Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for a Senior Manager, 3P Revenue Accounting & Reporting to join our Accounting team. You will own revenue recognition, month-end close and reporting for Claude sold through our cloud service provider (CSP) channels: AWS Bedrock, Google Cloud Vertex AI and Microsoft Azure Marketplace. These channels are among the fastest-growing revenue streams at the company. They run on consumption-based, partner-reported data that changes every month.
You will be the accounting point of contact for the finance and partner teams at AWS, Google and Microsoft. Internally, you will partner with Finance, FAB, Engineering and business teams to turn partner billing feeds into accurate, auditable revenue. You will also lead the automation of a close that is still heavily manual. If you want to build the financial infrastructure behind a fast-growing AI company, come join us in our mission to build safe, beneficial AI.
Key responsibilities
Lead the revenue close for cloud service provider Marketplace within a listed company timeline.
Prepare and review revenue, revenue-share, reserve journal entries, accruals and true-ups including memos for accounting assessments and judgments.
Own balance sheet reconciliations, reserves, and the usage-to-invoice-to-cash bridge.
Perform monthly and quarterly flux analysis and prepare flux decks for leadership.
Own quarter-end deliverables, including footnote disclosures, flux commentary and presentations to leadership and Corporate Accounting.
Serve as the primary contact for external auditors.
Review the work of accountants and contractors, set the close calendar, and keep close packages complete and audit-ready.
Own monthly and quarterly 3P revenue reporting for leadership and FP&A, by partner, model, product, region and customer.
Review partner usage, invoice, disbursement and fraud reports each month, and resolve data issues before close.
Serve as the accounting point of contact for the finance, engineering and product teams and drive reporting improvements that support an on-time close.
Apply ASC 606 to 3P arrangements, including principal-vs-agent, variable consideration and reseller arrangements.
Estimate and document reserves, including credit loss (ASC 326).
Assess the accounting for new 3P products, programs and billing changes, partnering with Technical Accounting on complex judgments.
Partner with the Engineering teams to automate manual close processes, including SQL-driven workbooks, automated reconciliations and system-generated journal entries.
Own 3P SOX controls, including design, documentation, gap remediation and audit evidence.
Partner with FP&A, Treasury, AR and business teams on forecasts, cash and partner disputes.
Minimum qualifications
Have strong ASC 606 knowledge, especially principal-vs-agent, variable consideration, consideration payable to a customer, and consumption-based revenue.
Have owned a month-end close with tight deadlines and reviewed journal entries, reconciliations and flux analysis.
Have built revenue reporting from large, imperfect third-party data sets and reconciled it to the general ledger.
Have managed external partner relationships where you depended on their data, and pushed for fixes.
Have strong SQL skills (BigQuery or similar) and experience automating close workbooks or reconciliations.
Have designed or operated SOX controls and supported external audits.
Communicate clearly with accounting, finance, business and engineering teams.
Thrive in fast-paced, ambiguous environments where processes are still being built.
Preferred qualifications
Have 10+ years of progressive accounting experience, including 3+ years managing revenue accounting or close teams.
A Bachelor's degree in Accounting or Finance; CPA or equivalent (ACA, ACCA).
Big 4 audit experience combined with industry experience at a high-growth tech or SaaS company.
Experience with cloud marketplace, reseller or channel revenue (AWS Marketplace, Google Cloud Marketplace, Azure Marketplace).
Experience with usage-based and subscription revenue models.
Hands-on experience with Workday Financials, NetSuite, Numeric, Hex or similar close and reporting tools.
Experience with IPO readiness.
Experience using AI tools to automate accounting and reporting work.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$190,000
—
$230,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: AU: Sydney (45 Clarence St)
Workplace: Hybrid
The role & impact
As an Engineering Manager in our Machine Learning & AI team, you'll lead a high-performing, inclusive team of engineers building and operating AI-powered experiences and capabilities across Xero. The team's work spans traditional machine learning, from predictive models and intelligent automation through to LLM-powered and agentic AI experiences that bring new ways for customers to interact with and get value from Xero.
- You'll lead engineering across a broad range of technology surfaces, from customer-facing AI experiences and intelligent product workflows to the backend services, platforms and infrastructure that power them. You'll help turn research, models and emerging AI capabilities into reliable, secure and scalable production products that make a real difference for millions of small businesses.
- You'll balance predictable delivery with a relentless focus on engineering quality and system health, building our maturity across MLOps, LLMOps, observability, evaluation and the operational practices needed to run AI systems in production. As AI continues to evolve, you'll also champion AI-native engineering practices and help your team adapt how we design, build, test and operate software.
- Working closely with senior individual contributors, including staff and principal engineers, you'll help shape technical direction while focusing on team growth, delivery excellence and sustainable engineering practices. This is a role for someone who wants to build both the systems and the people that enable Xero to deliver AI-powered products at scale.
The team & how they connect
You'll join Xero's Data & AI organisation, within the AI Products division, reporting to the GM of ML Engineering. The team partners closely with Applied Science, Data Engineering, Product and other engineering teams to bring AI capabilities from research and experimentation into production.
Our scope goes beyond building and serving models. We build the end-to-end engineering capabilities that bring AI to life in Xero's products, spanning traditional ML-powered automation and predictions, conversational AI assistants, LLM-powered workflows and agentic experiences. This means working across the full stack, integrating AI into customer experiences and product workflows while building the front end & backend services, platforms and infrastructure needed to make those experiences safe, reliable and scalable.
It's a collaborative, evolving space where you'll help translate advances in ML and generative AI into practical customer outcomes, while building the engineering foundations to support the next generation of AI-native products.
The team is currently working on
- Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production.
- JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences.
- Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks.
- XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale.
- End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work.
Where and how you can work
We support a flexible working model that empowers you to balance your professional and personal life. You'll have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment.
Here are some of the things we're looking for, for this role
- You'll bring a strong track record of leading, coaching and developing engineers, building team capability and creating an environment where people can do their best work.
- You have strong technical judgement across architecture, system design and engineering trade-offs, and can guide decisions across a broad and evolving technology landscape.
- You've translated business goals into executable engineering plans, balancing near-term delivery with long-term technical health and maintainability.
- You're experienced in delivering roadmaps predictably in fast-paced, evolving environments, navigating ambiguity and adapting as priorities and technology change.
- You understand what it takes to build and operate production-grade software, from customer-facing experiences and backend services through to distributed systems, platforms and infrastructure.
- You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team, support an incident or help resolve a complex technical challenge.
- Experience with machine learning, generative AI or AI-powered products is a bonus rather than a requirement. You don't need to be an ML specialist, but genuine curiosity about the space and an appetite to learn how these technologies are changing software engineering will help you thrive here.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: Spain; United Kingdom; Greece; Portugal; Bulgaria; Germany
RealAdvisor
es una de las principales plataformas digitales del sector inmobiliario en Europa. Fundada en Suiza, actualmente colaboramos con más de
5.000 agencias inmobiliarias
y recibimos más de
10 millones de usuarios al año
en distintos mercados europeos.
Estamos creciendo rápidamente con una misión clara: ayudar a los profesionales del sector inmobiliario a hacer crecer su negocio mediante datos, transparencia y tecnología inteligente. En RealAdvisor valoramos la responsabilidad, la autonomía y la capacidad de generar un impacto real.
Tipo de colaboración
Colaboración como freelance.
Es necesario ser autónomo (o estar dispuesto a darse de alta como autónomo, según la normativa de su país).
Lo que ofrecemos
Colaboración estable y a largo plazo.
Remuneración compuesta por una parte fija de aproximadamente
4.000 € mensuales
, más una parte variable de hasta
4.000 € mensuales
vinculada al rendimiento del equipo.
Un equipo comercial ya estructurado y en crecimiento.
Procesos comerciales, herramientas y metodología ya definidos.
Apoyo continuo por parte de un equipo internacional.
Posibilidades reales de crecimiento hacia posiciones de mayor responsabilidad dentro de la empresa.
Buscamos un líder con mentalidad emprendedora, capaz de desarrollar el talento del equipo, impulsar el rendimiento comercial y garantizar el cumplimiento de los objetivos del mercado español.
Principales responsabilidades
Liderar, motivar y desarrollar el equipo de ventas del mercado español.
Realizar sesiones de coaching, formación y acompañamiento continuo a los comerciales.
Supervisar el rendimiento del equipo mediante KPIs y métricas comerciales.
Definir planes de acción para mejorar la productividad y las tasas de conversión.
Revisar llamadas, demos y procesos comerciales para identificar oportunidades de mejora.
Colaborar estrechamente con los equipos de SDR, Marketing y Customer Success para optimizar el embudo comercial.
Garantizar la correcta utilización del CRM y el cumplimiento de los procesos internos.
Participar en la contratación, incorporación y desarrollo de nuevos miembros del equipo comercial.
Reportar resultados, previsiones y oportunidades de mejora a la dirección comercial.
Fomentar una cultura de alto rendimiento, responsabilidad y colaboración.
Este puesto
no requiere realizar ventas de forma directa
. El objetivo principal es liderar al equipo comercial, mejorar su desempeño y asegurar el cumplimiento de los objetivos de negocio en el mercado español.
Requirements
Experiencia demostrable liderando equipos comerciales B2B.
Experiencia en gestión, formación y desarrollo de equipos de ventas.
Fuerte orientación a resultados y al cumplimiento de objetivos.
Capacidad para analizar KPIs comerciales e implementar planes de mejora.
Excelentes habilidades de liderazgo, comunicación y motivación de equipos.
Capacidad de organización y trabajo autónomo.
Mentalidad emprendedora y enfoque orientado al crecimiento.
Experiencia utilizando CRM (Salesforce, HubSpot, Zoho o plataformas similares).
Español nativo o equivalente, con excelente comunicación para el mercado español.
Se valorará experiencia en los sectores inmobiliario, proptech o SaaS B2B.
Experiencia trabajando con equipos remotos será considerada un plus.
Benefits
Remuneración compuesta por una parte fija de aproximadamente 4.000 € mensuales
, más una
parte variable de hasta 4.000 € mensuales
, vinculada al rendimiento y a los resultados del equipo comercial.
Excelente potencial de ingresos
para perfiles con sólida experiencia en liderazgo de equipos de ventas y orientación a resultados.
Location: Barcelona, Spain; Warsaw, Poland; Limassol, Cyprus
Join COLIBRIX ONE – Innovating the Future of Payments
At
COLIBRIX ONE*
, we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include:
Global card processing
Digital wallet infrastructure
Cross-border merchant accounts
Alternative payment methods (APMs)
Corporate accounts for legal entities
We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech.
At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you.
About the Role
We are looking for a detail-oriented Accounting Specialist to join our Finance team. In this role, you will be responsible for bank reconciliations, processing supplier invoices, resolving discrepancies, and supporting month-end closing activities. You'll help ensure accurate financial records and smooth day-to-day accounting operations.
Key Responsibilities
Bank reconciliation
Import bank statements and reconcile all company bank accounts to the general ledger on a daily or weekly basis.
Investigate and resolve unmatched transactions, suspense items and discrepancies, posting corrections with proper support.
Monitor ageing of open items and escalate anything unresolved after 10 days.
Accounts payable and invoice processing
Receive supplier invoices from all channels and register them accurately in the ERP.
Check each invoice for correct legal entity, VAT details, amounts, bank details and potential duplicates.
Route invoices to budget holders for approval and follow up on delayed approvals.
Reconcile supplier statements and resolve differences.
Respond promptly and professionally to supplier queries on invoices and payments.
Month-end procedure
Support the month-end close with AP accruals, reconciliations and schedules.
Provide documentation for internal and external audits.
Requirements
Degree in accounting, finance or economics (completed or currently in progress), or an equivalent professional qualification.
At least 1.5 years of experience in bank reconciliation, accounts payable or general accounting.
Solid understanding of double-entry bookkeeping, VAT and invoice compliance rules.
Hands-on experience with an ERP or accounting system.
Exceptional attention to detail and a persistent, analytical approach to resolving discrepancies.
Ability to manage a high volume of transactions and meet deadlines.
Fluent in English and Russian (proficiency in additional languages is considered an asset).
What We Offer
Opportunity to shape the future of fintech solutions within a growing company.
A collaborative and supportive team environment.
English / Spanish classes.
Opportunity to receive reimbursement for work-related training/courses.
* This position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.
Location: New York; San Francisco Bay Area, California; Connecticut
Workplace: hybrid
Provectus is a Premier AWS Partner and an Anthropic Strategic Partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Insurance, Healthcare and Life Sciences, Retail, and Entertainment. We build custom generative AI and agentic AI systems on live client data, not off the shelf products and not demos.
We are hiring a Senior Solution/Product Owner for our AI Delivery practice, a forward deployed seat at the intersection of frontier AI and enterprise transformation. You will own both the story and the delivery for client engagements built on Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation. In one week you might frame an ROI case for a CFO, align a healthcare or financial services stakeholder on a compliant GenAI rollout, and pair with a Forward Deployed Engineer to wire an MCP integration or ship a Claude Code harness.
What You Will Do:
Own client engagements end to end, from use case framing and business case through scoped delivery, first deployment, and measurable results
Define the value proposition, positioning, and reusable artifacts for your assigned Program or Blueprint, and align sales, delivery, and account teams around them
Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped statements of work
Run discovery, use case validation, design thinking workshops, and user research, and turn findings into demos and production deployments
Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data, driving rapid prototyping from use case to context to result
Build hands on with the Provectus delivery stack, including Claude, Claude Code, MCP servers, connectors, Skills, and plugins
Define product vision and roadmap for GenAI, LLM, RAG, and agentic AI engagements, and judge solution quality alongside architects and engineers
Break complex work into incremental releases, and balance delivery speed against technical debt and architecture
Lead Agile and Scrum execution across backlog, sprint planning, and release, following our Sprint, Enable, Realize engagement model
Define success metrics and analytics, and drive continuous improvement through root cause analysis
Contribute to the measurement framework behind our board level AI Maturity Index, ROI signal, and cost read
Support change management, stakeholder alignment, enablement, and reusable playbooks so wins repeat across accounts
What You Will Bring:
5 to 7+ years in product ownership, solution ownership, technical product management, or delivery leadership
3 to 5+ years working with AI/ML, generative AI, LLM applications, agentic systems, or data platforms
Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context
Track record operating forward deployed or embedded with clients, as a Forward Deployed Engineer or Forward Deployed Expert, including hands on prototyping
Proven ability to take an offering, program, or product from zero to one and land it as real client delivery
Daily working use of Claude, Claude Code, and similar GenAI tools, including building your own skills, workflows, and productivity tooling
Comfort with MCP (Model Context Protocol) integrations, connectors, and custom agent harnesses
Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks, deep enough to assess quality and translate it for executive stakeholders
Data fundamentals: what ETL/ELT, data modeling, and data governance mean in an enterprise context
Familiarity with AWS as a primary cloud platform, including Bedrock, and working awareness of MLOps and AI observability
Strong Agile and Scrum experience, and familiarity with outcome based, milestone priced consulting engagements
Design thinking, data driven decision making, and executive storytelling that holds up in front of a CFO or CIO
Enough engineering empathy to earn credibility with senior engineers and solutions architects on day one
Bias to action and structured problem solving in ambiguity
Based in the San Francisco Bay Area or New York City metro area, and authorized to work in the US without sponsorship
Nice To Have:
A second priority vertical beyond your primary Financial Services or Healthcare focus
Prior experience in an AWS Premier Partner or Anthropic partner environment
Claude Certified Architect, Seller, or Developer certification, or willingness to complete one early
Certifications such as CSPO, SAFe PO/PM, or AWS, Azure, or GCP
Software development or solutions engineering background
What We Offer:
Base salary range of $140,000 to $180,000 USD depending on experience
Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
The chance to shape how leading enterprises adopt AI, from strategy through first deployment
A forward deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Health, dental, vision, and 401(k) with company match
Unlimited PTO
Access to the latest AI tools and premium subscriptions
Internal training programs with full support for AWS and Claude certifications
Hybrid work in San Francisco or New York
Location: United States, San Diego, 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.
The
Senior People Technology Solutions Lead
is a senior individual contributor responsible for advancing the technology capabilities that support SIE's global People organization. Grounded in People Technology and enterprise HR systems, this role combines a strong understanding of HR processes, platforms, data, integrations, and employee experiences with expertise in emerging technologies such as generative AI, AI agents, agentic orchestration, APIs, Model Context Protocol (MCP), automation, and AI-assisted development.
Reporting to the Senior Director of People Technology Services, this role serves as a technical practice lead for innovation within PTS. The Principal Platform Engineer works across HRIS, integrations, reporting and analytics, service delivery, and other People Technology areas to identify opportunities, establish technical direction, develop use cases, and turn emerging capabilities into practical solutions.
Success requires strong partnership across organizational boundaries. The role works closely with People & Places as PTS's key business stakeholder, understanding priorities and identifying opportunities where technology can improve employee experience, service delivery, efficiency, and insight. At the same time, the role connects PTS with the broader IT strategy and enterprise technology capabilities in areas such as AI and agents, service management, low-code development, data, integration, security, and architecture.
This is a hands-on senior technical role as well as an influential one. The Principal Platform Engineer operates with a strong bias for action, using Agile and iterative approaches to quickly turn ideas into learning and business value. Depending on the problem, that may mean developing a technical position or white paper, rapidly building a prototype or proof of concept, or incrementally evolving a solution toward production. The emphasis is on testing ideas early, learning from evidence, and continuously refining the approach while helping colleagues across PTS build the skills and confidence to use emerging technologies effectively.
Key Responsibilities
People Technology Strategy & Innovation
Serve as a technical practice lead for emerging technology within PTS, helping establish direction for the practical and responsible adoption of AI, automation, orchestration, application extension, and other new capabilities.
Apply broad knowledge of HR technology, HR processes, workforce data, integrations, reporting, security, and service delivery when identifying opportunities and shaping solutions.
Translate developments in enterprise technology, vendor roadmaps, and internal capabilities into practical People Technology use cases, technical positions, and actionable recommendations.
Identify opportunities across PTS where technology can reduce repetitive operational work, improve quality and employee experience, increase insight, or enable the team to focus greater capacity on higher-value activities.
Establish reusable approaches and solution patterns that allow successful ideas to scale across PTS rather than remaining isolated experiments.
AI, Automation & Agile Solution Delivery
Provide hands-on technical leadership for solutions using generative AI, AI agents, agentic workflows, APIs, MCP, workflow orchestration, automation, Codex, low-code technologies, and other emerging capabilities.
Use rapid prototyping and iterative delivery to test assumptions, demonstrate possibilities, gather feedback, and reduce uncertainty before committing to larger investments.
Break complex opportunities into smaller, testable increments that can demonstrate value quickly and inform subsequent decisions and development.
Lead technical design for complex or cross-platform solutions, evaluating build, buy, extend, integrate, automate, and orchestrate options based on business value, feasibility, architecture, security, user experience, and sustainability.
Apply appropriate AI patterns including grounding and retrieval, context management, tool calling, structured outputs, evaluation, guardrails, observability, and human oversight.
Lead or contribute directly to prototypes, proofs of concept, and production implementations, remaining sufficiently hands-on to validate ideas and solve difficult technical problems.
Use evidence from prototypes, experiments, and delivered capabilities to determine whether to iterate, scale, change direction, or stop.
Partnership & Enterprise Collaboration
Partner with
People & Places
leaders and teams to understand priorities, challenges, and opportunities and translate them into potential technology-enabled outcomes.
Connect PTS strategy and use cases with the broader
IT technology strategy
, identifying where enterprise platforms and shared capabilities can accelerate or improve People Technology solutions.
Collaborate with teams responsible for capabilities such as enterprise service management and employee-service experiences (e.g., ServiceNow), AI agents and conversational experiences (e.g., Moveworks), low-code development and workflow automation (e.g., Microsoft Power Platform), enterprise AI platforms, data, integration, security, and architecture.
Act as a boundary spanner across business and technology organizations, bringing together the appropriate expertise and capabilities to address opportunities that cross organizational or platform boundaries.
Represent the particular needs of People Technology, including sensitive workforce data, complex HR processes, employee experience, and regulatory considerations, while promoting reuse of enterprise capabilities and alignment with broader technology standards.
Influence, Adoption & Practice Development
Establish a clear technical point of view through recommendations, white papers, presentations, prototypes, and well-led discussions that result in decisions and action.
Bring structure and direction to complex technology discussions, clearly communicating options and tradeoffs and adapting technical detail to the audience and decision required.
Build adoption of new tools and approaches across PTS through demonstrations, coaching, reusable examples, documentation, mentoring, and hands-on collaboration.
Mentor team members and increase broader PTS capability in AI, automation, APIs, orchestration, solution design, and modern technology practices.
Act as an agent of change, helping colleagues understand why new approaches matter, demonstrating their value through practical application, and supporting adoption as successful capabilities become part of everyday delivery.
Ensure solutions meet SIE expectations for architecture, security, privacy, data protection, responsible AI, auditability, human oversight, and production support.
Measure success not only through individual delivery, but through adoption, reusable capability, measurable business outcomes, reduced operational effort, and increased capacity for higher-value work.
Required Qualifications
10+ years of experience across enterprise technology, application development, automation, HR technology, digital transformation, platform development, or technology consulting, with significant experience delivering complex technology solutions.
Demonstrated hands-on experience designing and delivering solutions using generative AI, automation, APIs, integrations, workflow technologies, or modern application-development approaches.
Demonstrated experience taking emerging technology from concept or proof of value through iterative development, production implementation, adoption, and ongoing operation.
Strong practical understanding of generative AI and agentic architectures, including agents, orchestration, grounding and retrieval, tool use, APIs, evaluation, guardrails, human oversight, and production considerations.
Experience leading complex technical initiatives that span systems, teams, or organizational boundaries and influencing outcomes without relying on direct management authority.
Demonstrated ability to evaluate technology options, establish a clear point of view, and translate that thinking into recommendations, technical positions, prototypes, designs, or delivered solutions.
Working knowledge of enterprise HR technology and HRIS concepts, including workforce data, business processes, integrations, reporting, security, and handling sensitive employee information.
Demonstrated experience using Agile and iterative development approaches, including rapid prototyping and experimentation, to reduce uncertainty and progressively deliver business value.
Strong communication and facilitation skills, with the ability to explain complex technology to technical, business, and leadership audiences and drive discussions toward decisions and outcomes.
Demonstrated ability to mentor others, share expertise, and increase technical capability beyond one's own individual contribution.
Preferred Qualifications
Experience working in People Technology, HR Technology, or HRIS within a complex global enterprise environment.
Experience with enterprise architecture, API ecosystems, cloud services, integration platforms, RAG, vector search, observability, or AI evaluation frameworks.
Experience with Workday HCM, Workday integrations, Workday APIs, Workday Orchestrate, Workday Extend, or comparable enterprise HR platforms and extension capabilities.
Experience developing AI agents, multi-step agentic workflows, or enterprise orchestration solutions.
Experience with Model Context Protocol (MCP) or comparable approaches for securely connecting AI models and agents with enterprise tools and information.
Experience with AI-assisted software development and coding agents (e.g., Codex).
Experience with enterprise service management and workflow platforms (e.g., ServiceNow).
Experience with enterprise AI agent or conversational platforms (e.g., Moveworks).
Experience with low-code application development and workflow automation platforms (e.g., Microsoft Power Apps and Power Automate).
Experience applying security, privacy, responsible AI, data governance, monitoring, or evaluation controls to enterprise AI and automation solutions.
Profile
The successful candidate will:
Be a boundary-spanning technical leader
who connects People Technology priorities with capabilities and expertise across the organization and influences outcomes through credibility rather than formal authority.
Maintain a strong bias for action and learning
, using rapid experimentation and iterative delivery to create momentum and learn from evidence while applying appropriate rigor based on risk and complexity.
Remain hands-on
, moving comfortably between technical strategy and practical execution, including prototypes, solution design, architecture, and difficult technical problems.
Build a practice, not a dependency
, increasing the ability of others to identify opportunities and use emerging technologies rather than becoming the person who must personally own every innovative solution.
Turn knowledge into influence and action
through clear recommendations, white papers, presentations, prototypes, experimentation, and disciplined discussions that lead to decisions and delivery.
Be technology curious, but not technology led
, embracing AI, agents, Codex, MCP, APIs, orchestration, low-code platforms, and emerging technologies while beginning with the problem and desired outcome.
Understand People Technology
, recognizing the intersection of complex HR processes, sensitive workforce data, employee experience, integrations, controls, and global requirements.
Be a multiplier
, with impact demonstrated through both personal delivery and increased capability, productivity, innovation, and insight across PTS.
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.
$169,400
—
$254,000 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 (where applicable) 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: Paris
Workplace: Hybrid
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.
ABOUT THE JOB
Mistral builds AI systems that enterprises run on their own terms, in finance, manufacturing, defense, healthcare, and the public sector. The Solution organization turns customers' hardest problems into AI they own, run, and scale on Mistral. It is one of the fastest-growing functions in the company: 650 people by end of 2026, across EMEA, the US, and Asia-Pacific, delivering measurable business outcomes for enterprise customers worldwide.
The Solution organization includes Deployment Strategists, Applied AI Engineers, Infrastructure Solution Architects, and Applied Scientists. They work with enterprise customers from pre-sales through implementation and deliver AI systems that produce measurable business outcomes.
Solution Operations is the function that makes this scale. It runs staffing and capacity planning across regions, the go-to-market motion by industry vertical and capability, delivery processes and tooling, the data behind our decisions, and value and customer-success measurement, with hubs in Europe, North America, and Asia-Pacific.
We are hiring a Head of Solution Operations. We are looking for an entrepreneurial COO or a former Forward Deployed Engineer with years of experience. This is a build-the-1-to-10 role: you will take a young, fast-growing function and turn it into the operating system that lets Solution scale from hundreds to thousands of people without losing what makes it work. You will lead a team of program leads and regional operators across three continents, and work as a business partner to Solutions leadership.
WHAT YOU WILL DO
- Own the Solution operating system end to end. One process from pre-sales to post-sales, a single source of truth for people, projects, and opportunities, the Solution tooling stack, and safety, security, and compliance built into how the team works.
- Industrialize what already works. Turn delivery and vertical playbooks, staffing frameworks, and the value and ROI methodology into reusable assets the whole team runs on, and drive their adoption in every geography.
- Build the global operating model. Keep core operations centralized while ensuring real adoption and the right local adaptation across EMEA, the US, and Asia-Pacific, with full-stack regional operators on the ground.
- Staff demanding customer engagements. Own capacity planning and forecasting, skills-to-project matching, time-to-staff, utilization, and bench health across all geographies.
- Make customer success measurable. Stand up delivery-outcome measurement and customer-satisfaction systems, and run the feedback loop that turns field learnings into product requirements and reusable IP.
- Make AI-native operations the default. Build internal tools, agents, and automations that remove manual work from planning, staffing, reporting, and delivery follow-ups, starting with your own team.
- Lead and grow the team. Hire, mentor, and develop program leads and regional operators, raise the technical bar of the function, and build the hiring plan for its next phase.
- Partner across functions. Work daily with Solution leadership, regional Sales leadership, Product and Engineering, RevOps, and Talent Acquisition, and bring executive judgment on where to invest, slow down, or say no.
HOW WE WORK IN SOLUTION
- We care about people and outputs. What matters is what you ship.
- The best idea wins, whether it comes from a principal engineer or someone in their first week.
- Always ask why. The best solutions come from deep understanding, not copying what worked before.
- We say what we mean. Feedback is direct and given because we care. No politics. Low ego, high standards.
- We embrace an unstructured environment and find joy in it.
ABOUT YOU
Whatever your path, you bring:
- Extensive leadership experience, with demonstrated impact building and leading teams or functions in a fast-scaling environment.
- A track record of industrializing something handcrafted but working: processes, systems, and teams that scaled an order of magnitude without losing what made them work.
- The ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. You are hands-on and biased toward action.
- Data-driven and AI-fluent: you build the internal tools, automations, dashboards, and AI workflows you rely on.
- Global operating range: you work naturally across geographies and cultures, with the executive presence to hold a room with C-level stakeholders and the credibility to challenge senior leaders.
- Stakeholder management: you align competing priorities and drive decisions without formal authority.
- Fluent in English; additional languages are a plus.
IDEALLY
- Experience in enterprise software, AI, or deep-tech delivery, or top-tier strategy consulting on complex technical transformations.
- Experience operating at global scale across EMEA, the US, and Asia-Pacific.
- Hands-on experience building AI-native operations: automating workflows with LLMs and agents rather than prompting a chatbot.
- MBA or advanced degree preferred.
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: Barcelona, Spain; Limassol, Cyprus
Join COLIBRIX ONE – Innovating the Future of Payments
At COLIBRIX ONE*, we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include:
Global card processing
Digital wallet infrastructure
Cross-border merchant accounts
Alternative payment methods (APMs)
Corporate accounts for legal entities
We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech.
At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you.
Role Overview
As a Partnership Specialist at Colibrix One, you will support and manage our relationships with partners across the fintech ecosystem. You’ll handle daily communication, assist with operations and integrations, and make sure partners have everything they need to work effectively with us.
Key Responsibilities
Maintain strong, ongoing relationships with partners
Work closely with partners to ensure smooth daily operations
Oversee the technical processes involved in partner integration
Monitor and improve key metrics (e.g., conversion rate) and report progress to senior management
Identify opportunities to expand cooperation through upselling and cross-selling
Collaborate with internal teams daily to manage partner-related operations
Keen to explore product acquisition and gain a clear understanding of the payment flow
Represent the company at events and contribute to attracting new partners
Requirements
Technical understanding of how payment systems work, including payment flows and acquiring in general
Experience in B2B partnerships within fintech, ideally with acquirers or PSPs
Understanding of high-risk industries (gambling, crypto, etc.)
Strong negotiation and relationship-building skills
Proven ability to manage complex partner accounts and operations with attention to detail
Proactive, responsible, and able to work independently as well as collaboratively
Strong organizational and system-thinking skills
Fluent in English and Russian (proficiency in additional languages is considered an asset)
What We Offer
Opportunity to shape the future of fintech solutions within a growing international company
Collaborative and transparent team culture that values your expertise and ideas
Continuous professional growth and development opportunities
Competitive compensation and benefits package
* Employment will be offered through one of the group’s legal entities - Mellifera Kartiera Ltd, Colibrix Ltd, or Mellifera Operations Ltd - depending on the role, location, and applicable legal framework.
Please note that COLIBRIX ONE is a brand representing a group of legal entities. The employment contract will be signed with the relevant company within the group (Mellifera Kartiera Ltd, Colibrix Ltd, or Mellifera Operations Ltd) depending on the nature of the position and jurisdiction
This position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
Engagement Management is a new and fast-growing practice at ClickUp, and it's quickly becoming central to how we serve our enterprise customers. Our EMs bring program leadership, service delivery and change management together in one role. As a ClickUp Senior Engagement Manager you will lead the formation and orchestration of post-sale strategy and execution for the company’s largest and most strategic clients. We're looking for someone hungry, who excels in building, and who takes genuine pride in the quality of their work.
Here, Engagement Managers are the single point of accountability for outcomes. You own everything between the contract being signed and the client seeing measurable results: what was sold gets delivered, on time and on margin, and we can prove it worked.
You'll lead enterprise SaaS implementations across the full engagement lifecycle, from shaping scope in pre-sales, mobilizing the team and delivery, go-live, stabilization and a clean handover to the account team. You'll run work-stream programs with Paid TAMs, AI specialists, Product and Engineering, and the client's own project team, and you'll be the trusted advisor to the client's executive sponsor.
Simply put: you are the single point of accountability for delivery, the client's partner in getting value from ClickUp, and a thought leader for how we deliver.
YOUR ROLE
- Stakeholder Management
- Serve as the primary client contact for delivery
- Build strong relationships with stakeholders while ensuring delivery remains aligned to client objectives and contractual commitments.
- Build trusted relationships with client executive sponsors and program leads at VP and C-level, acting as their primary point of contact for delivery.
- Navigate complex enterprise stakeholder environments and competing priorities across client functions (IT, PMO, business sponsors, procurement) and broker alignment when they conflict.
- Project Delivery Oversight
- Deliver engagements against agreed scope, schedule, hours budget and quality, using rigorous change control to protect timelines and delivery margin.
- Translate customer business requirements into internal deliverables and milestones
- Own engagement governance, including kickoffs, weekly working sessions, sponsor check-ins and SteerCos, and provide clear, concise status reporting to clients and internal stakeholders.
- Lead and coordinate multidisciplinary teams, fostering a collaborative, accountable and high-performing delivery culture while providing coaching, direction and support.
- Proactively manage risks, issues and dependencies through the RAID log, and act as the primary escalation point.
- Manage engagement financials, including hours burn, forecasting, utilisation and margin, flagging overrun risk early and agreeing recovery plans.
- Drive AI adoption
- Guide clients from manual workflows to AI-assisted and agent-driven operations, and own post-go-live adoption outcomes.
- Drive Value and Business Outcomes
- Identify expansion opportunities through delivery and co-sell with Account Executives, bringing the delivery credibility that secures follow-on work.
- Establish a value baseline before configuration begins, track benefits through go-live, and produce the value assessment that underpins renewal and expansion.
- Governance
- Design and run governance mechanisms
- Track delivery efficacy, timelines, value realization and customer experience
- Create continuous-improvement mechanisms
- Change Management & Communication
- Own communications around delivery status, risks and outcomes
- Manage escalation and communication across customer/internal teams
- Assess change readiness and resistance across impacted teams; build sponsor and champion networks to carry the rollout.
- Design the communications and enablement plan with the client, and sequence go-live to match the organization's capacity for change.
- Role Development
- Contribute to building the Engagement Management practice by iterating on templates, playbooks and AI workflows that make every engagement faster and more consistent.
YOUR SKILLS AND EXPERIENCE
- 5+ years of software and/or services delivery experience, with at least 2 years as the accountable project, program or engagement lead.
- Proven track record taking enterprise SaaS deployments from kickoff through go-live and into adoption, ideally in work management, PSA, CRM, ITSM or collaboration platforms.
- Strong grasp of SaaS implementation fundamentals: workspace and data architecture, permissions and SSO, integrations, data migration, change management and enablement. No coding required, but you can challenge an unrealistic technical scope.
- Comfortable with Agile, Waterfall and hybrid delivery, and knowing which one the client actually needs.
- Commercial acumen: you've managed engagement budgets, SoWs, change requests and margin, and you know when to push for expansion vs when to stabilize.
- Executive presence: you can run a SteerCo, deliver bad news early with a recovery plan, and hold a line on scope with a CIO in the room.
- Experience leading cross-functional and distributed teams you don't directly manage, across client, partner and internal resources.
- Strategic judgment to separate genuine product gaps from client process or training gaps.
- Hands-on with AI: you already use AI to work faster, and you can credibly advise clients on where agents and automation fit.
- Excellent written and verbal communication. Status reports people actually read.
Nice to have: Experience in work management or SaaS software, professional services firms, agencies or regulated industries. PMP Certification.
WHAT YOU'LL LOVE ABOUT WORKING HERE
- Impact: Lead high-visibility enterprise engagements with global brands, and see the result in their day-to-day work.
- Build something: Engagement Management is a new function. You'll help define the methodology, tooling and AI workflows that become the standard.
- AI at the centre: Work on the frontier of AI-driven work management, with ClickUp Brain and Super Agents in your own delivery toolkit.
- Career growth: A clear path from Engagement Manager to Senior or Principal Engagement Manager.
- Community: Learn alongside Paid TAMs, AI specialists and delivery leaders across EMEA and NA.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: San Francisco, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Senior Engineer you will design, build, and operate:
- AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
- Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker.
_______________________________________________________________________
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn.
_______________________________________________________________________
RESPONSIBILITIES
BUILDING AND OPERATING AI DEVELOPER TOOLS
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards
- Build systems that help Docker's engineers adopt AI-native development tools
- Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction
SELF-SERVICE PLATFORM
- Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster
- Help reduce time-to-production for new products from weeks to days
- Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response
DESIGN AND DELIVERY
- Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions
- Write clear design documents for the work you own, and participate in design reviews for the team
- Review code thoroughly and share what you learn with the rest of the team
- Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier
- Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship
COLLABORATION AND GROWTH
- Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work
- Partner with Infrastructure, Security, and Data teams on integrations and shared standards
- Help newer engineers get up to speed on the team's tools, patterns, and practices
- Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 6+ years of software engineering experience building and operating production systems
- Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Experience building and operating scalable backend services, distributed systems, or developer-facing platforms
- Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience building developer tools, platform systems, or internal tools that other engineers rely on
- Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design
- Clear written and spoken communication suited to a remote, async-first company
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- Comfortable working autonomously in a distributed, remote-first team
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in developer productivity, DevOps, SRE, or platform engineering
- Contributions to open source AI tools, developer tooling, or platform engineering projects
- Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability
- Familiarity with security and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far
- Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering
- Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Shadow on-call and learn the operational profile of the team's services
FIRST 90 DAYS
- Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant
- Write the design document for work you own and take part in team design reviews
- Contribute to the self-service platform's deployment pipeline, observability integration, or security controls
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be a go-to engineer for one or more of the team's AI tools or platform components
- Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to
- Have helped teams outside AI Developer Tools build and run their own tools on the platform
- Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $160,900 – $260,700 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Staff Engineer you will own the technical design and delivery for two areas:
- AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
- Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker.
_______________________________________________________________________
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team.
_______________________________________________________________________
RESPONSIBILITIES
TECHNICAL LEADERSHIP AND ARCHITECTURE
- Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap
- Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions
- Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt
- Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
- Design reliable, scalable infrastructure for hosting AI agents and developer tools
- Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit
- Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals
SYSTEMS DESIGN AND IMPLEMENTATION
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days
- Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization
- Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management
- Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling
STRATEGIC IMPACT AND INNOVATION
- Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build
- Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction
- Improve AI tool performance, cost efficiency, and developer experience through architectural improvements
- Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them
- Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards
LEADERSHIP AND MENTORSHIP
- Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices
- Lead design reviews and raise the quality of design and code reviews across the team
- Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on
- Help the team turn good individual AI-assisted engineering practice into shared workflows and controls
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale
- Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Track record of designing and building scalable distributed systems and developer-facing platforms
- Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience designing developer tools, platform systems, or internal tools that other teams rely on
- Track record of clarifying requirements and constraints with stakeholders before committing to a design
- Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority
- Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs
- Clear written and spoken communication suited to a remote, async-first company
- Track record of mentoring other experienced engineers
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in developer productivity, DevOps, SRE, or platform engineering
- Contributions to open source AI tools, developer tooling, or platform engineering projects
- Experience evolving an internal platform or tool into a widely adopted, production-grade service
- Knowledge of security, compliance, and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date
- Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Get hands-on with the team's services and ship a useful production change
- Shadow on-call and learn the operational profile of the team's services
- Work with the Senior Manager to agree on initial technical priorities
FIRST 90 DAYS
- Lead the technical framing and delivery plan for one significant problem, from requirements through to production
- Document the architecture, technology choices, and integration patterns for that work, including ADRs
- Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant)
- Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management
- Lead design reviews for your area of the roadmap and begin mentoring other engineers
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker
- Deliver at least one material outcome that spans multiple teams or systems
- Have multiple production AI tools demonstrating value across Docker's engineering organization
- Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction
- Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact
- Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $170,350 – $275,550 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Dubai, United Arab Emirates; Monaco; London, United Kingdom
1. ROLE PURPOSE
The Female Travelling Butler / Lifestyle Manager provides discreet, highly personalised service to the Principal, both at home in the UAE and while travelling internationally. The role combines the skills of a professional butler, personal assistant and lifestyle manager to ensure the Principal's daily life, travel, wardrobe, social engagements and personal requirements are managed seamlessly and to the highest standard.
The jobholder acts as the Principal's trusted right hand, anticipating needs before they arise, coordinating with household staff, the yacht and aviation teams, and external service providers, and always maintaining absolute confidentiality.
2. GENDER REQUIREMENT
This position is open to female candidates only. The jobholder will serve a female Principal in a close personal capacity, including attending to her in private quarters, dressing rooms, hotel suites and other private settings at home and abroad. A female jobholder is therefore a genuine and essential requirement of the role, consistent with the family's cultural and religious values and the Principal's privacy.
3. KEY RESPONSIBILITIES
3.1 Personal Butler Service
• Provide attentive, discreet personal service to the Principal at the residence, on the yacht, in hotels and in other private settings.
• Manage the Principal's wardrobe, including care of designer garments, accessories, shoes and jewellery, seasonal rotation, alterations, laundry and dry cleaning.
• Pack and unpack for all trips, with detailed packing lists and outfit planning for each event and destination.
• Prepare personal spaces to the Principal's preferences, including room set-up, flowers, amenities, beverages and temperature.
• Maintain an up-to-date preference profile covering food, beverages, products, brands, dress, routines, allergies and dislikes.
3.2 Travel Management
• Accompany the Principal on international and domestic travel as her primary personal attendant.
• Plan and coordinate all aspects of travel with the Private Office, aviation and yacht teams, including private jet and commercial flights, transfers, hotels, villas and security arrangements.
• Advance-prepare destinations where needed, including checking accommodation, arranging set-up and confirming local suppliers, drivers and restaurants.
• Manage travel documents, visas, itineraries, travel insurance and local contact lists, and be available on call during travel.
3.3 Lifestyle and Concierge Management
• Manage the Principal's personal diary, appointments and reminders, including beauty, wellness, fashion, medical and social appointments.
• Arrange restaurant reservations, private shopping appointments, fittings, events, cultural and leisure activities, both in the UAE and abroad.
• Source and procure luxury goods, gifts and personal items, and manage gifting for family, friends and special occasions.
• Build and maintain relationships with luxury brands, personal shoppers, concierge services, hotels and exclusive service providers.
3.4 Household and Staff Coordination
• Liaise with the house manager, housekeeping, chefs, drivers, security and yacht crew to ensure the Principal's requirements are met consistently.
• Brief household and travel staff on the Principal's preferences and schedule, and support the planning of private events and entertaining at the residence.
3.5 Administration and Budget
• Manage the Principal's personal expenses and petty cash, keeping accurate records with receipts and submitting reconciliations to the Private Office or Finance.
• Maintain inventories of wardrobe, jewellery, valuables and personal items, at home and in transit.
• Handle correspondence, invitations, RSVPs and thank-you notes on the Principal's behalf as instructed.
3.6 Confidentiality, Discretion and Security
• Maintain absolute confidentiality about the Principal, the family, their homes, schedules, guests and personal matters, during and after employment.
• Never discuss, post or share any information, photographs or location details relating to the family, including on social media.
• Follow all security protocols and coordinate with the security team on travel, movements and access.
Requirements
Essential
• Female candidate.
• Minimum 5 years' experience as a personal butler, lady's maid, female lifestyle manager, private PA or VIP personal assistant in a UHNW household, royal household, private office, luxury hotel or superyacht.
• Proven experience travelling internationally with a high-profile principal.
• Excellent wardrobe care skills, including handling luxury fabrics, couture and fine jewellery.
• Excellent spoken and written English.
• Valid passport with the ability to travel freely and at short notice, and a clean background check.
Preferred
• Formal butler or private service training (for example from a recognised butler academy).
• Arabic language skills and understanding of Arab and GCC culture and etiquette.
• Experience on superyachts or with private aviation.
• Valid UAE driving licence.
CORE COMPETENCIES
•
Absolute discretion and integrity:
trusted with highly sensitive personal information and valuables.
•
Anticipation:
reads situations and preferences, and acts before being asked.
•
Polished presentation:
impeccable grooming, etiquette and professional manner.
•
Organisation:
manages complex logistics and multiple details under pressure.
•
Flexibility and resilience:
adapts to changing plans, time zones and long hours.
•
Cultural sensitivity:
respects the family's culture, values and privacy, and is comfortable working in a female-only private environment.
Location: United Kingdom
ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Senior/ Principal Statistician to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes.
We are seeking an experienced
Senior/Principal Statistician
Consultant
to provide statistical leadership and expertise across clinical development programs within the pharmaceutical industry. The successful candidate will contribute to clinical trial design, statistical methodology, data analysis, and regulatory submissions while collaborating with cross-functional teams to support evidence generation and informed decision-making throughout drug development.
Key Responsibilities
Provide statistical leadership across clinical development programs, from early-phase studies through late-phase clinical trials.
Lead clinical trial design, including endpoint selection, sample size calculations, power analyses, and randomization strategies.
Develop and review clinical study protocols, statistical analysis plans (SAPs), and other statistical documentation.
Oversee statistical analyses and interpretation of clinical trial data to ensure scientific rigor and regulatory compliance.
Provide statistical expertise for regulatory submissions and interactions with health authorities, including the FDA and EMA.
Collaborate with Clinical Development, Clinical Operations, Data Management, Regulatory Affairs, and Medical Writing teams.
Review statistical outputs, including tables, listings, and figures (TLFs), to ensure accuracy and consistency with analysis plans.
Apply appropriate statistical methodologies to address complex clinical trial design and analysis challenges.
Contribute to clinical study reports (CSRs), integrated summaries of safety and efficacy, and other regulatory documents.
Identify statistical risks and recommend appropriate solutions throughout the clinical development process.
Provide technical guidance and mentorship to statisticians and other team members, as appropriate.
Required Qualifications and Experience
PhD in Statistics, Biostatistics, or a related quantitative discipline; a Master's degree with substantial relevant experience may also be considered.
Significant experience in biostatistics within the pharmaceutical, biotechnology, or clinical research industry.
Strong knowledge of clinical trial design, statistical inference, sample size determination, power calculations, and statistical analysis methodologies.
Proven experience developing and reviewing statistical analysis plans, clinical study protocols, and clinical study reports.
Familiarity with regulatory requirements and guidance applicable to clinical development and statistical analyses.
Experience supporting clinical development programs in
oncology, rare diseases, and/or neuroscience.
Experience supporting regulatory submissions and health authority interactions.
Experience with complex clinical trial designs and advanced statistical methodologies.
Proficiency in statistical programming tools such as SAS and/or R.
Strong analytical, problem-solving, communication, and stakeholder-management skills.
Ability to work independently and collaborate effectively with global cross-functional teams.
The Application Process
Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.
Who will you be working for?
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates.
ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
#LI-TT1 #LI-Remote #LI-Principal #contract
Location: European Union
ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a Senior/ Principal Statistician to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes.
We are seeking an experienced
Senior/Principal Statistician
Consultant
to provide statistical leadership and expertise across clinical development programs within the pharmaceutical industry. The successful candidate will contribute to clinical trial design, statistical methodology, data analysis, and regulatory submissions while collaborating with cross-functional teams to support evidence generation and informed decision-making throughout drug development.
Key Responsibilities
Provide statistical leadership across clinical development programs, from early-phase studies through late-phase clinical trials.
Lead clinical trial design, including endpoint selection, sample size calculations, power analyses, and randomization strategies.
Develop and review clinical study protocols, statistical analysis plans (SAPs), and other statistical documentation.
Oversee statistical analyses and interpretation of clinical trial data to ensure scientific rigor and regulatory compliance.
Provide statistical expertise for regulatory submissions and interactions with health authorities, including the FDA and EMA.
Collaborate with Clinical Development, Clinical Operations, Data Management, Regulatory Affairs, and Medical Writing teams.
Review statistical outputs, including tables, listings, and figures (TLFs), to ensure accuracy and consistency with analysis plans.
Apply appropriate statistical methodologies to address complex clinical trial design and analysis challenges.
Contribute to clinical study reports (CSRs), integrated summaries of safety and efficacy, and other regulatory documents.
Identify statistical risks and recommend appropriate solutions throughout the clinical development process.
Provide technical guidance and mentorship to statisticians and other team members, as appropriate.
Required Qualifications and Experience
PhD in Statistics, Biostatistics, or a related quantitative discipline; a Master's degree with substantial relevant experience may also be considered.
Significant experience in biostatistics within the pharmaceutical, biotechnology, or clinical research industry.
Strong knowledge of clinical trial design, statistical inference, sample size determination, power calculations, and statistical analysis methodologies.
Proven experience developing and reviewing statistical analysis plans, clinical study protocols, and clinical study reports.
Familiarity with regulatory requirements and guidance applicable to clinical development and statistical analyses.
Experience supporting clinical development programs in
oncology, rare diseases, and/or neuroscience.
Experience supporting regulatory submissions and health authority interactions.
Experience with complex clinical trial designs and advanced statistical methodologies.
Proficiency in statistical programming tools such as SAS and/or R.
Strong analytical, problem-solving, communication, and stakeholder-management skills.
Ability to work independently and collaborate effectively with global cross-functional teams.
The Application Process
Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.
Who will you be working for?
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates.
ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
#LI-TT1 #LI-Remote #LI-Principal #contract
Location: US (Remote)
Workplace: Remote
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, Canada; 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 Staff Product Manager, Test & Code Coverage, you'll build product capabilities from initial discovery through launch and adoption. You'll help engineering teams understand why pipelines fail, improve test automation, and use code coverage to make better decisions about software quality and risk.
You'll turn a technically complex problem space into a focused strategy, roadmap, and developer experience. Working closely with Engineering and Design, you'll explore how agents can diagnose failures, recommend next steps, and help teams recover safely. The goal isn't to add artificial intelligence (AI) for its own sake. It's to reduce manual work and help developers get back to a safe, shippable state without losing trust or control.
At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. You'll contribute to that mission by making testing and coverage insights more useful across the software development lifecycle.
What you'll do
Define and communicate the Test & Code Coverage product vision, strategy, and outcome-focused roadmap, from discovery through a minimum viable product, beta, launch, and continued iteration.
Identify customer problems across pipeline failure diagnosis, test automation, test optimization, code coverage, and recovery. Build the case for investment, prioritize foundational and customer-facing work, and reshape or stop initiatives that aren't creating value.
Work with Engineering to understand pipeline failures caused by flaky tests, testing gaps, environment issues, configuration problems, and coverage blind spots. Connect code changes, tests, pipeline behavior, historical patterns, and risk to help developers find a diagnosis and an actionable next step.
Work directly with customers to understand how they author, maintain, select, prioritize, and debug tests. Connect test selection, test impact analysis, code coverage, and pipeline intelligence to reduce flaky tests, shorten feedback loops, and focus testing effort where it lowers the most risk.
Partner with Engineering and Design to prototype agent-driven workflows for failure diagnosis, test authoring and repair, optimization, coverage analysis, and recovery. Make actions reviewable through evidence, confidence, human approval, and safe paths to propose code changes and merge requests. Use AI tools in your own product work to investigate problems, explore code and data, prototype concepts, and accelerate learning.
Define and measure outcomes such as time to diagnose, time to recover, failure recurrence, test signal quality, and developer confidence. Validate problems and solutions with customers and learn from production usage.
Partner across Product, Engineering, Design, Quality, Developer Experience, Customer Success, Support, and Product Marketing to connect testing insights with code review, pipelines, and release decisions. Turn customer evidence into clear narratives that support adoption and future investment.
Lead through clear written communication, prioritization, and product judgment. Influence senior stakeholders, establish repeatable discovery and measurement practices, and mentor other product managers.
What you'll bring
Experience owning complex technical products, platforms, or developer workflows at Staff, Senior Staff, Principal, or equivalent scope, including building a new product or capability from initial validation through launch and adoption.
Strong product fundamentals in customer discovery, problem framing, prioritization, roadmap development, outcome measurement, and iterative delivery.
Technical fluency in one or more relevant areas, such as software testing, test automation, code coverage, continuous integration and continuous delivery (CI/CD), developer tools, DevOps, developer experience, quality engineering, or software delivery.
An understanding of how engineering teams build, test, review, and ship software, and the ability to work with engineers on test architecture, pipeline behavior, code changes, data, integrations, reliability, and scale.
Experience diagnosing technical problems and turning complex, noisy signals into clear user experiences and actionable workflows.
Experience exploring AI or agent-driven solutions for developer workflows, with the judgment to distinguish useful automation from unsafe or low-confidence actions.
Experience using customer conversations to understand problems and inform product decisions, communicating clearly in writing and conversation, and influencing across functions with shared ownership. You can work directly with developers, quality engineers, platform teams, engineering leaders, and executives, and move between strategy and implementation detail.
About the team
Our work brings together Product, Engineering, and Design, with input from Quality, Developer Experience, Customer Success, Support, and Product Marketing. We work directly with developers, quality engineers, and engineering leaders to understand their testing practices, validate ideas, and learn from how they use the product.
We give Engineering and Design clear customer context and room to shape solutions. Our decisions draw on customer evidence and measurable outcomes, and we revisit approaches that aren't creating value. You'll contribute to how we discover problems, prioritize work, and measure progress, as well as sharing product management practices with other product managers.
As part of GitLab's all-remote organization, we collaborate asynchronously across regions. Our work emphasizes transparency, written communication, and clear decision-making.
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
$168,000
—
$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: Remote
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
Priority Application Deadline:
November 9, 2026
Location:
This role is remote but must overlap with an
East Africa timezone by at least 3 hours
. We are unable to sponsor or take over sponsorship of employment visas in the U.S. or U.K. at this time.
About this role
The Monitoring and Evaluation (M&E) Associate for Rapid Experimentation will support the execution and analysis of A/B tests across GiveDirectly’s programs, contributing to the use of data to inform program and product decisions. This role is fast-paced and iterative - the team runs frequent, lightweight experiments designed to generate actionable answers quickly, and then uses those learnings to refine and improve programs in real time. This includes:
Supporting the execution and analysis of rapid A/B tests across GiveDirectly projects
, ensuring that experiments are implemented effectively and contribute to learning within and across projects
Ensuring experiments are implemented correctly, measured reliably, and analyzed to produce clear and credible results
, working closely with Programs, Product, Research teams, and external academic partners to align experimental design with program delivery, data collection, and operational realities
Translating findings into actionable insights and well-structured learning products
that serve multiple audiences - internal program and product teams, and external academic partners, ensuring results inform both immediate decisions and longer-term program direction
In practice, this role is about managing a high volume of rapid experiments and turning results into clear, credible evidence that continuously shapes how GiveDirectly’s programs are refined and improved.
Reports to:
Senior Manager, Monitoring and Evaluation
Level
: Associate
Travel Requirement:
This role is based in Rwanda. Travel within East Africa is a regular part of the role, estimated at up to 25% of the time, to support field operations across country programs.Additional international travel may occur for trainings or team convenings, as needed (estimated up to 10%)
What you’ll do:
Execute and manage A/B tests across programs
Conduct power calculations to ensure experiments are both statistically rigorous and feasible to implement within program constraints
Set up pre-specified experimental designs, applying defined experimental groups, outcome measures, and measurement timelines
Review experiment setups prior to launch and flag execution and measurement risks that may affect interpretability
Ensure experiments are well-coordinated and executed as designed, aligning implementation with research plans and integrating smoothly into program delivery across Programs and Product teams
Work at a fast pace across a portfolio of 2–3 live A/B tests at any given time, designed to generate actionable answers quickly and feed rapid iteration of programs and products
Ensure accurate measurement and high-quality data for experiments
Collaborate with external Principal Investigators (PIs) to ensure measurement approaches and data collection are aligned with research design and implementation realities
Ensure experimental outcomes are captured accurately and consistently by applying established indicator and measurement approaches
Prepare and manage datasets that are clean, well-structured, and ready for analysis using survey, administrative, and product data
Identify and flag data quality risks (e.g., missingness, inconsistencies, measurement error) that could affect the validity of experimental conclusions
Conduct targeted literature reviews to ensure measurement approaches are grounded in evidence and aligned with best practices
Analyze experimental data and interpret results to inform decisions
Generate reliable and decision-ready analyses of experimental data from A/B tests
Assess the magnitude and direction of effects and highlight what the results do and do not suggest, noting key limitations
Ensure results are clearly understood and appropriately interpreted, given data quality, sample size, and implementation considerations
Translate results into actionable insights and learning across experiments
Translate experimental results into clear, actionable recommendations to guide program and product decisions for individual country programs, and for the direction of GiveDirectly’s programming as a whole
Structure results and key learnings so they can be reused to inform future experiments and program design
Prepare concise learning products (e.g., memos, summaries) that serve multiple audiences, including internal Programs and Product teams, and external academic partners, ensuring findings are clearly communicated for both technical and non-technical stakeholders
Prepare and clean de-identified datasets for sharing with external PIs and academic partners, ensuring data is structured, well-documented, and ready for independent analysis
Contribute to cross-country discussions to ensure learnings from experiments are shared and applied across contexts, and maintain clear documentation so experiments are easy to track, understand, and build on over time
What you’ll bring:
Exceptional alignment with
GiveDirectly Values
and active demonstration of our core competencies: emotional intelligence, problem-solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve.
Bachelor’s degree (or equivalent) in Economics, Statistics, Public Policy, or a related quantitative field
2–4 years of experience working with data in applied settings (e.g., experimentation, evaluation, analytics, or program learning), ideally in development, tech, or operations-focused roles
Solid understanding of experimental design and causal inference concepts (e.g., randomization, treatment/control groups, units of randomization, statistical power, bias) and how to apply them in real-world program contexts
Experience using R, Python, or Stata to clean, manipulate, and analyze data, including working with multiple data sources (e.g., survey or administrative data)
Experience collaborating with cross-functional teams (e.g., programs/operations, product, or research) and external partners to implement projects and solve problems
Fluency in English required
Comfort working at pace - able to manage multiple workstreams simultaneously, make progress with imperfect data, and iterate quickly based on emerging findings
Ability to interpret results beyond statistical significance and communicate clear, actionable insights to both technical and non-technical audiences
Compensation
At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy
here
.
Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.
Kenya
Base Salary:
$46,930
Bonus at Target Performance:
10%
Rwanda
Base Salary:
$38,560
Bonus at Target Performance:
10%
UK
Base Salary:
£52,920
Bonus at Target Performance:
10%
Annual Benefits Stipend:
£2,760
United States
Base Salary:
$81,000
Bonus target:
10%
Annual Benefits Stipend:
$21,393
This role is fully remote, with a preference for candidates to be based in Kenya or Rwanda. If you’re located elsewhere, we’ll share an estimated salary benchmark for your country during the hiring process. You can find the full list of countries we’re currently able to hire in
here
.
Why work at GiveDirectly?
At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:
A supportive team that works hard and cares hard
A robust health benefits plan (exact details will vary by country)
Flexible paid time off that staff is encouraged to take
Allowances for desk set-up and learning and development
#LI-REMOTE
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Location: Dubai, United Arab Emirates
1. ROLE PURPOSE
The Senior Vice President – Family Office (Private Investments) is responsible for leading the Family Office and managing the principal’s private investment portfolio. The role sets and executes the investment strategy, preserves and grows wealth across generations, and ensures the Family Office operates with institutional-grade governance, risk management and reporting.
The SVP acts as the principal’s senior investment adviser and trusted counterpart, overseeing direct and fund investments across asset classes, wealth structuring, banking relationships and the Family Office team, with complete discretion and confidentiality.
2. KEY RESPONSIBILITIES
2.1 Investment Strategy and Asset Allocation
• Develop and maintain the Family Office Investment Policy Statement (IPS), covering objectives, risk appetite, return targets, liquidity needs and investment restrictions, for approval by the Principal.
• Set the strategic and tactical asset allocation across public markets, private equity, venture capital, private credit, real estate, hedge funds and other alternative investments.
• Review the portfolio regularly and recommend rebalancing in response to market conditions and the family's objectives.
2.2 Private Investments and Deal Execution
• Source, evaluate and execute direct investments, co-investments and fund commitments in the UAE and internationally.
• Lead investment analysis, valuation, due diligence and deal structuring, supported by the investment team and external advisers.
• Negotiate investment terms, shareholder agreements and fund documentation, and represent the Family Office on investee boards or advisory committees where appropriate.
• Plan and execute exits to maximise value for the family.
2.3 Portfolio Management and Performance
• Oversee the performance of the entire portfolio and of individual investments against approved benchmarks and business cases.
• Select, appoint and monitor external fund managers, private banks and investment advisers, and review their fees and performance.
• Manage liquidity, cash flow and capital-call planning to ensure the family's commitments and lifestyle requirements are met.
2.4 Wealth Structuring and Succession
• Work with legal, tax and fiduciary advisers on holding structures, foundations, trusts and special purpose vehicles (for example in DIFC or ADGM) to protect and efficiently hold family assets.
• Support the Principal on succession planning, family governance and the family charter or constitution.
• Ensure all structures remain compliant with UAE corporate tax, economic substance, ultimate beneficial owner (UBO) and international reporting requirements (such as CRS and FATCA).
2.5 Governance, Risk and Compliance
• Establish and run the Family Office Investment Committee, including approval processes, delegation of authority and decision records.
• Implement a risk management framework covering market, concentration, currency, counterparty, liquidity and reputational risk.
• Ensure all investment activity complies with applicable laws, KYC and anti-money laundering requirements, and the family's confidentiality and conflict-of-interest policies.
• Ensure clear separation and arm's-length treatment between the family's private investments and AHS Group companies, with any related-party transactions properly documented and approved.
2.6 Reporting and Family Relations
• Deliver consolidated monthly and quarterly reporting on net worth, portfolio performance, risk, liquidity and investment activity.
• Present investment recommendations and performance reviews to the Principal and, where relevant, to family members.
• Act as a discreet, trusted point of contact for the family on investment and wealth matters.
2.7 Banking and External Relationships
• Manage relationships with private banks, custodians, asset managers, co-investors, family offices and professional advisers.
• Negotiate banking terms, credit facilities and custody arrangements on behalf of the Family Office.
2.8 Team Leadership and Operations
• Build, lead and develop the Family Office investment and finance team.
• Establish Family Office operating policies, systems, controls and budgets, and oversee accounting, consolidation and audit.
Requirements
Essential
• Bachelor's degree in Finance, Economics, Business or a related field; MBA, CFA or CAIA strongly preferred.
• Minimum 15 years' experience in investment management, private equity, investment banking or a single- or multi-family office, including at least 5 years in a senior leadership role (Executive Director, Managing Director or equivalent).
• Senior experience gained at a tier-one global financial institution, such as J.P. Morgan, Goldman Sachs, Morgan Stanley, UBS, Barclays or a comparable investment bank, private bank or asset manager.
• Proven track record of managing a multi-asset portfolio and executing direct private investments.
• Strong knowledge of wealth structuring, family governance and the UAE (including DIFC and ADGM) regulatory and tax environment.
• Experience working directly with a Principal or ultra-high-net-worth family in the GCC.
• Real estate investment expertise and an established network of private banks, fund managers and co-investors.
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УдалённоSpain; United Kingdom; Greece; Portugal; Bulgaria; Germany
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ГибридseniorNew York; San Francisco Bay Area, California; Connecticut
leadUnited States, San Diego, CA
ГибридheadParis; 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
Barcelona, Spain; Limassol, Cyprus
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УдалённоSan Francisco, CA; Seattle, WA
Dubai, United Arab Emirates; Monaco; London, United Kingdom; adapts to changing plans, time zones and long hours