
• Mentoring Solution Architects and Delivery Consultants, sharing solution design frameworks and best practices.

To be successful in this role, you will need to have:

• 5+ years of solution engineering, consulting or implementation experience supporting Enterprise SaaS platforms.
• 3-4 years of experience in a professional services or consulting role.
• Experienced in solution architecture, with a background in Airtable build (highly preferred), delivery, and project management is a must.
• At least Experimenter-level AI fluency, you’ve built or meaningfully automated a task using AI (e.g., via custom scripts, GPT workflows, or Airtable automations enhanced by LLMs).
• Well-versed in database design and governance best practices and familiar with the Enterprise SaaS technology landscape.
• Ability to understand and customise messaging and consulting across verticals, use cases and geographies.
• Excellent communication skills: you can modulate your style to engage stakeholders of varying seniority and technical backgrounds, and you deliver compelling presentations and product demonstrations.
• Highly collaborative team player who is comfortable navigating ambiguity and thrives collaborating with a broad range of cross-functional teams.
• Ability to adapt to new technologies and learn quickly; previous experience with Airtable is required.
• Customer focused mindset with a track record of driving adoption, satisfaction, and business outcomes.

In addition to the above, you will also have access to a range of benefits, including:

• In addition to NHS coverage, you will have access to supplemental insurance 100% covered (and your dependents covered at 85%)
• Competitive pension scheme, life insurance, paid leave and sick leave
• Complimentary mental health support via Modern Health
• Family planning support via Carrot (fertility, adoption, and surrogacy)
• Flexible and generous time off and sick time benefits
• Transportation & Commuter Benefits
• Monthly “Lifestyle Wallet” to use for benefits like personal fitness (e.g., gym memberships, fitness equipment, etc.) to pet care to nutrition coaching, and more.
• Supplemental reimbursement for Gender Affirmation procedures and services
• Legal services - access to online tools to legal forms

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This is not a status-meeting role. This is a technical, hands-on TPM who understands systems well enough to unblock work directly , whether that's in Linear, Salesforce, data workflows, or coordination across Product, Engineering, Data, and Revenue.

In this role, you will report to the Head of Platforms & Infrastructure and play a critical role in protecting execution focus so specialized technical roles can operate at full effectiveness.

Some things you'll do on the job:

• Own delivery sequencing and execution momentum across Revenue Technology initiatives
• Translate ambiguous goals into clear scopes, milestones, and dependency maps
• Actively manage work in Linear and related tools, ensuring priorities are visible and intentional
• Identify when work is blocked, drifting, over-scoped, or colliding , and intervene early
• Partner closely with Solution Architecture, Data Strategy, Engineering, and Systems & Workflow Experience
• Perform light hands-on technical work (configuration, stopgaps, tooling hygiene) to unblock progress
• Absorb coordination load across Product, Engineering, Data Engineering, Data Science, Revenue, and vendors
• Drive planning cycles anchored to Cosmic Objectives, not ad-hoc urgency
• Make tradeoffs explicit and documented so teams can move without re-litigating decisions

You should have:

• 5+ years experience as a Technical Program Manager, Technical PM, or equivalent role in a SaaS or fintech environment
• Demonstrated ability to drive delivery across multi-team, cross-functional initiatives (Product, Engineering, Data, Revenue, vendors)
• Strong technical fluency , able to reason about systems, data flows, integrations, and platform constraints
• Hands-on experience managing work in tools like Linear, Jira, or similar, with a bias toward clarity and momentum
• Proven ability to surface dependencies, sequence work, and intervene when execution is blocked or drifting
• Excellent written and verbal communication skills, especially in ambiguous environments
• Comfort performing light hands-on technical work (tool configuration, workflow setup, stopgap solutions)

Preferred Qualifications:

• Experience supporting GTM, revenue, or customer lifecycle platforms
• Familiarity with Salesforce, data platforms, or revenue tooling ecosystems
• Experience operating within Agile / Kanban systems , with judgment about when to adapt them
• Background working closely with architecture or platform engineering teams

The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $131,000 - 148,000
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $118,000 - $133,200
• Canadian employees (any location): CAD $124,300 - $139,900

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.

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This role blends deep technical expertise with strong communication and collaboration skills. You'll become an Engine expert, understanding its architecture, technology, and functionality, allowing you to effectively communicate its capabilities and value to both technical and non-technical audiences.

Key responsibilities include:

• Leading on technical designs during the Engine implementation phase, building relationships with a variety of stakeholders within clients and SI partners such as their Engineering leads and Service Owners.

• Working closely with our clients and SI partners on the technical detail of implementing Engine, providing solutions to identified requirements and working with our Product and engineering teams to fulfill them.

• Helping clients maximise Engine's current and future capabilities to solve their requirements and meticulously documenting scope and roadmap decisions to guide subsequent delivery waves, bringing in expertise from our Product Owners and engineering teams where required.

• Taking ownership of the technical aspects of client deliveries, collaborating closely with our SI partners to overcome challenges and achieve seamless integrations.

• Providing expert guidance to client engineering teams, using documentation, API specifications, and sequence diagrams to foster a deep understanding of Engine's architecture and functionalities.

• Collaborating closely with our Client Success team to troubleshoot technical issues, translate client needs into new technical requirements, and architect innovative solutions that enhance the Engine platform.

Requirements:

• Experience of end-to-end software engineering / solution architecture across the software delivery lifecycle.

• Experience with software service design and integration, such as RESTful APIs, OpenAPI specification and sequence diagrams.

• Experience of cloud infrastructure and large-scale cloud applications.

• Experience working in a client-facing role and building relationships with stakeholders.

• Strong interpersonal communication and collaboration skills.

Nice to Have:

• Experience relating to retail or business banking, core banking, card processing or payments.

• Experience of delivery and implementation of core banking or large-scale digital transformation programmes, application migration and solution integration.

• Commercial acumen with experience of building business cases.

• Experience in a SaaS organisation in a Client Solutions or Client Engineering role.

• Knowledge of financial regulations around the world.

About you:

• You have a focus on delivery and getting things done for a client.

• You have the ability to work well with people from a variety of levels, roles and technical backgrounds.

• You're able to communicate clearly about technical subjects.

• You're comfortable working in a varied role, collaboratively in a team, with a flat structure.

• You're comfortable travelling nationally to our London office (initial upskilling will require a period of time working with our Engineers & Product team in London).

• You're comfortable travelling internationally.

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This role blends deep technical expertise with strong communication and collaboration skills. You'll become an Engine expert, understanding its architecture, technology, and functionality, allowing you to effectively communicate its capabilities and value to both technical and non-technical audiences.

You'll lead on technical designs during the Engine implementation phase, building relationships with a variety of stakeholders within clients and SI partners such as their Engineering leads and Service Owners.

You will work closely with our clients and SI partners on the technical detail of implementing Engine, providing solutions to identified requirements and working with our Product and engineering teams to fulfill them.

Your contributions will also extend to shaping Engine's product roadmap and supporting existing clients with additional capabilities to meet their strategic aims.

You'll help them maximise Engine's current and future capabilities to solve their requirements and meticulously document scope and roadmap decisions to guide subsequent delivery waves, bringing in expertise from our Product Owners and engineering teams where required.

You will also be a technical champion for our existing clients, ensuring their ongoing success.

This includes taking ownership of the technical aspects of client deliveries, collaborating closely with our SI partners to overcome challenges and achieve seamless integrations.

You'll provide expert guidance to client engineering teams, using documentation, API specifications, and sequence diagrams to foster a deep understanding of Engine's architecture and functionalities.

Additionally, you will collaborate closely with our Client Success team to troubleshoot technical issues, translate client needs into new technical requirements, and architect innovative solutions that enhance the Engine platform.

The ideal candidate will have experience of end-to-end software engineering / solution architecture across the software delivery lifecycle, experience with software service design and integration, and experience working in a client-facing role and building relationships with stakeholders.

The role requires strong interpersonal communication and collaboration skills, as well as the ability to work well with people from a variety of levels, roles and technical backgrounds.

You'll be comfortable working in a varied role, collaboratively in a team, with a flat structure, and comfortable traveling nationally to our London office (initial upskilling will require a period of time working with our Engineers & Product team in London).

You'll also be comfortable traveling internationally.

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This role blends deep technical expertise with strong communication and collaboration skills. You'll become an Engine expert, understanding its architecture, technology, and functionality, allowing you to effectively communicate its capabilities and value to both technical and non-technical audiences.

Responsibilities:

• Lead on technical designs during the Engine implementation phase, building relationships with a variety of stakeholders within clients and SI partners such as their Engineering leads and Service Owners.

• Work closely with our clients and SI partners on the technical detail of implementing Engine, providing solutions to identified requirements and working with our Product and engineering teams to fulfil them.

• Shape Engine's product roadmap and support existing clients with additional capabilities to meet their strategic aims.

• Help clients maximise Engine's current and future capabilities to solve their requirements and meticulously document scope and roadmap decisions to guide subsequent delivery waves, bringing in expertise from our Product Owners and engineering teams where required.

Requirements:

• Experience of end-to-end software engineering / solution architecture across the software delivery lifecycle.

• Experience with software service design and integration, such as RESTful APIs, OpenAPI specification and sequence diagrams.

• Experience of cloud infrastructure and large-scale cloud applications.

• Experience working in a client-facing role and building relationships with stakeholders.

• Strong interpersonal communication and collaboration skills.

Nice to Have:

• Experience relating to retail or business banking, core banking, card processing or payments.

• Experience of delivery and implementation of core banking or large-scale digital transformation programmes, application migration and solution integration.

• Commercial acumen with experience of building business cases.

• Experience in a SaaS organisation in a Client Solutions or Client Engineering role.

• Knowledge of financial regulations around the world.

About you:

• You have a focus on delivery and getting things done for a client.

• You have the ability to work well with people from a variety of levels, roles and technical backgrounds.

• You’re able to communicate clearly about technical subjects.

• You’re comfortable working in a varied role, collaboratively in a team, with a flat structure.

• You’re comfortable travelling nationally to our London office (initial upskilling will require a period of time working with our Engineers & Product team in London).

• You’re comfortable travelling internationally.

Interview Process:

Interviewing is a two-way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you!

Our interviews are conversational and we want to get the best from you, so come with questions and be curious.

In general, you can expect the below, following a chat with one of our Talent Team:

• First Interview (45 minutes)

• Phone/Video call with existing Engine team members.

• Second Architecture Interview, including small presentation/system design (90 minutes)

• Final Interview (30 minutes)

Benefits:

• 25 days holiday.

• You’ll also get your birthday on us.

• The option to opt-out of public holidays.

• The option to buy/sell up to 5 days of annual leave a year.

• 16 hours paid volunteering time a year.

• Enhanced Pat & Mat leave.

• Perkbox.

You may be put off applying for a role because you don't tick every box. Forget that!

While we can’t accommodate every flexible working request, we're always open to discussion.

So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway.

We’re on a mission to radically reshape banking – and that starts with our brilliant team.

Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.

Engine by Starling is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace.

Individuals seeking employment at Engine by Starling are considered without regard to race, colour, religion, sex, national origin, age, disability, gender identity, sexual orientation, or any other protected characteristic.

We are committed to creating an inclusive and respectful work environment that reflects the diversity of our customers and communities.

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This role blends deep technical expertise with strong communication and collaboration skills. You'll become an Engine expert, understanding its architecture, technology, and functionality, allowing you to effectively communicate its capabilities and value to both technical and non-technical audiences.

You’ll lead on technical designs during the Engine implementation phase, building relationships with a variety of stakeholders within clients and SI partners such as their Engineering leads and Service Owners. You will work closely with our clients and SI partners on the technical detail of implementing Engine, providing solutions to identified requirements and working with our Product and engineering teams to fulfil them.

Your contributions will also extend to shaping Engine's product roadmap and supporting existing clients with additional capabilities to meet their strategic aims. You’ll help them maximise Engine’s current and future capabilities to solve their requirements and meticulously document scope and roadmap decisions to guide subsequent delivery waves, bringing in expertise from our Product Owners and engineering teams where required.

You will also be a technical champion for our existing clients, ensuring their ongoing success. This includes taking ownership of the technical aspects of client deliveries, collaborating closely with our SI partners to overcome challenges and achieve seamless integrations. You'll provide expert guidance to client engineering teams, using documentation, API specifications, and sequence diagrams to foster a deep understanding of Engine's architecture and functionalities.

Additionally, you will collaborate closely with our Client Success team to troubleshoot technical issues, translate client needs into new technical requirements, and architect innovative solutions that enhance the Engine platform.

Must Have:

• Experience of end-to-end software engineering / solution architecture across the software delivery lifecycle
• Experience with software service design and integration, such as RESTful APIs, OpenAPI specification and sequence diagrams
• Experience of cloud infrastructure and large-scale cloud applications
• Experience working in a client-facing role and building relationships with stakeholders
• Strong interpersonal communication and collaboration skills.

Nice to Have:

• Experience relating to retail or business banking, core banking, card processing or payments.
• Experience of delivery and implementation of core banking or large-scale digital transformation programmes, application migration and solution integration
• Commercial acumen with experience of building business cases
• Experience in a SaaS organisation in a Client Solutions or Client Engineering role
• Knowledge of financial regulations around the world

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You will be involved in both the sales and delivery phases of a project as well as ongoing client success, collaborating with teams across Engine in Technology, Delivery, Product, Client Success and Business Development.

The role requires travel around North America, and occasional further travel.

This role blends deep technical expertise with strong communication and collaboration skills. You'll become an Engine expert, understanding its architecture, technology, and functionality, allowing you to effectively communicate its capabilities and value to both technical and non-technical audiences.

You'll lead on technical designs during the Engine implementation phase, building relationships with a variety of stakeholders within clients and SI partners such as their Engineering leads and Service Owners.

You will work closely with our clients and SI partners on the technical detail of implementing Engine, providing solutions to identified requirements and working with our Product and engineering teams to fulfil them.

Your contributions will also extend to shaping Engine's product roadmap and supporting existing clients with additional capabilities to meet their strategic aims.

You’ll help them maximise Engine’s current and future capabilities to solve their requirements and meticulously document scope and roadmap decisions to guide subsequent delivery waves, bringing in expertise from our Product Owners and engineering teams where required.

You will also be a technical champion for our existing clients, ensuring their ongoing success.

This includes taking ownership of the technical aspects of client deliveries, collaborating closely with our SI partners to overcome challenges and achieve seamless integrations.

You'll provide expert guidance to client engineering teams, using documentation, API specifications, and sequence diagrams to foster a deep understanding of Engine's architecture and functionalities.

Additionally, you will collaborate closely with our Client Success team to troubleshoot technical issues, translate client needs into new technical requirements, and architect innovative solutions that enhance the Engine platform.

Must have experience of end-to-end software engineering / solution architecture across the software delivery lifecycle, experience with software service design and integration, such as RESTful APIs, OpenAPI specification and sequence diagrams, experience of cloud infrastructure and large-scale cloud applications, experience working in a client-facing role and building relationships with stakeholders, and strong interpersonal communication and collaboration skills.

Nice to have experience relating to retail or business banking, core banking, card processing or payments, experience of delivery and implementation of core banking or large-scale digital transformation programmes, application migration and solution integration, commercial acumen with experience of building business cases, experience in a SaaS organisation in a Client Solutions or Client Engineering role, and knowledge of financial regulations around the world.

About you, you have a focus on delivery and getting things done for a client, you have the ability to work well with people from a variety of levels, roles and technical backgrounds, you’re able to communicate clearly about technical subjects, you’re comfortable working in a varied role, collaboratively in a team, with a flat structure, you’re comfortable travelling nationally to our London office (initial upskilling will require a period of time working with our Engineers & Product team in London), and you’re comfortable travelling internationally.

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Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up.

This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success.

We are looking for future leaders to come and join our team, to build client relationships, and work with them to understand their needs and how we can solve them with Engine’s technology.

Responsibilities:

• Build strong relationships at all levels of the client organisation, through pre-sales to implementation
• Understand client vision, challenges and priorities, applying your knowledge of the Engine product
• Work closely with our Product and solution architecture team to iterate the US product roadmap, advocating for the needs and expectations of our US based clients
• Be responsible for the delivery of an area of the solution with a client, representing the client’s needs and priorities in internal decision making and planning
• Coordinate solution delivery with Engineering in line with programme timelines
• Support the programme transition from delivery into Run, sharing your knowledge of the client and setting up the Run team for success

Requirements:

• You have worked in client facing roles, in a consulting role, or at a technology company
• You have experience running workshops or demoing technology with clients
• You have some experience in financial services and technology delivery
• You have experience delivering complex programmes
• You can rapidly understand client problems and present solutions in a structured and informative manner
• You take ownership and know when to seek external support for risks and issues you identify

Benefits:

• Medical, Dental, and Vision insurance plan options
• 401(k) with company match of 100% of the first 4%
• Company-paid Long-Term Disability, and Life and AD&D insurance
• Optional ancillary benefits such as Short-term Disability, Accident Insurance, Legal & ID Protection, and more
• 20 days annual vacation PTO and 11 Paid Holidays

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As a Solutions Architect, you will engage directly with developers, researchers, and data scientists with some of NVIDIA’s most strategic technology customers as well as work directly with business and engineering teams on product strategy.

Key Responsibilities:

• Help cloud customers craft, deploy, and maintain scalable, GPU-accelerated inference pipelines on cloud ML services and Kubernetes for large language models (LLMs) and generative AI workloads.
• Enhance performance tuning using TensorRT/TensorRT-LLM, vLLM, Dynamo, and Triton Inference Server to improve GPU utilization and model efficiency.
• Collaborate with multi-functional teams (engineering, product) and offer technical mentorship to cloud customers implementing AI inference at scale.
• Build custom PoCs for solution that address customer’s critical business needs applying NVIDIA hardware and software technology
• Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and solutions for ML/DL and other software solutions
• Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
• Conduct regular technical customer meetings for project/product roadmap, feature discussions, and intro to new technologies. Establish close technical ties to the customer to facilitate rapid resolution of customer issues

Requirements:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience.
• 3+ Years in Solutions Architecture with a proven track record of moving AI inference from POC to production in cloud computing environments including AWS, GCP, or Azure
• 3+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow
• Excellent knowledge of the theory and practice of LLM and DL inference
• Strong fundamentals in programming, optimizations, and software design, especially in Python
• Experience with containerization and orchestration technologies like Docker and Kubernetes, monitoring, and observability solutions for AI deployments
• Knowledge of Inference technologies - NVIDIA NIM, TensorRT-LLM, Dynamo, Triton Inference Server, vLLM, etc
• Proficiency in problem-solving and debugging skills in GPU environments
• Excellent presentation, communication and collaboration skills

Nice to Have:

• AWS, GCP or Azure Professional Solution Architect Certification.
• Experience optimizing and deploying large MoE LLMs at scale
• Active contributions to open-source AI inference projects (e.g., vLLM, TensorRT-LLM Dynamo, SGLang, Triton or similar)
• Experience with Multi-GPU Multi-node Inference technologies like Tensor Parallelism/Expert Parallelism, Disaggregated Serving, LWS, MPI, EFA/Infiniband, NVLink/PCIe, etc
• Experience in developing and integrating monitoring and alerting solutions using Prometheus, Grafana, and NVIDIA DCGM and GPU performance Analysis and tools like NVIDIA Nsight Systems

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What we're all about.

Our DATA values—Determination, Ambition, Teamwork, Accountability—aren't just operating principles, they're our competitive advantage. We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier.

As VP, Partner Engineering, you will lead the technical vision, execution, and team required to scale partner-built and partner-delivered solutions across the world's most strategic technology and consulting landscapes.

Make Every Decision Count with Context

The opportunity.

Reporting to the SVP Global Alliances, the VP, Partner Engineering is the executive accountable for setting the Partner Engineering strategy to transform our partner ecosystem into a best-in-class technical delivery engine that expands consumption, accelerates CoSell and Channel revenue, and drives production deployments with repeatability and governance discipline.

This role will include:

• Developing, executing and leading the Partner Engineering strategy to deliver non-linear revenue growth via the Ecosystem
• Technical leadership of partner architecture
• Management of Partner Solution Architects as Player Coach i.e. Lead by example
• Execution of joint solution engineering with hyperscalers, industry ISV’s & GSIs
• Executive engagement and business impact through ecosystem consumption & marketplace ARR

What you'll be doing.

• Set the global Partner Engineering strategy and architecture standards aligned to cloud marketplaces, consumption incentives, and AI/data collaborations.
• Lead co-innovation blueprints and quick starts integrating our platform with the likes of Microsoft Azure, GCP, AWS, Databricks, Guidewire style decision systems, and GSI solution frameworks.
• Personally sponsor and govern the reference architecture, connector strategy, AI/data interop strategy, and workload optimization patterns for partner solutions.
• Create enterprise-grade integration frameworks and enforce architectural guardrails that accelerate deployment while minimizing partner/customer delivery risk.
• Partner with Product and R&D for cross function collaboration and alignment around roadmap and innovation
• Lead, mentor, and scale a global team of Partner Solution Architects focused on:

• Joint solution architecture
• Partner-led PoCs/PoVs
• Demo and sandbox platforms
• Deployment acceleration
• Technical certifications and readiness

• Build an elite Partner Architecture Centre of Excellence that rivals top ecosystem engineering orgs in the industry.
• Define clear role expectations, capability uplift plans, and partner field alignment models for PSAs.
• Establish performance-driven culture anchored in partner adoption velocity, PoV win rate, demo adoption, deployment acceleration, and marketplace ARR.
• Partner with Field Alliances, Field Engineering and RVP’s to enable and ensure Ecosystem attribution
• Own hyperscaler and ISV technical partnership co-innovation roadmaps, ensuring:

• Marketplace-ready joint solutions
• Consumption and integration patterns tied to incentives
• Field delivery kits for PSA + partner sellers
• Hardened reference designs for repeatable pursuits

• Drive GSI partnerships into factory-style delivery motions, launching industry solutions and field-ready plays with global systems integrators.
• Govern multi-party architecture risk, security, deployment patterns, rapid time-to-value, and executive sponsor checkpoints.
• Be the Evangelist for Ecosystem opportunities and own the hypothesis qualification for embedded or OEM, co-developed offerings and new pursuits
• Working closely with Product, define our ecosystem’s technical differentiation narrative—anchored in decision context, AI/data intelligence, workflows, and enterprise integration depth—against point solutions and platform incumbents.
• Ensure PSAs and partners can articulate why our platform wins architecturally, commercially, and operationally.

Requirements

What you'll bring.

• Proven executive leadership building partner engineering teams within enterprise software ecosystems
• Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures.
• Experience launching production-hardened joint solutions with hyperscalers and GSIs with measurable revenue and deployment outcomes.
• Ability to translate platform capability into partner-owned architectures that scale across customer estates.
• Practitioner’s mindset for governance of PoVs, partner certifications, deployment velocity, risk mitigation, and technical adoption KPIs
• Extensive experience in senior partner engineering, sales engineering or ecosystem technical leadership within large-scale enterprise software or SaaS companies.
• Excellent experience of managing architect/engineering-focused partner teams, PSAs, and global technical enablement functions.
• Demonstrated success driving multi-cloud partner consumption ARR, joint solution launches, and co-sell acceleration.
• Executive communication credibility with partner CTO/CIO/VP engineering stakeholders and hyperscaler/GSI technical leaders.
• Comfort operating across legal, sales, product, security, presales, and partner delivery functions.
• Willingness to travel globally (>40%).

Benefits

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We know that just having an excellent glass door rating isn’t enough, so we’ve put together a competitive package as a way of saying thank you for all your hard work and dedication.

We offer:

Competitive salary Company bonus Flexible working hours in a hybrid workplace & free access to global WeWork locations & events Pension Scheme with a company contribution of 6% (if you contribute 3%) 25 days annual leave (with the option to buy up to 5 days) + birthday off! Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave Health & Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts Team's Social Budget & Company-wide Summer & Winter Parties Tech & Cycle-to-Work Schemes Volunteer Day off Dog-friendly Offices

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Our Energy Practice supports some of the largest global firms and most recognizable brands in solving their most significant challenges in a world of constant change. With expertise spanning strategy, trading transformation, supply chain optimization, digital innovation, and mobility solutions, we empower clients to achieve sustainable growth and operational excellence.

We are seeking a Principal to lead large-scale ETRM transformation programs. The ideal candidate will provide strategic direction, manage delivery teams, and ensure alignment with client objectives across trading, risk, and regulatory domains.

Requirements

• Have deep expertise in ETRM systems (Endur etc..) and energy trading lifecycle.
• Can lead multi-disciplinary teams and manage complex project deliveries.
• Have experience in client engagement, solution architecture, and delivery governance.
• Can drive innovation and continuous improvement across trading platforms.
• Possess excellent leadership and mentoring capabilities.

Preferred Qualifications

• Bachelor’s or Master’s degree in Energy, Engineering, Economics, Finance, or a related field.
• Certifications in ETRM systems, Power Trading, or Energy Markets are a plus.
• Prior consulting experience with a focus on Energy/power markets.

Benefits

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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Our Energy Practice supports some of the largest global firms and most recognizable brands in solving their most significant challenges in a world of constant change. With expertise spanning strategy, trading transformation, supply chain optimization, digital innovation, and mobility solutions, we empower clients to achieve sustainable growth and operational excellence.

We are seeking a Principal to lead large-scale ETRM transformation programs. The ideal candidate will provide strategic direction, manage delivery teams, and ensure alignment with client objectives across trading, risk, and regulatory domains.

Requirements

• Have deep expertise in ETRM systems (Endur etc..) and energy trading lifecycle.
• Can lead multi-disciplinary teams and manage complex project deliveries.
• Have experience in client engagement, solution architecture, and delivery governance.
• Can drive innovation and continuous improvement across trading platforms.
• Possess excellent leadership and mentoring capabilities.

Preferred Qualifications

• Bachelor’s or Master’s degree in Energy, Engineering, Economics, Finance, or a related field.
• Certifications in ETRM systems, Power Trading, or Energy Markets are a plus.
• Prior consulting experience with a focus on Energy /power markets.

Benefits

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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Responsibilities:

• Participate in business development and pre-sales activities, including proposals and responses to RFPs and RFIs.
• Lead the definition of the Solution Architecture of challenging IT/business transformation projects in the Life Sciences industry, predominantly SAP-based.
• Ensure that technical solutions, platforms, and systems satisfy business requirements and future needs.
• Develop and implement an enterprise roadmap for SAP S/4HANA and a suite of new solutions, including leadership of the ERP non-functional roadmap and related enterprise-wide integration requirements.
• Provide digital capabilities to enhance and transform the business and to enable new business models.
• Provide leadership, guidance, and technical solutions for focus areas such as SAP S/4HANA, SAP Leonardo, SAP Cloud Platform, digital platforms, Cloud Integration, API Management, AI, Advanced Analytics, and IoT.
• Ensure a well-structured and defined solution architecture framework, delivering to time, cost, and quality and within budget.
• Ensure adherence to solution governance and enterprise architecture principles and standards.
• Lead and participate in key governance forums, including Architecture Review Boards, Program Boards, Change Control Boards, and Integration Management meetings.
• Proactively manage, monitor, and report on the identification, impact, dependencies, risks, mitigations, and implementation status of solution architecture topics and areas for improvement; and own the resolution of solution architecture issues.
• Liaise with 3rd party providers and vendors as needed.
• Manage internal consulting resources, 3rd party provider resources, and contract resources.

Requirements:

• Superior client interaction skills, ability to build trusted relationships to design and implement solutions for transformation programs jointly with clients.
• Ability to inspire, convince, and influence to gain buy-in from senior business management and stakeholders.
• Superior problem management skills (problem identification, structuring, resolution) and moderation skills.
• Excellent communication, presentation, and facilitation skills.
• Proven ability to deliver under tight deadlines and challenging constraints.
• Ability to collaborate within the Firm and to leverage existing resources.
• Superior team leadership skills, proven through project leadership positions in previous roles, with experience of establishing high-performing teams and an interest in developing team members.
• Extensive work experience in a consulting company, working in large-scale SAP transformation programs.
• Extensive work experience in the Life Sciences industry, profound know-how of Life Sciences challenges and business dynamics, and of validation implications for SAP program delivery.
• Proven delivery capability for large-scale SAP-based transformation programs within and outside of Life Sciences.
• Practical application of project management life cycle principles and methodologies (SAP Activate, including key concepts like Model Company, SAP Value Lifecycle Management etc.).
• Experience with solution and enterprise architecture frameworks and models (e.g. TOGAF).
• Considerable SAP solution architecture and enterprise architecture experience, familiar with typical solution challenges in a large-scale transformation program.
• Demonstrated skills in executing an Agile-based design and delivery approach.
• Ideally experienced in process analysis and business process design approaches.
• Solid understanding of major business processes along the value chain in the Life Sciences industry.
• Solid understanding of major data objects and SAP enterprise structures.
• Solid understanding of a range of SAP applications, including S/4HANA, e.g. BW4HANA, Ariba, IBP, MDG, etc.
• Solid understanding of applying technologies like Cloud, APIs, AI, and IoT as part of SAP Life Sciences solutions.
• Experience in delivering SAP using a value-driven transformation approach.
• Willingness to travel extensively in Europe and ability to work within a European environment is essential.

Benefits:

• Learning & Development - you will be a part of Poland's exceptional Health and Life Sciences team where you will have an opportunity to learn from seasoned professionals and industry leaders.
• Being a part of a growing team that tackles exciting and diverse challenges.
• Attractive salary package and bonuses based on your skillset.
• MultiKafeteria - you can choose MultiSport or gift cards every month or whatever you need to make you happy.
• Work From Home (Must be based in Poland).
• UoP – Umowa o prace, standard contract.
• Private Healthcare Plan.
• Pension Plans.
• Life Assurance.
• Team initiatives and events

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Keywords Studios has been modifying the way players interact with their favourite games since 1998. We're a team of over 12,000 specialists across more than 70 studios in 26 countries. We're still here to help game developers and publishers by offering a wide range of solutions from art and audio to testing, localisation, and player engagement, which is one of the fastest-growing areas of business at Keywords Studios.

The Player Engagement Service provides technical support and community management and online trust and security services to a wide range of AAA and independent game studios in the video game industry. Join us in our mission to build engaged player communities and deliver exceptional experiences!

Job Role

We're looking for experienced Business Development Managers to drive sales of our various business areas in 2025. This role focuses on our player engagement services, including player support, player security, our Helpshift ticket system, and community management. As a fully remote and European-based Business Development Manager, you'll play a key role in our player engagement solutions team, leading strategic sales initiatives, building lasting relationships with clients, and expanding our service offerings. Your expertise will be crucial in driving growth and shaping the future of our company.

Requirements

Our Business Development Manager will excel with the following skills:

• Leadership: Design and implement advanced commercial strategies tailored to potential clients, driving growth and market expansion by identifying trends and key market opportunities.
• Support: Support portfolio directors and execution teams in managing high-level client accounts, ensuring long-term client success through strategic oversight and engagement.
• Communication: Represent Keywords Studios at major industry conferences, providing strategic information and expert support at exhibition booths to increase company visibility and engagement.
• Enterprise: Expertly manage opportunities throughout the commercial lifecycle, from prospect selection to deal closure, ensuring smooth transitions and long-term client satisfaction.
• Data Analysis: Adhere to the company's advanced sales methodology, producing relevant reports and tracking key performance indicators to refine sales strategies and improve decision-making.

Ideal Candidate

• Experienced sales of player support services (clients), community management, player security (clients), and underlying technology platforms supporting these services, preferably in the video game industry or closely related sectors.
• Experienced relationship management, driving long-term partnerships and revenue growth.
• In-depth knowledge of CRM systems, player support technologies, and automation solutions, with a deep understanding of how they enhance operational efficiency and player experience.
• Collaborative spirit, with the ability to work cross-functionally with centralised teams, contributing to division growth and strategic alignment.
• Experience working with solution architecture teams and presenting a full range of services to clients.

Benefits

• Full-time position, plus benefits, including health and dental care, when employee eligibility becomes effective.
• Partnerships with STM, Telus, and BIXI (among others).
• Employee Assistance Program (EAP).

Recruitment Process

• You send us your updated CV.
• After reviewing your application, if your profile matches the role, we invite you to an online interview via MS Teams with one of our talent acquisition specialists.
• For most projects, there may be a second and/or third interview with a team lead or operations manager. This is an opportunity to ask questions and get to know each other better.
• At the end of our process, we hope you receive an offer and become our new colleague at Keywords Studios!

Our recruitment process is entirely online and remote. We value each application and evaluate each candidate individually. Our recruitment team will contact you as soon as possible to inform you of the status of your application. If you wish to join our team, we encourage you to apply. That's all from us. Now, the ball is in your court!

Language Skills

• English (communication with clients and global team members), written and spoken.

Privacy Policy

By providing your information in this application, you understand that we collect and process your information in accordance with our Candidate Privacy Notice. For more information, please visit our Candidate Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice.

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Location

San Francisco

Employment Type

Full time

Department

Compensation

• Zone A$197K – $278K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software.

About the Role

We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.

This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.

In this role, you will:

• Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.

• Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.

• Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.

• Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.

• Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.

• Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.

• Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.

• Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

You’ll thrive in this role if you:

• Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers.

• Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.

• Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.

• Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven.

• Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.

• Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.

• Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers.

• Care about customer success, reliability, safety, and operational excellence as much as you care about technical innovation.

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $197K – $278K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

About the team

The AI Deployment Engineering (ADE) team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As an ADE, you’ll help the world’s most well-known and trusted news organizations transform their business through solutions such as customer service, contextual search, personalization, and novel applications that make use of our newest, most exciting models.

About the role

We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with GenAI. You will pair with senior media leaders to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their engineering and product teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using OpenAI API and other services to maximize customer value. You will collaborate closely with Media Partnerships, Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Solutions Architecture, Digital Native.

This role is based in our New York office. We offer relocation support to new employees.

In this role, you will:

• Collaborate with news organizations around the world - from leading national and global publishers to non-profit, local, and independent newsrooms - to help them implement our technology in a way that benefits their businesses. This work will span newsroom implementations as well as use cases that benefit other parts of their businesses including customer service, internal business operations, marketing, audience development and sales.

• Deeply embed with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our API.

• Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value.

• Experiment and prototype solutions with and for your customers.

• Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale.

• Contribute to our open-source developer and enterprise resources.

• Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.

• Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams.

• Use your expertise in programming with Python and Javascript.

You’ll thrive in this role if you:

• Have 5+ years of technical consulting (or equivalent) experience.

• Have a deep understanding of news organizations business models, operating models, and their relationships with their readers and customers.

• Are proficient in Python and JavaScript.

• Built and/or delivered prototypes on top of our API platform.

• Led complex technical projects and programs with many stakeholders.

• Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.

• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done to ensure both your team and our customers succeed.

• Have a humble attitude and an eagerness to help others with empathy.

• Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize.

• Thrive in dynamic environments and are adaptable to changing circumstances.

What we offer

• Competitive salary and benefits package

• Opportunity to work with a cutting-edge technology company

• Collaborative and dynamic work environment

• Professional development and growth opportunities

• Recognition and rewards for outstanding performance

• Flexible work arrangements and work-life balance

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What you'll do

The Senior Solutions Architect, PE Systems & Technology is a senior individual contributor responsible for shaping and advancing EA’s People Experience technology architecture. This role combines deep technical expertise, enterprise solution design, and hands-on execution to modernize and evolve our HR technology ecosystem.

You will operate as a technical thought leader across platforms, drive innovation beyond off-the-shelf capabilities, and architect scalable, AI-enabled solutions across the employee lifecycle. You will influence architectural standards, guide engineering teams through DevOps-driven delivery models, and serve as a role model for technical excellence and innovation

What you need

• Enterprise-level solution architecture expertise, including designing scalable, extensible, and loosely coupled systems that integrate SaaS platforms with custom-built capabilities for People Experience (PE) systems

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What you'll do

You will act as a strategic technical leader, working hands-on to architect scalable and practical solutions that meet client objectives and integrate seamlessly within their operational frameworks.

• Collaborates with stakeholders to define solution architecture aligned to business goals and enterprise standards
• Owns end-to-end solution design across systems, processes, and data—ensuring scalability, usability, and performance

What you need

• A bachelor's degree in engineering, computer science, project management, business management, or a related field is preferred
• Minimum of seven (7) years of experience in engineering, product development, or enterprise architecture within the automotive, aerospace, or discrete manufactuing industries

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