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Location: São Paulo, Brazil; Bogotá, Colombia; Buenos Aires, Argentina; Lima, Peru; Santiago, Chile We are hiring in Latin America! 🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. We invite a Senior Analytics Engineer to join a technology consulting firm focused on the wholesale distribution industry and the Infor CloudSuite Distribution ecosystem. In this role, you’ll lead the design, implementation, and ongoing support of business intelligence solutions, taking ownership of the analytics stack, from ERP data and data modeling to dashboards and reports for end users. You’ll work across different data sources and platforms, helping clients get accurate, consistent reports and building reusable solutions for future projects. 🟩 What's in it for you: Take on complex, hands-on analytics work and help shape a growing analytics practice Work across modern analytics platforms, including Microsoft Fabric, Power BI, and Infor Birst Own end-to-end BI solutions that turn ERP data into trusted reporting for day-to-day business decisions ✅ Is that you? 10+ years in BI, analytics engineering, or data warehousing, including client-facing or multi-business-unit delivery Strong Power BI expertise: data modeling, advanced DAX, Power Query/M, performance tuning, deployment management, and row-level security Hands-on Microsoft Fabric experience: lakehouses/warehouses, Dataflows Gen2, pipelines, and semantic models Advanced SQL and query tuning for large transactional tables ETL/ELT design, including incremental loads, slowly changing dimensions, error handling, and scheduling Dimensional modeling: star schemas, fact tables, conformed dimensions, and data grain Experience extracting ERP data and reconciling reports against the system of record Ability to turn ambiguous business needs into technical designs and explain them to non-technical stakeholders Upper-Intermediate+ English level for confident client communication Strong documentation skills and experience supporting production analytics solutions Willingness to learn and work with additional analytics platforms Experience using AI tools in development and interest in conversational analytics Desirable: Strong Azure data platform experience alongside Microsoft Fabric Hands-on Infor Birst skills: spaces, logical modeling, connectors, dashboards, and security Familiarity with Infor CloudSuite Distribution, SX.e, or Infor ION/Data Lake and their underlying data structures Experience with Phocas or similar distribution-focused BI products Wholesale distribution knowledge: order-to-cash, purchasing, inventory, pricing, margins, and fill rates Experience with ERP-embedded analytics tools and the trade-offs of extending versus replacing them Python or Spark for data transformation; Git and CI/CD for analytics assets Microsoft certifications (PL-300, DP-600, DP-700) or equivalent Experience in consulting, MSP, VAR, or ERP partner environments, supporting multiple client tenants Familiarity with Power Automate, Power Apps, and Dataverse 🧩 Key responsibilities and your contribution In this role, you'll lead the development, implementation, and ongoing improvement of analytics solutions for clients. Design and build data platforms in Microsoft Fabric; lead Power BI implementations end to end Establish analytics governance standards for clients Lead Infor Birst implementations, extensions, and ongoing support; build and maintain spaces, logical models, hierarchies, measures, and security filters against Infor CSD data Extend and troubleshoot CSD dashboards and reports; resolve data refresh, connector, and performance issues Profile data from Infor CSD and related systems, and design reliable, low-impact extraction and ingestion processes Preserve raw data for reprocessing; handle change capture and deletes to prevent data loss Ingest non-ERP data and map it to conformed dimensions for analysis alongside ERP data, resolving data inconsistencies during ingestion Monitor solutions with failure alerts, row-count and freshness checks, and schema-drift detection; document recovery steps Build and maintain pipelines that transform ERP data into dimensional models for analysis Write and tune SQL; implement incremental loads and data quality checks Support clients using platforms such as Phocas with data feeds, mapping, model design, and ERP integration; advise on platform suitability and maintenance costs Use AI tools to improve development, data profiling, documentation, and testing; deliver conversational analytics, prepare semantic models for natural-language queries, and evaluate emerging AI analytics capabilities Translate distribution business needs into data requirements and working solutions; create technical documentation, runbooks, and handover materials Train and support client power users in extending analytics content Build reusable templates, models, and accelerators to facilitate future implementations I nterested? Find out more: 📋How we hire 💻 LinkedIn Page 📈 Our website 💻IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote About the problem space AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working." Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering. Little more about the team: You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place. What you'll do You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first. Ship automated workflows end to end Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't. Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work." Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring. Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing. Build the shared substrate as you go Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance. Build on the Data team's existing infrastructure rather than standing up parallel systems. Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively. Make the company fluent Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns. Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating. Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows. Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked. Keep it safe and governable Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment. Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines. What you'll bring Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily. Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable. The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work. A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making. Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk. Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are. Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does. Nice to have SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling). Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases. Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis. Change management experience across a distributed, multi-function company. Interest in external evangelism — writing, speaking, podcasts, peer groups. Base Salary based on level of experience $310,000 — $360,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote About the problem space AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working." Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering. Little more about the team: You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place. What you'll do You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first. Ship automated workflows end to end Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't. Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work." Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring. Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing. Build the shared substrate as you go Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance. Build on the Data team's existing infrastructure rather than standing up parallel systems. Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively. Make the company fluent Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns. Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating. Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows. Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked. Keep it safe and governable Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment. Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines. What you'll bring Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily. Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable. The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work. A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making. Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk. Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are. Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does. Nice to have SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling). Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases. Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis. Change management experience across a distributed, multi-function company. Interest in external evangelism — writing, speaking, podcasts, peer groups. Base Salary based on level of experience $225,000 — $265,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: Ready to start or grow your sales career? As a Sales Development Representative, you'll generate new business through inbound and outbound calls and partner with our distributed sales team. This is a hybrid role, with three days per week in our Columbia, MD office. Your Opportunity: Make outbound calls to generate new sales opportunities and pipeline. Follow up on inbound sales inquiries to generate new opportunities and pipeline. Qualify leads, then schedule meetings and demos for our Territory Managers. Research target accounts for outbound call campaigns. Promote Tenable events and webinars in your region. Maintain accurate contact and account records for your region in our databases. Make 50+ calls per day to inbound and outbound prospects. Generate a minimum of 7 new meetings or demos per week. Perform other related duties as assigned. What You'll Need: 1-3 years of experience in sales or a similar client support role. The ability to multitask and manage multiple priorities in a fast-paced environment. Strong oral and written communication skills. Attention to detail and the ability to work accurately with minimal supervision. Availability to work in our Columbia, MD office three days per week. And Ideally: Experience with Salesforce or another CRM tool. A bachelor's degree. #LI-Hybrid #LI-MF1#LI-Hybrid #LI-MF1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $19.47 — $25.88 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE Scaling humanoid robots from hundreds to tens of thousands of units takes several hundred million dollars of new capital, and much of it will come from partners, not just funds. Our biggest investors are also our supplier, manufacturer and customer. That makes capital formation and strategic partnerships one job. You will be the senior operator who connects them. You will lead our next equity rounds alongside the CFO, open doors to the strategic and institutional investors who can carry Humanoid to a public exit, and turn partnerships with industrial, compute and supply-chain leaders into capital, contracts and access. Few roles offer this mix of venture, growth equity, corporate development and deal-making at a company of this ambition.   WHAT YOU'LL DO Capital formation (with the CFO and CBO) 1. Co-lead equity rounds from Series B onward: investor targeting, sequencing, process management, term sheet negotiation and closing. 2. Build and run a single investor CRM and pipeline across VC, growth equity, private equity, crossover funds, sovereign wealth, family offices and corporate venture arms. 3. Cultivate a core group of long-term foundational investors ahead of each round, with a regular cadence of updates and meetings. 4. Shape the equity story with the CFO and CEO: deck, data room, model narrative and answers to diligence. 5. Structure non-dilutive and hybrid capital with the CFO, including strategic investments, venture debt, equipment and fleet financing for RaaS, and customer-funded capacity. 6. Help lay the groundwork for a public exit: investor base quality, crossover readiness and relationships with banks and long- only funds. Strategic partnerships (with the CFO and CBO) 1. Originate, structure and close strategic alliances with industrial OEMs, logistics operators, compute and AI platforms, and supply-chain partners. 2. Design deal structures that combine commercial and capital terms: strategic equity, joint ventures, co-development, volume commitments, compute-for-equity and regional partnerships. 3. Own the partner relationship at executive level after signing, so each alliance delivers its commercial, technical and capital commitments. 4. Map the strategic landscape: who is investing in robotics and embodied AI, how, and where Humanoid fits. Across both 1. Run one pipeline that links investor conversations to partnership opportunities, avoiding conflicts with competitor holdings. 2. Gate access to the CEO and founders so leadership time goes to the highest-value conversations. 3. Report pipeline, forecast and deal status to the CFO, CBO and board.   WHAT WE'RE LOOKING FOR You have sat on both sides of the table: investing at a top-tier venture firm, then raising capital and closing strategic deals for a high-growth company. Required - Top-tier VC experience: 4+ years as an investor (Principal, Partner or equivalent) at a leading venture or growth firm,ideally with exposure to deep tech, robotics, AI or industrial technology. - Fundraising track record across all three capital sources: led or co-led raises from venture capital, private equity or growth equity, and strategic or corporate investors. Be ready to walk us through specific rounds, sizes, investors and your role. - Strong relationships at strategic partners: trusted, senior-level contacts at industrial OEMs, automotive and manufacturing groups, logistics operators, semiconductor and compute companies, or their corporate venture arms. - Deal structuring: hands-on negotiation of term sheets, strategic investments, joint ventures or commercial agreements with capital attached. - Network: active relationships with growth, crossover and sovereign investors in the US and Europe. - Experience: 12+ years across investing, corporate development, investment banking or a startup finance or business leadership role. - Financial fluency: you can defend a financial model, valuation and cap table in front of a demanding investment committee. Nice to have - Operating experience at a hardware, robotics, autonomy or industrial AI company after Series B - Experience with IPO preparation, crossover rounds or a US–UK corporate restructuring - Exposure to non-dilutive capital: venture debt, asset or fleet financing, government grants and defence or industrial programmes - Relationships with Gulf, Asian or European sovereign and strategic investors MBA, CFA or equivalent   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Remote, Any, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We're looking for a Partner Solutions Architect to own the global technical relationship with Snowflake and Databricks. Snowflake and Databricks are two of Fivetran + dbt Labs’ largest platform alliances. This is a global role scoped to those two partners. For each, you will own the technical alliance plan worldwide, the joint technical narrative, and our joint integration and roadmap priorities with each partner to drive cosell revenue. You will also own our technical presence at major milestones such as Snowflake Summit and Databricks Data + AI Summit, our two largest partner events. Functionally, the role sits at the intersection of field engineering, product management, partnerships, and partner marketing. Your closest counterparts are the global alliance managers for Snowflake and Databricks, the regional partner sales managers who run the Snowflake and Databricks motions in AMER, EMEA and APJ, the geo partner solutions architects, and product managers across both product lines. You will report to the global head of partner solutions architecture. This is a full-time position, which can be either remote (US) or hybrid depending on location. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You’ll Do Own the global technical alliance plans for Snowflake and Databricks. Build each plan with the partner's alliance and product leadership, agree it with our own, and drive it through both field organizations. Own the joint technical narrative and the capability messaging for the combined dbt + Fivetran platform on Snowflake and Databricks, including reference architectures, integration patterns, and the joint value story that partners and sellers use with customers. Build reusable collateral, playbooks and enablement assets for the broader partner solutions architecture team and for the partners delivering on Snowflake and Databricks. Maintain a single, current view of integration state, gaps and opportunities across the combined platform on Snowflake and Databricks, covering ingestion, transformation, Fusion, the semantic layer, catalog and metadata, open table formats, and agent and MCP interfaces, and collaborate with our Product organization to drive the right outcomes. Serve as the primary technical counterpart to the partner engineering and partner product teams at Snowflake and Databricks, and run the standing technical cadence with each. Own our technical presence at Snowflake Summit and Databricks Data + AI Summit, including hands-on labs, sessions, demos, and the technical readiness of the team who staff each event. Partner with the regional Partner Solutions Architects and Partnerships organization so global alliance strategy turns into regional execution, and so they can run the motion without you in the room. Travel approximately 30% for alliance planning, technical workshops, executive meetings and partner events, including international travel. Skills We’re Looking For 6+ years in solutions architecture, sales engineering, partner engineering, technical product management, developer relations, or another customer-facing technical role in data and analytics. Fluency across the modern data stack (ingestion, transformation, orchestration, warehouses and lakehouses, open table formats, semantic layers, catalogs, BI, and the emerging agent and MCP layer) and the ability to explain how the pieces fit. Hands-on knowledge of Snowflake and/or Databricks, plus strong SQL and data modeling fundamentals, with genuine technical credibility in front of partner engineers. Sound product and strategic judgment and reasoning Strong presentation and facilitation skills for workshops, hands-on labs, keynote-adjacent sessions and large partner technical audiences. Proven ability to drive outcomes in ambiguous, fast-moving environments with multiple stakeholders Bonus Skills​ Experience owning a technical alliance, with a track record of shaping what a partner built and how the two products fit together Experience with partner-facing APIs, SDKs, drivers, or integration certification programs Background in product management or technical product marketing alongside a field engineering career Familiarity with cloud marketplace motions and co-sell programs OTE (On Target Earning) $209,748 — $262,185.60 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Serve as the CEO's financial thought partner on growth strategy, investment priorities, resource allocation, and profitability. Drive capital allocation decisions across the executive team — where Engine invests people, capital, and resources, and where we make tradeoffs.

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are The Associate, FP&A is a versatile, early-career finance professional who will serve as a generalist across Galaxy’s business lines and corporate functions. As the first FP&A hire based in India, this role offers room to grow as the team’s India footprint expands over time. Day to day, you will support the broader finance team across management reporting, expense allocation, planning, and forecasting. You will help ensure personnel and G&A expenses are appropriately allocated across business-unit and corporate-function budgets, support recurring revenue and cost analyses, and contribute to weekly, monthly, and quarterly reporting. This requires a high degree of attention to detail and the ongoing improvement of automated tools to manage large volumes of data. You will also support the broader FP&A team by maintaining and building financial models and analyses for existing and new business initiatives. The role requires someone who is comfortable moving quickly in a fast-paced, high-growth environment and can flex across topics as priorities shift. It also requires AI fluency: you will be expected to use AI tools to accelerate your output and deepen your analysis. You will partner closely with FP&A colleagues, Controllers, and business and corporate-function teams across Galaxy and will require seamless remote collaboration with teammates. What You’ll Do Expense Allocation & Management Reporting Help manage and improve the processes that allocate expenses (personnel and G&A) to business units Support reconciliation, data enrichment, and cost-center mapping; partner with Controllers and Finance Engineering to keep allocations accurate Contribute to the buildout of automated, governed management-reporting pipelines Business-Line & Corporate-Function Support (generalist coverage) Support expense-related monthly and quarterly reporting, budget-versus-actual analysis, and variance commentary across business lines and corporate functions Update and maintain different weekly, and quarterly P&L reporting streams Build and maintain financial models, schedules, and trackers, keeping recurring analyses accurate and on time Prepare clear, management-ready materials in Excel and PowerPoint for FP&A and business stakeholders Support recurring revenue and cost analysis, including vendor and infrastructure cost reporting Support annual business planning and periodic forecast cycles by collecting and consolidating business unit and corporate function assumptions Automation & AI Use AI tools and Excel to accelerate analysis, automate recurring processes, and shorten turnaround Identify opportunities to streamline manual work and improve data quality, and communicate them to the FP&A and relevant technology teams What We’re Looking For 2–4 years of experience in FP&A, finance, accounting, or a related field Prior experience at a financial services company ( required ) Excellent Excel and PowerPoint skills Fluency with AI tools, with tangible examples of using them to accelerate analysis or reporting Ability to work quickly and independently in a fast-paced, high-growth environment; comfortable with ambiguity and shifting priorities Strong attention to detail and reliability on recurring processes Strong written and verbal communication skills, with the ability to collaborate effectively across different time zones Strong analytical and reconciliation skills Comfortable working with large datasets Bonus Points Exposure to crypto, digital assets, or fintech Experience with expense allocation, cost-center, or management-reporting processes Familiarity with on-chain data sources (e.g., Dune Analytics) Experience at a publicly listed company Experience as an early or first hire helping to build a team, function, or regional presence Familiarity with NetSuite or a similar ERP and with planning/reporting platforms Experience with Power Query, SQL, BI/reporting tools, or other data-transformation/automation tools What We Offer Competitive base salary and discretionary bonus Benefits and paid time off in line with local (India) policy Opportunities to learn about the crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Marketing Technologies Director The Marketing Technologies Director, leads PlayStation's global marketing technology organization across engineering, product management, UX, measurement and experimentation, audience activation, and marketing data. This leader owns the technology vision, architecture, product strategy, and roadmap for platforms used by marketers worldwide to reach hundreds of millions of players. The role is accountable for building secure, scalable, AI-enabled capabilities that improve marketing effectiveness, speed, and customer experience. We are seeking a technology leader with direct software or data engineering experience building marketing technology products and platforms. The successful candidate can lead engineers and technical product teams, make architecture and build-versus-buy decisions, and translate marketing needs into durable systems. Experience limited to administering vendors or managing a marketing technology stack without direct engineering experience does not meet the requirements of this role. Key Responsibilities Technology Engineering and Product Leadership Lead multidisciplinary teams responsible for marketing technology engineering, product management, and UX, with clear goals, operating rhythms, and accountability for delivery. Own end-to-end delivery and operation of global marketing platforms, from discovery and architecture through launch, adoption, reliability, and continuous improvement. Set the architecture for marketing platforms, APIs, data pipelines, audience services, orchestration, and activation integrations. Define the marketing technology product vision and prioritize a multi-year roadmap based on customer value, technical feasibility, business impact, risk, and platform health. Establish engineering standards for security, privacy, reliability, observability, scalability, and the management of technical debt. Lead product discovery and UX research with marketing teams globally, converting user needs into intuitive workflows and measurable product outcomes. Evaluate build, buy, and partner options with technical rigor, and ensure third-party platforms integrate into a coherent, maintainable architecture. Measurement Experimentation and Audience Activation Lead the measurement and experimentation function, including test design, measurement frameworks, platform capabilities, and the use of results in marketing decisions. Lead audience activation and marketing data teams responsible for identity, segmentation, consent-aware audience management, data quality, governance, and activation readiness. Connect audience, measurement, and activation capabilities across marketing channels so teams can plan, execute, learn, and optimize through shared data and platforms. Partner with Data Science and Analytics leaders to embed experimentation, causal measurement, predictive models, and decision support into marketing workflows. Assess and scale AI and automation use cases that improve marketer productivity, decision quality, and customer relevance. Strategy and Transformation Serve as the technical and strategic partner to Media, Creative, Brand Marketing, Product Marketing, Marketing Operations, Data Science, and Business Analytics leaders. Align SIE teams that own or influence the marketing technology stack around a single architecture, product vision, roadmap, and set of investment priorities. Lead high-priority transformation initiatives, managing execution, organizational dependencies, adoption, and measurable business outcomes. Partner with marketing leaders to redesign workflows, processes, decision rights, and operating models around new platform capabilities. Balance global platform standards with appropriate local and product-level flexibility while maintaining security, privacy, and architectural integrity. Define success measures and post-launch KPI tracking for platform performance, adoption, marketing effectiveness, and business impact. Skills and Qualifications Bachelor's degree in software engineering, computer science, data engineering, or a related technical field; equivalent practical experience is acceptable. An advanced degree is preferred. 12+ years of experience across software or data engineering, technical product management, and marketing technology, including leadership of global teams. Direct software or data engineering experience and a record of leading engineering teams that built and operated production marketing technology systems. Demonstrated success building, launching, and operating enterprise SaaS products or internal platforms, beyond implementing or administering third-party tools. Technical depth in cloud architecture, APIs, systems integration, data pipelines, identity and audience systems, security, privacy, reliability, and scalability. Experience leading multidisciplinary organizations spanning engineering, product management, UX, measurement and experimentation, analytics or data science, and audience activation. Strong command of experimentation methods, marketing measurement, analytics, and the use of data to improve product and marketing decisions. Experience with AI-powered products, machine learning platforms, or automation in production environments. Experience owning multi-year technology and product roadmaps and making investment, architecture, and build-versus-buy decisions. Ability to influence senior leaders, communicate technical tradeoffs clearly, and lead transformation across teams and regions. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $207,400 — $311,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Marketing Technologies Director The Marketing Technologies Director, leads PlayStation's global marketing technology organization across engineering, product management, UX, measurement and experimentation, audience activation, and marketing data. This leader owns the technology vision, architecture, product strategy, and roadmap for platforms used by marketers worldwide to reach hundreds of millions of players. The role is accountable for building secure, scalable, AI-enabled capabilities that improve marketing effectiveness, speed, and customer experience. We are seeking a technology leader with direct software or data engineering experience building marketing technology products and platforms. The successful candidate can lead engineers and technical product teams, make architecture and build-versus-buy decisions, and translate marketing needs into durable systems. Experience limited to administering vendors or managing a marketing technology stack without direct engineering experience does not meet the requirements of this role. Key Responsibilities Technology Engineering and Product Leadership Lead multidisciplinary teams responsible for marketing technology engineering, product management, and UX, with clear goals, operating rhythms, and accountability for delivery. Own end-to-end delivery and operation of global marketing platforms, from discovery and architecture through launch, adoption, reliability, and continuous improvement. Set the architecture for marketing platforms, APIs, data pipelines, audience services, orchestration, and activation integrations. Define the marketing technology product vision and prioritize a multi-year roadmap based on customer value, technical feasibility, business impact, risk, and platform health. Establish engineering standards for security, privacy, reliability, observability, scalability, and the management of technical debt. Lead product discovery and UX research with marketing teams globally, converting user needs into intuitive workflows and measurable product outcomes. Evaluate build, buy, and partner options with technical rigor, and ensure third-party platforms integrate into a coherent, maintainable architecture. Measurement Experimentation and Audience Activation Lead the measurement and experimentation function, including test design, measurement frameworks, platform capabilities, and the use of results in marketing decisions. Lead audience activation and marketing data teams responsible for identity, segmentation, consent-aware audience management, data quality, governance, and activation readiness. Connect audience, measurement, and activation capabilities across marketing channels so teams can plan, execute, learn, and optimize through shared data and platforms. Partner with Data Science and Analytics leaders to embed experimentation, causal measurement, predictive models, and decision support into marketing workflows. Assess and scale AI and automation use cases that improve marketer productivity, decision quality, and customer relevance. Strategy and Transformation Serve as the technical and strategic partner to Media, Creative, Brand Marketing, Product Marketing, Marketing Operations, Data Science, and Business Analytics leaders. Align SIE teams that own or influence the marketing technology stack around a single architecture, product vision, roadmap, and set of investment priorities. Lead high-priority transformation initiatives, managing execution, organizational dependencies, adoption, and measurable business outcomes. Partner with marketing leaders to redesign workflows, processes, decision rights, and operating models around new platform capabilities. Balance global platform standards with appropriate local and product-level flexibility while maintaining security, privacy, and architectural integrity. Define success measures and post-launch KPI tracking for platform performance, adoption, marketing effectiveness, and business impact. Skills and Qualifications Bachelor's degree in software engineering, computer science, data engineering, or a related technical field; equivalent practical experience is acceptable. An advanced degree is preferred. 12+ years of experience across software or data engineering, technical product management, and marketing technology, including leadership of global teams. Direct software or data engineering experience and a record of leading engineering teams that built and operated production marketing technology systems. Demonstrated success building, launching, and operating enterprise SaaS products or internal platforms, beyond implementing or administering third-party tools. Technical depth in cloud architecture, APIs, systems integration, data pipelines, identity and audience systems, security, privacy, reliability, and scalability. Experience leading multidisciplinary organizations spanning engineering, product management, UX, measurement and experimentation, analytics or data science, and audience activation. Strong command of experimentation methods, marketing measurement, analytics, and the use of data to improve product and marketing decisions. Experience with AI-powered products, machine learning platforms, or automation in production environments. Experience owning multi-year technology and product roadmaps and making investment, architecture, and build-versus-buy decisions. Ability to influence senior leaders, communicate technical tradeoffs clearly, and lead transformation across teams and regions. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $226,200 — $339,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: The Director of Finance Systems Engineering is a technology and engineering leader responsible for delivering and evolving systems that enable critical Finance capabilities. Reporting to a Senior Director in IT, this role will lead teams responsible for enterprise planning and forecasting platforms, custom-built Finance solutions, and SaaS applications that complement the core SAP ERP ecosystem. The Director will lead a multidisciplinary team that includes planning model builders, systems analysts/product owners/TPMs, and software engineering professionals. This leader will partner closely with Finance to translate business priorities and transformation objectives into scalable technology solutions that simplify processes, improve decision making, and enable greater use of data, automation, AI, and machine learning. A key responsibility of the role is strengthening the team’s ability to connect Finance domain expertise with specialized data and machine learning capabilities, enabling Finance to translate its AI and ML objectives into scalable solutions. The successful candidate will combine strong engineering and people leadership with Finance domain knowledge and experience across enterprise planning platforms, custom software development, SaaS solutions, integration architectures, data, and AI/ML technologies. What you'll be doing: Finance Systems Leadership & Business Partnership Lead multidisciplinary teams responsible for planning and forecasting platforms, custom Finance solutions, and Finance-related SaaS applications. Partner with Finance leaders to understand business priorities and translate Finance transformation objectives into technology strategies, roadmaps, and solutions. Own the technology portfolio and multi-year roadmap balancing business priorities, technical debt, platform lifecycle, and operational sustainability. Establish engineering and product practices that balance speed, business value, user experience, scalability, reliability, security, and maintainability. Develop strong partnerships with Enterprise Architecture, Data Engineering, ML Engineering, Integration, Infrastructure, Cybersecurity, and other technology teams to deliver cohesive end-to-end solutions. Manage strategic technology vendors and implementation partners to ensure successful delivery, operational excellence, and continuous innovation. Build and develop a high performing organization across model building, systems analysis/product ownership, and software engineering disciplines while fostering a culture of accountability, collaboration, innovation, and continuous learning. Planning, Finance Applications & Software Engineering Provide technology leadership for enterprise-scale financial planning, budgeting, forecasting, and scenario-modeling solutions used across Finance. Lead the engineering, maintenance, and support of custom applications and services that address Finance-specific business requirements. Provide leadership for Finance SaaS applications adjacent to the core SAP ERP ecosystem. Ensure Finance solutions integrate effectively with SAP and the broader enterprise application and data ecosystem while maintaining appropriate architectural standards and controls. AI, ML and Data Enablement Partner with Finance leaders to identify opportunities where data, AI, and machine learning can improve planning, forecasting, financial analysis, automation, and decision making. Assess capability gaps and establish development plans, role expectations, and ways of working that prepare the Finance Systems Engineering organization to collaborate effectively with Data Engineering and ML Engineering teams. Enable teams to translate Finance business problems and domain knowledge into well-defined data, AI, and ML use cases. Partner with specialized technology teams to incorporate enterprise data, predictive models, and AI/ML services into Finance applications and business processes. Define how Finance Systems Engineering will evaluate, adopt, and govern AI and ML capabilities available through enterprise applications, internal data and ML platforms, and approved external services. Help drive adoption and operationalization of AI/ML capabilities within Finance while ensuring alignment with enterprise architecture, data governance, security, privacy, and technology standards What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience. 10+ years of progressive experience leading enterprise application or software engineering organizations in a large enterprise environment, including accountability for multidisciplinary teams, technology delivery, and operational performance. 5+ years leading through managers, including responsibility for organizational design, talent development, performance management, and succession planning. Demonstrated experience building and leading multidisciplinary teams across software engineering, enterprise applications, planning applications, systems analysis, product ownership, and technical program management Experience leading enterprise scale financial planning, budgeting, forecasting, and scenario-modeling platforms, including responsibility for platform strategy, delivery, lifecycle management, and operational performance. Strong understanding of Finance processes, particularly financial planning, budgeting, forecasting, and related Finance operations. Demonstrated ability to partner with senior business leaders, translate business and transformation objectives into technology strategy and execution, and own multi-year portfolio roadmaps that balance business priorities, technical debt, platform lifecycle, and operational sustainability. Strong understanding of software engineering, enterprise architecture, integration, data, and cloud concepts. Demonstrated ability to develop technical talent and build new capabilities within an engineering organization, including preparing teams to partner effectively with Data Engineering and ML Engineering and to operationalize data, AI, and machine learning capabilities. Strong executive communication, stakeholder management, and cross functional leadership skills. Preferred Qualifications Experience with one or more enterprise-scale planning and forecasting platforms, such as Anaplan, Workday Adaptive Planning, or SAP Analytics Cloud, including solution design, model governance, integration, or platform administration. Experience leading software engineering teams building custom enterprise solutions using Golang, Java or comparable programming languages. Experience with event-driven and streaming architectures and enterprise integration patterns. Experience leading a portfolio of Finance SaaS solutions, such as Coupa, Rightsline, or comparable platforms, including vendor management, integration, lifecycle planning, and operational governance. Experience with SAP S/4HANA and integration of Finance applications and services with the core ERP environment. Experience in jointly delivering production AI or machine learning capabilities with Data Engineering and ML Engineering teams, including integration into enterprise applications or business processes. Understanding of how AI and machine learning can be applied responsibly to Finance use cases, including forecasting, predictive insights, anomaly detection, decision support, and process automation, with attention to data governance, security, privacy, and enterprise technology standards. Experience supporting technology enabled Finance transformation within a large, global organization. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Director, Analytics Engineering, you'll lead a team of 8 and report to the VP of Data & Insights. You set direction across the data organization, stay close enough to the work to guide technical decisions credibly, and partner with Data Engineering, Data Science, IT, and business leaders. You will have three mandates: Build trusted, AI-ready self-service. Deliver a semantic model that answers business questions correctly, with the telemetry, evals, and model flexibility to prove it and keep costs in check. Set the strategy for how GitLab accesses data. Own the data models, BI tools, and AI access patterns (Claude, MCP servers, Slack agents) that put trusted data in everyone's hands. Build data applications the whole company relies on. Ship production-grade apps that combine trusted data, APIs, and AI to answer questions dashboards can't. What you'll do Build and own a trusted semantic model, with governed metrics and business definitions, that answers business questions consistently across every tool Build evals and ground-truth datasets that measure answer quality, and use them to drive improvements and catch regressions Instrument telemetry to see who uses the semantic model and AI tools, what they ask, and where they get stuck Build a model-selection harness so GitLab can route work across LLMs and stay flexible on cost and quality Own data modeling and curated datasets for self-service, with the ownership, data contracts, testing, and documentation that make them AI-ready Define the AI data access strategy: when to use BI, Claude, MCP servers, or Slack agents, with the governance and security to keep access trusted and reliable Own the enterprise BI and self-service tools strategy (e.g., Tableau, Omni), including evaluation, adoption, and cost Build self-service capabilities, such as Claude skills, documentation, and guided workflows, that help people find and use data on their own Build and own company-wide data applications, from Claude-built single-page apps to apps inside BI tools, that combine Snowflake data, API calls, AI-powered deep dives, and write-back to Postgres or Snowflake Set engineering standards for data apps (security, authentication, testing, deployment, and monitoring) so they're reliable at company scale Set a long-range roadmap tied to company strategy, and a lightweight operating model that balances urgent stakeholder needs with investment in reusable data products and tech-debt reduction Hire, coach, and retain a high-performing team of 8: build career paths, develop leaders, distribute ownership, and recognize great work Act as customer zero for GitLab and GitLab Duo in data workflows, sharing feedback with Product and Engineering What you'll bring 12+ years in analytics engineering, data engineering, or BI, including 5+ years leading teams and 2+ years managing managers or senior leads Deep expertise in data modeling and semantic layers (e.g., dbt Semantic Layer, Snowflake semantic views, LookML, Cube), and expert dbt, including testing and CI/CD across a multi-team project Hands-on experience building LLM-powered data access (text-to-SQL, agents, MCP servers), including evals and telemetry for answer quality, and advanced use of AI coding agents such as Claude Code Expert SQL and strong Snowflake experience; working knowledge of Python Strong data governance experience: data quality, lineage, certified datasets, and access controls (RBAC, row access and masking policies) Track record of leading cross-functional data initiatives from strategy through adoption and measurable business impact, including enterprise BI and self-service at scale Systems thinker who sees how models, pipelines, and architecture decisions connect, and designs for second-order effects Exceptional communicator who writes clear technical specs, sets a clear vision, makes trade-offs visible, and influences executives and peers across the company Pragmatic in ambiguity: makes sound decisions on emerging technology and ships the right next version rather than waiting for the ideal end state Able to use GitLab, thrive in an all-remote, asynchronous company, model GitLab's remote working competencies, and work in line with GitLab's values Nice to Have Experience with LLM routing or gateway tools and managing model costs Experience with Tableau, Omni, or a BI platform migration Experience with web app development (e.g., React, TypeScript) and Postgres Experience owning finance or revenue-critical data (e.g., ARR, consumption) where accuracy and auditability are non-negotiable About the Team Analytics Engineering makes GitLab's data trusted, easy to find, and ready for anyone to use, whether they ask a dashboard, Claude, or a Slack agent. We own the curated data models, the semantic layer, the self-service tools, and the data applications that let teams answer their own questions. AI is changing how people get to data. Questions that once went through an analyst now go straight to AI tools, so the answers are only as good as the data models and business definitions behind them. Our job is to make those answers correct, consistent, and measurable. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Paris; New York; US (EST); US Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION: Paris or remote (from -5h GMT up to +2h GMT to ensure sufficient overlap with the rest of the team). ABOUT THE ROLE: As Head of Security, you'll define and drive Morpho's security strategy across the entire organization - corporate IT, cloud and infrastructure, application, supply chain, identity, incident response, threat intelligence, and counterparty security - and you'll build the team and function to deliver it. This is a hands-on leadership role: in the early days you'll personally do the work while you hire, and you'll stay close enough to the technical detail to earn the trust of a deeply technical organization. You'll also be Morpho's credible security voice, internally to leadership, and externally to the integrators, institutions, and ecosystem partners who depend on us. You'll partner closely with Engineering on infrastructure and deployment integrity, and with our Integration team, which works with various partners across the Morpho ecosystem. RESPONSIBILITIES: - Own and continuously evolve Morpho's security strategy and roadmap across, cloud/infrastructure, application, supply-chain, identity, and operational security. - Build and lead the security function - hire, grow, and develop the team, recruiting skillsets across security operations and application security. - Oversight of the IT function - Stay hands-on. Personally execute critical security work - threat modeling, architecture review, control implementation, and incident command - while the team scales. - Set the governance architecture: a coherent security framework that ties tooling and controls together, rather than accumulating tools in isolation. - Own incident response end to end - runbooks, incident command, severity and escalation structure, and market communication during an event. - Build and run a counterparty security program for curators and partners - identity verification, screening, operational diligence, and bidirectional incident-coordination channels. - Lead Morpho's certification strategy (e.g. SOC 2, ISO 27001), meeting both the spirit and the letter sustainably. - Represent Morpho's security posture externally - to fintechs, financial institutions, and the broader ecosystem - and internally to executives. - Partner cross-functionally with Engineering, Protocol, and Integrations, driving security outcomes through both direct ownership and influence. WHAT SUCCESS LOOKS LIKE: FIRST 30 DAYS - You've built a clear, independent picture of Morpho's posture, architecture, threat model, and in-flight work - and pressure-tested the existing strategy against it. - You've met the team and established working relationships with the people who own the surfaces you'll most depend on. - You understand the path-to-funds attack surface in depth and have an early, evidence-based view of the highest-severity risks and quick wins. - You know exactly where incident-response readiness stands today. FIRST 60 DAYS - You've published a clearly prioritized security roadmap with clear sequencing, owners, and the rationale for what's deferred and aligned leadership behind it. - You've defined the team build-out plan and opened the first hire. - You're personally driving the top-severity gaps - identity and authentication enforcement, deployment guardrails, and a documented incident-response runbook among them. - You've set the governance framework and the certification path in motion. FIRST 90 DAYS - Demonstrable progress closing the highest-priority gaps, with key controls enforced rather than optional. - A documented incident-response capability that's been validated by at least one tabletop exercise. - Hiring underway, and a clear operating rhythm established with Engineering, Protocol, and Integrations. - Morpho's external security posture is taking shape - trust surface, counterparty security program, and ecosystem engagement - and you're recognized internally and externally as Morpho's credible security voice. MUST-HAVE EXPERIENCE & SKILLS: - 10+ years in security, several of them building or leading a security function, ideally at a crypto/web3, fintech, or financial-services company where security is core to the business. - Strong grasp of the crypto/web3 threat model - Proven experience building and growing a security team from a small base, recruiting across security operations and application/infrastructure security. - Deep, hands-on technical expertise across cloud, infrastructure, CI/CD, supply-chain, identity, and application security - you do the work, not just direct it. - Owned incident response end to end, including incident command and external communication. - Sharp prioritization and the ability to galvanize action through hard and soft influence, including driving outcomes through teams you don't own. - Exceptional, organized, responsive communication - credible to executives and to external audiences from fintechs to Fortune 500 institutions. - Humble. NICE TO HAVE: - An established network and public profile in the security or crypto-security community, and comfort representing security work publicly (talks, writing, framework contribution). - Offensive security depth, or experience standing up red/blue capabilities. - Familiarity with institutional and regulatory expectations and threat-sharing networks (e.g. Crypto ISAC, TIBER-style frameworks). - Taken an organization through certifications (SOC 2, ISO 27001, or equivalent) PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.   The difference you’ll make: You’ll sit in the Applied AI who are part of the wider AI Centre of Excellence reporting to the Lead Applied AI Engineer. You’ll work closely with our business verticals, engineering, security, vendors and business stakeholders to build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues. Together, the Centre of Excellence teams builds and operates applied and agentic AI workflows, SaaS services, integrations and data pipelines to deliver the business objectives of the supported verticals. You’ll contribute to production services from day one, developing your skills while improving reliability, automation and operational outcomes. The team sits within Business IT & AI Operations, providing the technical expertise, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively. Your day-to-day: - Administer and continuously improve a rangeSaaS platforms and AI-enabled services, including configuration, access, environments, integrations and lifecycle management. - Build and maintain applied and agentic AI workflows and automation pipelines that connect models, tools, business data, APIs and SaaS systems. - Use Google ADK or similar frameworks to build, test and iterate on tool-using agents and AI-powered automations. - Monitor service health, usage, cost and performance; lead testing, evaluation and incident triage to improve reliability and prevent recurring issues. - Partner with product, engineering, security, vendors and business teams to translate needs into effective platform configurations, integrations and automations. - Document configurations, dependencies and runbooks, applying secure change-management, governance and operational practices. Your skillset: - SaaS Administration: Experience administering cloud-based business systems, including configuration, user access, environments, integrations, release management and vendor support. - Applied AI & Agentic Workflows: Experience building agentic workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Familiarity with Google ADK or similar frameworks is desirable. - API & Data Integration: Strong knowledge of REST APIs, webhooks and event-driven or scheduled pipelines for connecting SaaS platforms, AI services and backend systems. - Familiarity with cloud environments, preferably Google Cloud Platform, CI/CD, observability, incident management and secure operational practices. The interview journey: - Intro with a member of the Talent Acquisition team - 30 mins - 1st stage video interview with Lead Applied AI Engineer - 1 hour - Applied AI and SaaS administration task - Final stage with Director of Applied AI and senior stakeholders - 1 hour Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Cycle to work scheme, season ticket loan and eye care vouchers Our commitment to inclusion: At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Berlin Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Head of Public Affairs for Germany on the Policy and Government Relations team, you will shape Mistral AI’s presence and influence in Germany, ensuring the company plays a leading role in the future of AI policy and regulation. This role exists to establish Mistral AI as a trusted thought leader in Germany, driving both public interest and business growth by navigating complex regulatory landscapes. You will work closely with policymakers, industry leaders, and internal teams to build a regulatory ecosystem that supports innovation while enabling adoption in the public sector. Your impact will be immediate: from shaping policy strategies to unlocking revenue opportunities, you will help Mistral AI thrive in one of its most critical markets. This role directly reports to our Public Affairs Director for EMEA, and may evolve to a larger DACH and/or Central Europe scope in the future. WHAT YOU WILL DO - Monitor and analyze AI-related policy developments in Germany and the EU, assessing their impact on Mistral AI. - Develop and execute a long-term public affairs strategy, including parliamentary engagement, position papers, and lobbying campaigns. - Engage with policymakers, industry leaders, and key opinion leaders to foster constructive dialogue on AI and technology policy. - Prioritize and respond to policy issues affecting Mistral AI, proposing solutions that align with business and community interests. - Advise cross-functional teams on regulatory changes, ensuring compliance and informing product and business decisions. - Collaborate with Sales to design strategies that accelerate public sector adoption of AI. - Track industry trends and best practices in public affairs, ensuring the team remains ahead of regulatory shifts. - Build and maintain a strong network in Germany to amplify Mistral AI’s influence and reputation. WHAT WE'RE LOOKING FOR - Extensive public affairs experience, with a track record of impacting policy-making, ideally in both public and private sectors. - Deep understanding of German institutions (federal, regional, and local) and the ability to map decision-making power. - Expertise in tech regulations, including GDPR, Copyright, AI Act, DMA, and tax laws. - Experience in highly scrutinized environments, where public affairs are critical to business success. - Trust-building skills, with the ability to defend positions rigorously, foster long-term relationships, and act as a thought partner. - Team player with a bias for action, ownership, and the ability to navigate ambiguity. - AI knowledge and familiarity with long-term industrial plans or model development (a plus). - Open Source mindset, aligning with Mistral AI’s commitment to openness and collaboration. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Director, Legal Operations will serve as the centralized owner for Legal’s operations, technology, data, and execution. This role is responsible for Legal AI strategy and implementation, partnering closely with Engineering, Product, Security, Finance, and other stakeholders to modernize and scale Kraken’s legal function. As Kraken’s regulatory footprint and business complexity grow, this leader will own operational strategy, tooling, process design, and metrics—driving automation, AI adoption, workflow standardization, and vendor optimization. This role ensures Legal operates as a strategic, data-driven partner to the business rather than a reactive cost center. This leader will also be responsible for Legal’s financial, resourcing, and demand management foundations—ensuring the right work is done by the right resource at the right cost, with predictable outcomes as the organization scales.     THE OPPORTUNITY - Serve as DRI for Legal Operations, Legal Technology, and Legal AI strategy, execution, and governance. - Own Legal’s operating model across workflows, processes, resourcing, and service delivery. - Own budget planning, forecasting, accruals, and cost modeling with Finance. - Manage legal billing and outside counsel. - Lead resourcing, capacity planning, headcount modeling, role design, and make/buy/automate decisions. - Manage the legal technology stack (CLM, matter management, AI tools, knowledge management, intake, spend management). - Enforce centralized ownership, standardization, and compliance across legal technology. - Evaluate AI tooling, drive build-vs-buy decisions, translate requirements into technical roadmaps, ensure secure deployment, measure ROI, and lead integrations. - Establish metrics, dashboards, and controls for workload, demand, spend, cycle times, efficiency, risk, and outcomes. - Design and operate intake, triage, and demand-management frameworks, including prioritization models, service tiers, SLAs, and self-service pathways. - Optimize vendor and contractor management, spend controls, billing review, performance measurement, and work allocation. - Design, implement, and adopt AI-enabled legal workflows at scale. - Evolve the Legal knowledge management strategy (playbooks, templates, decision trees, guidance) for reuse and automation. - Prioritize operational, process, and technology initiatives based on impact, risk reduction, and ROI. - Lead change management, training, and adoption for new processes, technologies, and AI systems. - Ensure compliance with regulatory, security, privacy, and compliance standards. - Maintain operational controls to reduce legal, regulatory, and model risk. - Enable attorneys to focus on legal judgment, strategy, and advisory work.     WHAT YOU BRING - 10+ years in Legal Operations, legal technology, process design, finance-adjacent operations, or operational leadership. - Experience scaling legal operations, legal technology, financial management, and data-driven execution. - Experience driving automation and AI initiatives from strategy through deployment, governance, adoption, and ROI measurement. - Understanding of legal workflows (contracts, regulatory, litigation, investigations, intake, outside counsel management) and process redesign. - Hands-on experience optimizing legal technology platforms (CLM, matter management, spend management, intake, knowledge management, AI tools). - Ability to translate requirements into technical roadmaps and operational plans. - Experience establishing metrics, dashboards, controls, and OKRs. - Communication skills to influence legal leaders, executives, and technical teams. - Experience operating in ambiguity and leading transformation in high-growth environments.     NICE TO HAVES - Experience in fintech, crypto, financial services, or regulated industries. - Background in enterprise AI governance, model risk management, or secure AI deployment. - People management experience in Legal Operations or adjacent functions. - Experience benchmarking Legal Operations practices, tooling, and cost structures against industry standards.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Role Focus: Build and deploy production-grade AI/ML and Generative AI systems, with a focus on LLMs, RAG, personalization, MLOps, and cloud infrastructure. - Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.

Location: Remote; Warsaw Workplace: Remote We are seeking an experienced Chief Financial & Legal Officer to oversee financial operations and legal affairs within a growing international business. This executive position requires a strong background in financial leadership, complemented by practical legal expertise and the ability to navigate complex commercial and regulatory environments. The role focuses on strengthening financial performance, optimizing internal operations, and establishing a reliable financial and legal framework to support long-term growth and expansion into new markets. Responsibilities: - Provide strategic direction and operational leadership across Finance, Accounting, and Legal, developing effective teams, clear accountability, and well-structured internal workflows - Oversee financial planning, budgeting, forecasting, cash flow, and performance analysis, delivering actionable insights to support executive decisions and business priorities - Develop financial models and evaluate the commercial viability of investments, partnerships, expansion opportunities, and other strategic initiatives - Modernize financial operations through process standardization, automation, reporting improvements, and ERP implementation or migration - Manage corporate and commercial legal matters, including contractual arrangements, corporate governance, licensing obligations, and regulatory compliance - Ensure appropriate oversight of tax, audit, financial controls, and legal requirements, identifying potential risks and implementing effective mitigation measures - Provide integrated financial and legal guidance on business development initiatives, international operations, and complex commercial transactions - Collaborate closely with the CEO and executive stakeholders, translating financial and legal considerations into practical recommendations that support sustainable business growth Requirements: - Demonstrated success in a senior financial leadership position, such as CFO, Finance Director, or equivalent, with substantial exposure to legal matters or direct responsibility for the Legal function - Advanced knowledge of corporate finance and FP&A, including financial modelling, budget management, forecasting, liquidity planning, and executive-level reporting - Practical understanding of corporate and commercial law, with experience handling contractual matters, international legal entities, governance requirements, and regulatory obligations - Solid expertise in taxation, audit procedures, internal financial controls, and compliance, with the ability to manage interconnected financial and legal risks - Proven involvement in financial transformation projects, particularly ERP deployment or migration, workflow optimization, and automation initiatives - Strong business judgment and the ability to evaluate commercial opportunities from financial, legal, and operational perspectives - Ability to interpret complex information, identify key implications, and provide clear recommendations to senior decision-makers - Excellent leadership, negotiation, and stakeholder management skills, with the ability to coordinate cross-functional teams and influence strategic decisions - English at Upper-Intermediate level or higher, with the ability to communicate confidently in an international business environment - Native or fluent proficiency in Ukrainian for day-to-day professional communication Would be a plus: - Professional background in iGaming, FinTech, Payments, or another internationally regulated sector - Experience establishing or scaling business operations across multiple jurisdictions - Involvement in M&A transactions, investment projects, corporate reorganizations, or complex international business arrangements What's in it for you: - Executive-level responsibility with the opportunity to shape financial and legal strategy and influence long-term business development - Exposure to international operations, diverse markets, and cross-border business challenges - A dynamic environment where new ideas and strategic initiatives can be implemented efficiently - Remote working opportunities and flexible cooperation arrangements - Opportunities for professional growth and development within an expanding international business