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Location: Brazil; Poland; Argentina; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Forward Deployed Engineer to work directly with clients on high ambiguity GenAI, agentic AI and AI-enabled workflow transformation initiatives. This role is designed for someone who can operate at the intersection of customer discovery, hands-on engineering, solution architecture, early delivery and production adoption. You will work closely with client stakeholders and users to uncover the real operational problem, build thin end-to-end solutions with real systems and data, validate feasibility, shape the delivery path and stay involved through MVP or first production release to assure alignment with expected outcome. ROLE MISSION Your mission is to turn ambiguous customer problems into validated, production-grade AI solutions. You will help Solvd move from “we can build this” to “we have proven this works in the customer’s real operating environment.” You will bridge presales, discovery, prototyping and delivery, while converting field learnings into solution blueprints and service accelerators. YOUR RESPONSIBILITIES - Lead discovery and solution shaping for GenAI / Agentic AI initiatives, working directly with client stakeholders, users and technical teams to understand workflows, systems, data and business constraints. - Drive early-stage opportunities partnering with account executives, product analysts and technology SMEs to prototype, define scope, implementation roadmap and effort estimates. - Translate ambiguous business problems into validated AI solution designs covering model strategy, data access, orchestration, tool use, integration patterns and production constraints. - Build proof-of-concepts fast, prioritizing speed and impact over perfect design, technical spikes to validate architectural assumptions using real or representative systems and data. - Evaluate and select appropriate AI frameworks, platforms and tools, including LLMs, vector databases, orchestration frameworks, cloud AI services and agentic tooling. - Present, defend and explain complex AI, architecture and delivery concepts in simple, practical terms for both business and technical stakeholders. - Stay involved through MVP or first production release to preserve context, support delivery teams and validate that the solution works in the customer’s operating environment. - Define evaluation criteria for AI quality and business impact, including accuracy, groundedness, tool-call correctness, latency, cost, adoption and workflow effectiveness. - Ensure proposed solutions adhere to security, compliance, Responsible AI, observability and production-readiness principles. - Convert field learnings into reusable Solvd assets, including solution blueprints, evaluation frameworks and service accelerators. OUR REQUIREMENTS - A seasoned hands-on technical leader who has evolved from full-stack or server-side software engineering into the GenAI and agentic AI domain. - Experienced in designing, prototyping and integrating systems that combine LLMs, agentic frameworks, enterprise data and business workflows. - Proficient at combining established engineering patterns with emerging AI capabilities to deliver reliable, production-ready solutions. - Skilled in guiding teams and clients through ambiguity - able to prototype rapidly, validate assumptions and converge toward delivery-ready designs. - Comfortable engaging with executives, product teams, operational users and engineers alike, translating complex AI concepts into clear, actionable solution narratives. - Pragmatic, curious, collaborative and obsessed with customer problem — equally focused on technical soundness, business value, user adoption and delivery readiness. - 8+ years of experience in IT, including strong experience in software design and engineering. - 2+ years of hands-on experience architecting or building GenAI or agentic AI systems using modern LLM ecosystems, such as OpenAI, Anthropic, Gemini, Azure AI or AWS Bedrock. - Experience supporting presales solutioning, discovery, prototyping or early delivery for AI engagements. - Strong understanding of LLM orchestration, retrieval-augmented generation, vector databases, prompt engineering and tool-calling patterns. - Understanding of cost modeling for AI workloads, including token usage, inference scaling and hosting models. - Proficiency with at least one major cloud platform, such as AWS, Azure or GCP, and its AI/ML service offerings. - Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales, discovery or early delivery phases. - Strong command of software engineering fundamentals, API design, integration patterns and production-readiness practices. - Knowledge of modern software delivery practices, including CI/CD, containerization, observability and DevSecOps. - Excellent communication, presentation and documentation skills, with the ability to articulate complex solutions clearly and persuasively. OPTIONAL - Prior experience as a Forward Deployed Engineer, Field Engineer, staff engineer, solution architect or technical product lead. - Prior experience with traditional AI/ML systems, including model training, MLOps, data pipelines or feature stores. - Familiarity with frameworks for agentic or multi-component AI pipelines. - Exposure to Responsible AI, data privacy and governance frameworks. - Hands-on experience with Databricks or Snowflake. - Experience creating reusable solution blueprints, evaluation frameworks or technical accelerators. - Industry-recognized cloud and AI certifications from Anthropic, AWS, Azure or Google. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: United States 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 We are seeking a Senior Manager, Sales Operations to join our Revenue Operations team in a critical leadership capacity. This is a player-coach role designed for a deeply technical Sales Ops expert who thrives on both strategic execution and people development. You will serve as the ultimate go-to subject matter expert for all things Sales Ops infrastructure, including architecting our territory design, segmentation models, quota models and annual planning frameworks, while simultaneously leading and scaling a high-performing team. Initially managing a team of two, with further headcount planned as Docker grows, you will balance executive partnership with technical execution. You will run the strategic vision, coach your team to execute flawlessly, and step into the trenches yourself to solve our most complex operational challenges. An ideal candidate brings deep Sales Operations experience in a high-growth SaaS environment, strong command of our core tooling, and a track record of leading transformational operational change. This role reports to the Senior Director of Sales Operations. _______________________________________________________________________ RESPONSIBILITIES Sales Ops Architecture & Planning Execution - Drive the end-to-end execution of core Sales Operations, translating the overarching GTM strategy into tactical territory designs and segmentation models - Architect and build the operational models for annual and quarterly planning cycles, including territory routing (ETM), segmentation updates, and quota allocation - Own the management, administration, and execution of quota frameworks, and assist with compensation plan design for the direct sales & GTM organization - Take full ownership of complex operational initiatives, managing the lifecycle from scoping and business requirements through to deployment and post-launch optimization - Own and update the Sales Rules of Engagement and account engagement models to ensure seamless, frictionless deal flow and pipeline integrity - Own key tools within the Sales technology stack, managing vendor relationships, budgets, and roadmaps Operational Collaboration & Tech Optimization - Serve as the trusted daily operational partner to senior Sales leaders, proactively identifying areas for improvement and executing process enhancements - Collaborate closely with the Senior Director of Sales Operations and GTM ops leaders (CS, SE, Channel, Renewals) to ensure Sales Ops execution aligns seamlessly with the broader revenue ecosystem - Maximize the efficiency and roadmap of the core sales technology stack (Salesforce, Clari, Outreach, etc.) to optimize the sales cadence - Partner with Business Systems to design, test, and deploy scalable tech solutions Team Leadership - Directly manage, mentor, and develop a team of Sales Operations professionals (initially 2 direct reports) - Establish team operating cadences, manage workload capacity, and instill a culture of high ownership, precision, and operational excellence - Coach your team on advanced problem-solving, data integrity, and stakeholder communication, acting as a force multiplier for their career growth _______________________________________________________________________ QUALIFICATIONS - 6+ years of experience in Sales Operations, ideally within a high-growth SaaS or software company - 2+ years of people management or team leadership experience, with a demonstrated track record of coaching and developing team members - Hands-on experience of core Sales Ops planning, specifically territory routing, Enterprise Territory Management (ETM), segmentation modeling, and quota allocation - Proven project management skills, with experience owning complex operational initiatives across their entire lifecycle (from business requirements to post-launch optimization) - Technical expertise with core sales technology infrastructure, including Salesforce, Clari, Outreach, and LinkedIn Sales Navigator - Strong analytical and financial acumen required to manage vendor budgets, software roadmaps, and data modeling tasks - Exceptional communication and stakeholder management skills, with the confidence to advise senior sales leadership and collaborate with cross-functional GTM operations peers - Highly organized with an eye for data integrity, process precision, and documentation _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Immerse yourself in Docker’s direct sales motion, existing territory models, current sales technology stack and existing Sales Ops processes - Assume direct management of your team, establishing regular 1-on-1 cadences to understand their current workloads, skills, and professional development goals - Build strong baseline relationships with your core sales leadership partners, and GTM ops leaders (CS, SE, Channel, Renewals) - Review current processes, systems, and metrics to form an independent point of view on highest-impact opportunities FIRST 60 DAYS - Establish your position as the go-to expert for sales leadership regarding tactical operational questions, territory updates, and cadence execution - Take full ownership of the sales tech stack, including active vendor relationships, roadmaps, and budget lines - Optimize team capacity by refining operating cadences and shifting immediate execution workloads to your team, stepping in to coach them through complex roadblocks - Partner with Business Systems to get involved in open projects FIRST 90 DAYS - Drive the preparation and operational execution for the upcoming quarterly or annual sales planning cycles (territories, quotas, segmentation) - Achieve full oversight of the Sales Ops team's output, ensuring high-quality, precise delivery across all direct sales workstreams - Be recognized across Docker as both an indispensable technical anchor for Sales Operations and an impactful manager developing the next generation of operational talent Visa sponsorship: Not available for this role. _______________________________________________________________________   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: $128.1K – $200K 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: France WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? We're seeking an exceptional Customer Success Manager with deep expertise in the French public sector and government landscape to lead our most strategic government accounts. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of French government organizations. WHAT YOU'LL DO STRATEGIC CUSTOMER PARTNERSHIP: - Own the success, adoption, and growth of Cohere's French public sector customers, ensuring they realize maximum value from our AI solutions - Build deep, trusted relationships with senior French government stakeholders, including Ministres d'État, Préfets, CIOs, digital transformation leads, and ministerial executives - Develop comprehensive success plans tailored to each organization's mission, digital strategy, budget cycles (lois de finances), and unique constraints - Serve as the primary point of contact and executive sponsor for your accounts, managing escalations and ensuring customer satisfaction - Define and track success metrics aligned with French public sector priorities: citizen satisfaction, service delivery improvements, cost savings, operational efficiency, accessibility outcomes AI ADOPTION & IMPLEMENTATION LEADERSHIP: - Guide customers through the full lifecycle of AI adoption—from use case identification and pilot design through production deployment and scaling - Lead secure AI implementation projects in complex French government environments, including sensitive systems and on-premises deployments - Navigate the unique challenges of French public sector AI adoption: legacy system integration, data sensitivity, lengthy approval processes (marchés publics), and regulatory compliance requirements - Create and execute change management strategies to drive user adoption and value realization across diverse government workforces - Conduct regular executive business reviews with senior stakeholders, demonstrating ROI, impact, and strategic value - Drive contract renewals and account growth by consistently delivering value and building trusted relationships CUSTOMER ADVOCACY & PRODUCT INFLUENCE: - Serve as the voice of the French public sector customers within Cohere, advocating for features and capabilities that address government-specific needs - Provide strategic feedback to Product and Engineering teams on requirements related to security, explainability, accessibility, French language support, and ethical AI - Contribute to the development of French public sector-specific offerings, implementation playbooks, documentation, and best practices - Share customer insights to inform Cohere's French public sector go-to-market strategy and positioning - Represent Cohere at French government forums, working groups (groupes de travail), roundtables, and industry events YOU MAY BE A GOOD FIT IF: REQUIRED EXPERIENCE: - 8+ years of experience in customer success, account management, strategic consulting, or technology delivery roles within enterprise or French government contexts - At least 3-5 years working directly with French ministries, regional authorities, or public institutions in a technology, digital transformation, or consulting capacity - Proven track record of managing complex, strategic accounts with multiple stakeholders, long sales cycles, and multi-year implementation timelines - Experience leading AI/ML, cloud, or enterprise software implementations in secure or highly regulated environments - Experience developing and executing customer success strategies, QBRs, and executive engagement programs - Deep understanding of how French government organizations evaluate, procure (following Code des marchés publics), implement, and govern technology solutions - Active Confidentiel-Défense or higher security clearance (mandatory) - Fluent French language proficiency—essential for working across the French public sector FRENCH PUBLIC SECTOR & GOVERNMENT ACUMEN: - Comprehensive knowledge of the French public sector ecosystem: central ministries, regional governments (régions), departmental authorities (départements), public enterprises, and critical infrastructure - Knowledge of relevant legislation and frameworks: RGPD, loi Informatique et Libertés, ANSSI standards, accessibility standards - Experience with French government cloud strategies and security frameworks: France Cloud, Souveraineté numérique NICE TO HAVE: - 3+ years specifically managing GenAI, LLM, or conversational AI implementations - Experience with specific French public sector digital transformation initiatives: France Relance, France 2030 - Direct experience working with French defense, intelligence, public safety, or national security organizations - Background in management consulting, systems integration, or digital transformation consulting for French public sector clients FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Munich, Germany WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. WHO WE ARE: This role sits on the EMEA Leadership Team and reports to the General Manager, EMEA. WHAT YOU'LL ACHIEVE: - Own the GTM strategy, operating rhythm, and growth plan for Germany, with accountability for overall regional revenue outcomes across Sales Assist and Self Serve contribution. - Lead as a second-line manager: hire, coach, and develop frontline leaders and IC teams across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, and supporting GTM functions. - Scale a country-first GTM motion that brings Notion closer to German customers through local executive engagement, market nuance, and faster field-level decision-making. - Accelerate the land engine by opening the right front doors, growing professional workspaces, increasing net-new and upgrade opportunities, and connecting self-serve signals to sales-assisted motion. - Win lighthouse customers and turn them into market momentum by making them wildly successful, telling their story locally, and using those wins to influence peer companies across Germany. - Embed Notion’s AI-era GTM model across the team, including agent-enabled customer journeys, first-agent workflow activation, AI/agent demo proficiency, and stronger “build with the customer” motions. - Make agentic transformation central to the German GTM motion: help customers identify high-value workflows, build and deploy Notion Agents, automate cross-functional work, and measure outcomes from AI adoption. - Partner tightly with Solutions Consultants, Outcomes Architects, Forward Deployed Architects/Engineers, Professional Services, and Channel to reduce handoffs and deliver faster, more durable customer value. - Build “sell with” partner motions in Germany, including partner-sourced pipeline, co-sell plays, enablement, AI/agentic solution packages, and joint account planning. - Establish Notion as a visible force in the German ecosystem through executive dinners, field events, startup and community engagement, partner activations, and customer advocacy. - Represent the voice of German customers back to Product, PMM, Marketing, and EMEA leadership, especially around AI transformation, enterprise requirements, security, compliance, localization, and competitive dynamics. - Create a talent destination in Germany by hiring builder-oriented leaders and ICs, raising the craft bar, and developing the next generation of AI-native GTM talent. - Drive operational excellence across forecasting, pipeline quality, territory planning, inspection cadence, performance management, and cross-functional execution. WHO WE'RE LOOKING FOR: A strategic and hands-on GTM operator who has scaled enterprise SaaS or AI businesses in Germany and knows how to build a market, not just inherit one. You have led through managers, owned complex revenue outcomes, and created local market momentum through customers, partners, community, and talent. You combine second-line leadership with builder energy. You can set a crisp country strategy, install the operating system to execute it, and step into the field when needed — whether joining an executive customer conversation, sharpening a pipeline plan, coaching a manager, or helping the team translate a customer problem into an AI-powered, agentic workflow. You are excited by Notion’s shift to an AI-native, country-first GTM model and believe the best GTM teams will increasingly be builders: BDRs who identify transformation opportunities, Solutions Consultants who build with customers in the room, Outcomes Architects who turn early workflows into durable adoption, and Forward Deployed Architects/Engineers who design the technical systems behind complex agentic workflows. SKILLS YOU'LL NEED TO BRING: - 12+ years of professional experience, including 5+ years SaaS or AI sales & GTM teams in Germany. - Proven second-line leadership experience, including hiring, coaching, and developing frontline managers and high-performing IC teams. - Track record of owning and exceeding revenue targets across new business, expansion, and renewal/churn dynamics. - Deep knowledge of the German enterprise and startup ecosystem, including executive buyer networks, local partner channels, and market-specific buying dynamics. - Experience building or scaling a regional/country business in a high-growth or ambiguous environment. - Experience selling, implementing, or leading GTM teams around AI, automation, agentic workflows, collaboration, productivity, developer, or data products. - Strong strategic judgment: ability to define a country plan, segment the market, prioritize accounts and plays, and align cross-functional teams around outcomes. - Operational rigor across forecasting, pipeline generation, inspection, performance management, territory planning, and sales process. - Executive presence with CIO, CTO, CPO, COO, and business transformation buyers, with the ability to shape a compelling AI and agentic workflow narrative. - Strong understanding of modern GTM motions across Business Development, Solutions Consulting, Outcomes Architecture, Forward Deployed Architecture/Engineering, Professional Services, Channel, Marketing, RevOps, and Product. - Builder mentality and deep AI curiosity: comfortable learning, demoing, and coaching teams on agent-first workflows, proof-of-value motions, and customer co-building. - Fluency in German and English. NICE TO HAVES: - Experience launching or scaling a country-first or regional GTM operating model. - Familiarity with enterprise security, compliance, APIs, webhooks, connectors, data residency, AI governance, and technical evaluation processes. - Experience scaling partner, channel, marketplace, or consultant-led GTM motions around AI or workflow transformation. We’re an equal opportunity employer and encourage candidates to apply even if not matching every bullet. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated on target earnings (including base salary and on target incentive pay) for this role is €350,000 - 420,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world — one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We're a team of fiercely driven individuals committed to making healthcare more sustainable — and we're looking for passionate people to help us get there. For more information, visit arcadia.io. Arcadia helps healthcare and life sciences organizations deliver measurable results. We unify fragmented data across the healthcare ecosystem so payers, providers, ACOs, and life sciences companies can make confident decisions grounded in trustworthy intelligence. Our platform supports more than 200 organizations and 40 million attributed lives across value-based care, risk adjustment, population health, and life sciences programs.  Why This Role Is Important to Arcadia Arcadia's commercial team depends on consistent process, clean pipeline data, and forecasts to help manage and grow the business. As a fast-growing company, we need to scale our infrastructure, systems and operating model to one that aligns to the pace of the growth. This role owns the systems, tools, and cadences that make pipeline reviews, forecasting, and reporting consistent and accurate across the entire commercial team. Part of the initial mandate is understanding the current ecosystem of tools and technology that support commercial and revenue operations today, and making recommendations on the optimal tech stack for the function going forward — one that is AI native. This person will be the accountable owner of that stack and roadmap, partnering closely with Product and Tech to build the AI-native operating system rather than building it in isolation. This person will run point on sales operations and the forecasting cadence, and will build the AI-powered operating layer (dashboards, briefings, and workflow tools) that gives the entire commercial organization — not just its leadership — real-time visibility and leverage. This is role is for someone who is execution oriented. You'll work in the tools yourself — not just direct others to — while also setting the strategy, systems, and rigor that let Sales, Marketing, Customer Success, Legal, and Finance move as one aligned, predictable engine. What You'll Be Doing Own the revenue operating system, designing and scaling the processes, metrics, and infrastructure that drive consistent, predictable performance across the business Partner with Systems Engineering to drive end-to-end improvements and scalability in Salesforce, including structure, data hygiene, workflow automation, and adoption across the sales org Evaluate the current ecosystem of tools and technology supporting commercial and revenue operations, and make recommendations on the optimal, AI-native tech stack for the function Serve as the accountable owner of that tech stack and roadmap, partnering closely with Product and Tech to build the AI-native operating system rather than building it in isolation Own pricing strategy, SKUs, and the end-to-end quote-to-cash process, ensuring pricing structures and deal execution are clean, consistent, and scalable Own the forecasting cadence and develop robust, repeatable forecasting models (pipeline, bookings, ARR) that improve accuracy and predictability Build the AI-powered operating layer — automated briefings, pipeline intelligence, meeting prep, and reporting dashboards — that gives the commercial organization real-time visibility Establish and maintain a unified KPI framework, ensuring alignment on definitions, visibility, and accountability across the funnel Act as connective tissue across live opportunities, coordinating Marketing, Finance, the RFP team, Value Enablement, and Sales Engineering so they're effectively leveraged Partner with Sales, Marketing, Customer Success, and Finance leadership to align execution with company goals and financial plans Analyze pipeline health, conversion rates, and sales efficiency to identify opportunities and drive improvements Design and manage sales compensation and incentive plans that align with business objectives and drive desired behaviors across GTM teams What Success Looks Like In 3 months Build a deep understanding of Arcadia's GTM model, revenue streams, and key SaaS metrics (ARR, NDR, GDR, pipeline coverage, win rates, sales cycle) Assess current RevOps infrastructure, CRM configuration, reporting, and forecasting methodologies Map the current ecosystem of tools and technology supporting commercial and revenue operations, and begin forming a point of view on the optimal, AI-native tech stack Establish trust across Sales, Marketing, Customer Success, and Finance leadership In 6 months Own the CRM and forecasting cadence end-to-end, with a unified KPI framework giving clear visibility into pipeline health, revenue performance, and GTM efficiency Ship the first version of the AI-powered operating layer (automated briefings, dashboards, and reporting tools) that reduces manual reporting burden for commercial leadership Improve forecast accuracy through enhanced pipeline modeling and data-driven insights In 12 months Operate a scalable revenue operating system — process, CRM, forecasting, and AI tooling — that enables predictable growth and aligns planning across GTM and Finance Deliver consistent, high-confidence forecasts and actionable insights that directly inform the executive team's decisions Improve key performance metrics (e.g., pipeline coverage, conversion rates, sales productivity, retention) through data-driven optimizatio What You'll Bring The Role, Done Before You have held this exact role — Head/Director of Revenue Operations or equivalent — at a company of similar growth stage, and can point to what you built and owned. Growth-Stage Fluency Track record of operating at growth-stage speed and ambiguity — scrappy, resourceful, and comfortable building infrastructure from scratch rather than administering something already built. Candidates whose experience is exclusively at large, mature organizations without growth-stage exposure are not a fit for this seat. Deep SaaS Metrics Expertise Strong command of key SaaS metrics including ARR, NDR, GDR, CAC, LTV, pipeline coverage, and sales productivity, and how they connect to business performance. Forecasting & Modeling Rigor Proven ability to build and operationalize forecasting models (e.g., pipeline velocity, ARR forecasting) that improve accuracy and predictability. CRM & Systems Ownership Deep, hands-on experience owning a CRM (Salesforce or equivalent) and the broader GTM tech stack — configuration, data integrity, and workflow design, not just consumption of dashboards. Pricing & Quote-to-Cash Experience Hands-on experience owning pricing strategy, SKU structure, and the quote-to-cash process, ideally in a company that scaled or restructured its pricing model. AI-Forward Comfortable using AI tools to build operational leverage — automating reporting, briefings, and workflows rather than relying solely on headcount to scale. Cross-Functional Leadership Track record of partnering effectively with Sales, Marketing, Customer Success, Finance, and executive leadership to drive alignment and results. Operator Mindset Ability to move between strategy and execution, translating insights into action and driving measurable impact. Would Love for You to Have 8–12+ years of experience across Revenue Operations, Sales Operations, or GTM analytics in a SaaS environment Experience supporting a high-growth SaaS company through key milestones (e.g., post-acquisition integration, scale-up, or M&A) Familiarity with modern BI, AI, and planning tools (e.g., Sigma, Adaptive, Salesforce ecosystem, AI-native reporting/agent tools) and building self-service analytics environments Experience designing and optimizing sales compensation plans at scale What You'll Get The mandate to build a consistent, predictable commercial engine — including its AI-powered tooling — rather than inherit and maintain one A growth path from individual contributor to leading the people and functions that support sales operations as Arcadia scales A mission-driven culture where your work supports better healthcare outcomes Competitive compensation and strong benefits, including Flexible Time Off A collaborative, data-driven environment focused on impact, ownership, and continuous improvement About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager. This role is bonus eligible

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Field Applications Engineering Manager to lead the deployment and integration of our humanoid robot solutions at customer facilities in North America. The role involves managing a team of Field Applications Engineers, planning and resourcing deployments, conducting on-site visits to customer facilities, leading demos, managing deployment projects as well as acting as the accountable person for deployment acceptance testing, site integration and robot operations. This position requires leadership, technical expertise, flexibility, problem-solving skills, and a customer-centric approach.   WHAT YOU'LL DO - Manage the North America deployment team, including 1:1s, performance, mentoring and coaching. - Allocate and schedule the team, resources and support required to meet deployment milestones. - Lead the deployment and implementation of humanoid robot solutions at customer locations. - Oversee the planning, preparation and execution of on-site Proof of Concept (PoC) and pilot projects, both short and long-term. - Integrate engineering development activities into deployment projects, working with technical leaders across the company to manage delivery risks. - Supervise visits to customer facilities to gather data and assess requirements. - Supervise the construction and use of test environments in our lab for deployment reliability and performance testing. Define lab test and site acceptance testing strategies. - Lead product demonstrations in the lab for customers, investors, and internal stakeholders. - Represent the company at expos and industry events, delivering live product demos. - Manage the testing of product releases and their delivery to customer sites. - Oversee resolution of on-site issues during deployment and operations. - Prioritise product data and customer feedback for engineering and product teams; implement improvements to deployment efficiency and site deployment processes. - Oversee maintenance and troubleshooting activities, with remote engineering support. - Report deployment status and risks to senior stakeholders across the company. - Work with Business Development, Engineering and Product Management on customer use case analysis, solution development, and deployment strategies.   WHAT WE'RE LOOKING FOR - Bachelor's degree in Engineering (Mechanical, Electrical, Robotics, Mechatronics, or a related field) or equivalent technical qualification. - Experience leading robotics or automation deployment projects at customer sites, including concept/pilot projects. - Experience managing a team of engineers in demanding environments. - Technical knowledge of robotics site installation and hardware/software configuration. - Track record of overseeing the resolution of technical issues on site under pressure. - Experience presenting and delivering live product demonstrations. - Experience working across engineering, product, and commercial teams to deliver customer projects. - Exceptional written and verbal communication skills. - Experience managing customer stakeholders on-site. PREFERRED QUALIFICATIONS - Prior experience in humanoid, AMR or manipulation-based robotics deployment. - Experience with software integration and sensor-based automation. - Hands-on skills in mechanical and electrical troubleshooting, assembly, and maintenance. - Experience with CAD modelling, 3D scanning, or digital twin technology. - Experience with site commissioning and acceptance. - Experience with automation business case development and presales activity. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $150K–$180K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Ireland Overview Smartling is seeking a Business Development Representative for a remote, work from home position, based in Ireland. Smartling’s Business Development team is a group of highly motivated sales professionals whose focus is to source and engage with high-potential prospects. As the first point of contact with potential customers, you will qualify active buying interest and be a critical part of the bridge between marketing and sales to ensure new customer acquisition is consistent, high quality, and frictionless. Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. What’s in it for you Become a business representative via regular and structured coaching and training Be a part of an ambitious and highly motivated team You will learn vital prospecting skills and be a champion in discovery calls with prospects Develop your core foundation and launch your career as a SaaS sales professional Work in a fast-paced technology company Sales performance incentives for fun (SPIFFs!) You Will Work alongside marketing and sales to source and engage with high-potential prospects and companies Develop and execute outreach strategies via email, zoom and social channels Generate curiosity with potential customers by clearly articulating Smartling’s value proposition Act as a consultative partner for potential customers; fielding questions and handling objections Once prospects have been qualified and a fit has been identified, execute a hand-off to Account Executives Diligently record and manage prospect and company information in Salesforce.com Become a Smartling expert, maintaining an in-depth knowledge of the product, competitive positioning and industry trends Be a Smartling ambassador at industry events and conferences You Have Interest in sales as a career Track record of top performance in a competitive environment A natural passion and curiosity for the fast-paced technology Clear communicator with a deep sense of empathy A self-starter who loves problem solving and teamwork Excellent written communication skills Bachelor’s degree or equivalent work experience 1 year customer-facing experience A home office setup conducive for working remotely, and the ability to work effectively as a remote team member* Preferred but not required Working knowledge of sales and marketing tools e.g. Salesforce.com, LinkedIn, Outreach Prior experience within a fast-paced technology company You Are Results-focused. Motivated, hard-working and ready to level up to your career goals Curious: You’re a “forever learner” with an insatiable desire to gain new skills and knowledge Enthusiastic . A fun and energetic co-worker Customer-focused. Passionate for client success at all times Detail-oriented . Have excellent time management and organizational skills A team-player .  Who gets excited by a fast-paced, high-energy environment You Will Enjoy Freedom 🏡- we are remote-first Growth - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary Wellness - company-sponsored Health insurance plan & pension plan with company matching Balance - flexible PTO + 10 bank holidays! Generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral programs and Apple equipment Smartling is proud to be an equal opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. *To work from home, you must have a strong internet connection, quiet space, and a professional (distraction and clutter-free) background. To all recruitment agencies: Smartling does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias or Smartling employees. Smartling is not responsible for any fees related to unsolicited resumes.

Location: San Francisco, CA | New York City, NY 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 As the Manager of Commercial Applied AI Architects at Anthropic, you will drive adoption of frontier AI across our mid-market and SMB customers by leading a team of technical architects who help companies build and deploy with the Claude API, Claude Code, the Agent SDK, and Claude for Enterprise. Commercial is one of Anthropic's largest and fastest-moving books of business: thousands of companies, a rapidly growing sales team, and a small group of architects whose job is to change deal outcomes where technical depth matters most. Your team's leverage does not come from being everywhere. It comes from choosing the right accounts to go deep on, then turning what they learn there into blueprints, demos, tooling, and enablement that reach the rest of the book. You will bring your own builder credibility and technical judgment to the role. Our architects ship working code: prototypes, eval frameworks, near-production examples that customers extend, and internal tooling that scales the team itself. You do not need to be the strongest engineer in the room, but you should expect to be in the work with your team, not just reviewing it from above. When an architect is deep in a hard engagement, you will often be right there alongside them, unblocking, pairing, and pressure-testing, while the account itself stays theirs. This is a first-line leadership role reporting to the Head of Applied AI, Commercial. You will start by managing a team of architects and are expected to help grow it well beyond its current size, partnering with Commercial sales leadership on coverage, qualification, and where technical investment pays off. You will co-own the strategy for how Applied AI shows up in the Commercial segment, and you will be judged on your team's outcomes and growth, not your own. Responsibilities: Manage, coach, and grow a team of Commercial Applied AI Architects, setting a high bar for technical credibility, customer impact, and speed Own hiring for your team as it scales, defining the profile, running the loop, and building onboarding that gets new architects into customer conversations quickly Set goals and run reviews for your team, and develop each architect's career with clear, direct feedback Decide where your team's depth goes. Own the qualification and prioritization framework for Applied AI engagement across a very large book, and be comfortable saying no Work alongside your architects on their most consequential engagements, from technical discovery through deployment and expansion, and model what great looks like without taking the work off their plate Build and own the segment's technical playbooks for Claude API integrations, Claude Code rollouts, agentic architectures on the Agent SDK, and Claude for Enterprise deployments, and turn account-level wins into reusable assets that scale one-to-many Partner closely with Commercial sales leadership and Account Executives to co-build segment strategy, tighten the AE-to-architect operating model, and drive adoption across mid-market and SMB Ensure your team consistently surfaces how mid-market companies are building with Claude, and translate that signal into actionable feedback for Product and Engineering Represent Anthropic technically at customer sites, workshops, roadshows, and events, and contribute to thought leadership through content and speaking Stay ahead of the AI engineering landscape, including agentic architectures, eval design, context engineering, and developer tooling, and keep your team operating at the frontier You may be a good fit if you: Have 7+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 3+ years managing pre-sales or technical go-to-market teams Know how to hire well, coach effectively, give hard feedback kindly, and create an environment where builders do their best work Have led technical teams in a high-velocity, high-volume sales motion, where the constraint is your team's capacity rather than pipeline, and have a real point of view on how to allocate scarce technical talent across a large book Bring builder credibility. You have built and deployed LLM-powered applications, you understand what separates a prototype from a production system, and you can hold your own with a customer's engineering leadership Have hands-on familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling, and can coach architects through the design decisions their customers face Have a systems mindset. When you see a problem, your instinct is to build one thing that serves ten customers rather than ten things that serve one Are comfortable in ambiguous, early-stage environments where the playbook does not exist yet, and have a track record of building structure as you go Have strong executive presence and can build trust with technical and business leaders alike Have a genuine passion for making powerful technology safe and societally beneficial Strong candidate may have: Scaled a technical pre-sales or forward-deployed team from a handful of people to a mature function, including defining the hiring bar, onboarding programs, and coaching systems from scratch Sold to and built for mid-market companies, with a clear understanding of how technical buying decisions differ between a 500-person company and a Fortune 500 Rolled out AI coding assistants or developer tools inside engineering organizations, and know how those teams evaluate, adopt, and measure them A visible technical presence through conference talks, written content, or open-source contributions 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: $315,000 — $380,000 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: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About The Role We are seeking an experienced Director, Provider Performance & Analytics to build and oversee the measurement architecture for provider performance across all clinical service lines. In this role, you will define how Lyra measures provider capacity, availability, schedule utilization, productivity, and quality across a diverse clinical workforce spanning therapy, coaching, medication management, high-acuity care, substance use treatment, and neuropsychology. Operating at the intersection of Clinical Leadership, Operations, Data Analytics, Finance, and Product, you will establish common performance definitions, build scalable measurement frameworks and executive dashboards, diagnose systemic performance variation, and translate data insights into operational management systems. The ideal candidate brings strong healthcare analytics and performance expertise—combining hands-on quantitative data fluency and systems thinking with proven operational judgment in a complex healthcare environment. What You’ll Do: Performance Architecture & Vision: Define the multi-year roadmap for provider performance measurement and management across therapy, coaching, medication management, high-acuity care, substance use treatment, neuropsychology, and future service lines. Establish a unified performance architecture that appropriately accounts for differences in clinical disciplines, care modalities, and patient populations. Metric Logic & Data Governance: Partner with Clinical, Analytics, Finance, and Operations leaders to define the exact metrics and methodologies for provider supply, availability, active panel capacity, schedule utilization, productivity, and access. Establish standardized metric definitions, governance, and single sources of truth across the enterprise. Analytics, Dashboards & Decision Support: Translate performance strategy into actionable dashboards, scorecards, forecasting capabilities, and decision-support tools. Ensure data is tailored for action across all levels—from frontline providers and clinical managers to service-line and C-suite leadership. Systemic Diagnosis & Capacity Oversight: Develop scalable approaches to model provider capacity across employment models (W2 vs. 1099), clinical specialties, and care modalities. Partner with service-line leaders to establish appropriate productivity expectations and identify the operational drivers of provider availability and utilization. Ownership of Provider Reviews & Escalations: Establish mechanisms for provider goal setting, performance reviews, and escalations. Partner closely with Clinical Leadership and People teams on appropriate ownership of individual provider performance. Executive Reporting & Business Reviews: Develop executive-level reporting and recurring business-review mechanisms (WBRs/QBRs) that clearly communicate network trends, variations, risks, and opportunities, helping senior leaders translate insights into organizational priorities and investment decisions. Team Scaling & Cross-Functional Leadership: Build, mentor, and develop a high-performing operations and analytics team, and serve as a trusted partner to senior leaders across Clinical, Operations, Analytics, Finance, Product, and People to build alignment. Core Requirements: 8–12+ Years in Healthcare Analytics, Health-Tech Operations, Care Delivery, or Strategy: Proven experience leading complex analytical or operational initiatives within health systems, care delivery organizations, multi-site medical groups, tech-enabled health platforms, value-based care, or healthcare management consulting. 5+ Years of Direct People Management: Demonstrated track record of scaling high-performing analytics or operations teams and fostering a culture of disciplined problem-solving. Systems Thinking & Problem Structuring: Exceptional ability to break down complex, ambiguous business problems, define underlying metric frameworks, isolate root-cause drivers, and translate quantitative insights into clear operational solutions. Quantitative Data Fluency: Hands-on technical data comfort (e.g., SQL, BI platforms like Domo/Tableau/Looker, data schema scoping) with a strong track record of partnering directly with Data Science, Engineering, and BI teams on data modeling and metric logic. Strategic Clinical & Executive Partnership: Proven track record of collaborating effectively with non-technical executive stakeholders—especially clinical or medical leaders—to build buy-in, translate complex data, and establish shared operational goals. Preferred Experience: Direct Care Delivery & Provider Analytics Depth: Prior experience specifically designing provider performance measurement frameworks, capacity models, or schedule utilization metrics within a medical group, health system, or direct care delivery organization. Complex Network & Employment Scaling: Experience managing performance metrics or capacity modeling across heterogeneous clinician types (e.g., prescribers vs. therapists) or hybrid employment models (W2 vs. 1099). "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Director, Provider Performance & Analytics, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $134,000 - $184,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include: Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave 401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more! We can’t wait to meet you.

Location: United States of America Workplace: Remote Veda builds vault infrastructure for DeFi at scale. We manage Billions in total value locked across 15+ blockchain networks, powering yield strategies for partners including Kraken, Etherfi, MetaMask and Plasma. Our protocol turns complex multi-chain DeFi positions into simple vault interfaces that institutional and retail users can actually trust. We seek individuals with high agency to join us in defining the next phase of DeFi growth and adoption. The ideal candidate takes ownership, thrives in a fast-paced environment, and adapts swiftly to evolving demands. ROLE The Compliance Director is responsible for overseeing Veda’s global compliance framework, ensuring that its vault infrastructure and DeFi strategies operate in full compliance with applicable laws, regulations, and industry standards. This role focuses on maintaining robust compliance controls across Veda’s products, partnerships, and operations, with an emphasis on custody, data protection, and regulatory requirements. The Compliance Director will report to and work closely with Veda’s General Counsel to ensure the proper policies and procedures are in place to support Veda’s operations and the compliance needs of our partners, address regulatory issues, and help create a culture of integrity and accountability throughout the organization. WHAT YOU’LL DO Regulatory Compliance & Oversight - Design, implement, and maintain Veda’s compliance programs, policies, and procedures covering AML/CFT, sanctions, data security, third party diligence, and more. - Monitor and interpret regulatory developments affecting decentralized finance. - Ensure that Veda’s products and client integrations comply with relevant financial and data protection laws (e.g. GDPR, or equivalent regional frameworks). - Manage compliance due diligence for client and partner relationships. - Act as primary compliance contact for regulators, auditors, and enterprise partners. Program Execution & Monitoring - Conduct ongoing monitoring and internal reviews to assess compliance with regulatory and operational standards. - Lead internal investigations and ensure timely remediation of compliance issues. - Maintain and report compliance metrics to the General Counsel and executive leadership. - Coordinate responses to external audits, certifications, and regulatory examinations. Policy & Control Management - Oversee and update compliance documentation, including AML policies, data retention, and information security standards. - Support risk assessments and control testing to ensure ongoing compliance and operational resilience. - Partner with Product, Security, and Engineering teams to align product design with compliance and privacy-by-design principles. Training & Awareness - Develop and deliver targeted compliance training programs for staff. - Promote a proactive compliance culture across all levels of the company. WHAT WE’RE LOOKING FOR - 5+ years of compliance or regulatory experience in fintech, financial services, or crypto. - Knowledge of AML/CFT regulations, data protection laws, and financial regulatory frameworks relevant to crypto and DeFi. - Experience managing compliance programs in regulated or partner-facing environments. - Passion and familiarity for decentralized finance and open-source ecosystems. - Proactive, self-directed, and comfortable operating in a fast-moving startup environment. WHY JOIN US? - Help shape the technical foundation of a rapidly growing DeFi ecosystem - Work directly with top-tier fintechs, protocols, and institutional partners - High autonomy and ownership in an early-stage, fast-moving team - Competitive compensation - Fully remote and globally distributed COMPENSATION AND BENEFITS Your level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge, skills and direct experience. Base salary is just one part of your total rewards package at Veda. If you are in the United States, you will also receive access to comprehensive medical, dental, and life insurance in the US.

Location: Remote Workplace: Remote Our Team Dandelion Health unlocks a layer of unexplored clinical depth that has been previously inaccessible at scale. By combining all the raw multimodal data from community health systems with validated AI models, we deliver regulatory-grade scientific insights and products that give teams the evidence to design better trials, enroll the right patients, and generate AI-powered insights that drive confident decisions across the development and commercial lifecycle. Your Role You are an ambitious and experienced Product Manager. As the Staff Product Manager – Life Sciences, you will be responsible for defining and executing the product strategy for Dandelion’s life science data products. This role is hands-on and strategy-driven, focused on translating market and customer insights into a clear product vision, roadmap, and shipped outcomes. You will lead product discovery and strategy efforts across Dandelion’s life science offerings - identifying high-leverage problems to solve, evaluating opportunities, and making prioritization decisions that balance customer needs, platform scalability, and long-term business impact. You will work closely with commercial, engineering, and data science partners to define product requirements, shape technical approaches, and drive execution from concept through launch. Your focus will be on building scalable, repeatable data products rather than bespoke customer solutions. This role is ideal for someone who enjoys owning product strategy end-to-end, thrives in ambiguity, and wants to operate at the intersection of life sciences, data infrastructure, and applied AI - with deep ownership over what gets built and why. Finally, you are not afraid to get your hands dirty - this is a small, early-stage company with enormous ambitions and everyone pitches in to do everything. You will report directly to the Chief Technology Officer. Responsibilities - Define and own the product vision and roadmap for Dandelion’s life science data products, aligning customer needs, technical feasibility, and business strategy. - Lead product discovery and strategic research, including market analysis, problem validation, and targeted customer interviews to inform roadmap decisions. - Identify high-impact opportunities to build scalable data products and applications for life science and clinical development use cases. - Translate product strategy into clear product requirements, success metrics, and prioritization frameworks. - Design and implement AI-enabled automation and workflows that improve data access, analysis, and clinical development processes for life science customers - Partner closely with engineering and data science to shape technical approaches, make tradeoffs, and drive execution from concept through launch. - Evaluate product performance and usage to iterate on features, improve outcomes, and guide future investment. - Stay current on life sciences, clinical development, and clinical AI trends, using industry insight to inform product direction and differentiation. Qualifications - Bachelor's degree - 7+ years total experience, 4+of proven experience building data products or platforms for life science or healthcare customers. - Strong product discovery and strategy skills, including leading customer interviews and translating insights into roadmap decisions. - Technical fluency, including comfort working with: - Data infrastructure - LLMs to build prototypes and demos - Experience partnering closely with engineering and data teams to deliver complex products. - Strong communication skills, with the ability to engage both technical and non-technical stakeholders. - Comfortable operating in ambiguity and wearing multiple hats in an early-stage company Preferred: - Experience building 0→1 products or taking early products to scale for life science customers - UX or product design experience, with strong intuition for customer workflows and usability. - Prior data science or analytics experience. Team Benefits - Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum - Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details - Professional development days to build your skills - Collegial work environment - Academic bent towards inquiry and problem solving but start-up speed and flexibility - Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively - Dandelion is a mission-driven company that is focused on improving patient care

Location: Remote WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU Box is looking for a Business Systems Analyst III (Marketing Systems) to join our Enterprise Systems team to own and scale critical Marketing technology platforms, with a primary focus on Iterable and TrustArc. This role partners closely with Marketing Operations teams to deliver scalable, compliant, and data-driven solutions that support Box’s go-to-market strategy. As a BSA III, you will independently drive medium to high-complexity initiatives, act as a subject matter expert for assigned platforms, and serve as a trusted advisor to business stakeholders. You will influence the marketing systems roadmap, balance run-the-business support with strategic initiatives, and ensure solutions align with long-term platform scalability and compliance requirements. WHAT YOU'LL DO Serve as the primary BSA owner for Marketing platforms, with deep ownership of Iterable and TrustArc Partner with Marketing Operations, to provide consultative guidance on system capabilities, limitations, and best practices Independently lead end-to-end delivery of marketing technology initiatives, including discovery, requirements definition, backlog management, UAT coordination, and go-live readiness Translate complex marketing, data, and compliance requirements into clear functional specifications and user stories Design and support data integrations and pipelines using SnapLogic, collaborating closely with Engineering and Data teams Use SQL to analyze data, validate integrations, troubleshoot issues, and support marketing reporting and segmentation needs Evaluate current-state processes, perform fit-gap analysis, and recommend scalable, compliant marketing solutions Collaborate in an agile delivery model with Enterprise Systems, Engineering, Data, and external vendors to ensure high-quality outcomes Manage and prioritize run-the-business work, including enhancements, defects, and operational issues Contribute to the Marketing Systems roadmap, providing input on effort estimation, dependencies, and delivery sequencing WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. Bachelor’s degree in Computer Science, Engineering, Business, Economics, or a related field 3+ years of Business Systems Analyst experience supporting enterprise applications Experience with Marketo , including marketing automation, campaign management, and Salesforce integration. Strong hands-on experience with Iterable, including campaigns, journeys, segmentation, data ingestion, and integrations Experience supporting TrustArc or similar consent and privacy platforms in a marketing or data environment Proven experience with SnapLogic, including designing, supporting, or troubleshooting integration pipelines Strong SQL skills for data analysis, validation, and issue resolution Solid understanding of lifecycle marketing, customer engagement, and marketing automation workflows Demonstrated ability to independently own techno-functional deliverables across analysis, design, testing, and deployment Strong stakeholder management and communication skills Preferred skills: Experience with additional MarTech, cloud computing or CDP platforms such as GCP, Segment, Marketo. Familiarity with event-based tracking, customer data platforms, and downstream analytics Experience in a SaaS, B2B, or high-growth technology environmen Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . United States Pay Range $110,500 — $138,000 USD

Location: Remote - Bengaluru, India MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a highly technical, visionary, and customer-centric Field CTO to act as our premier technical ambassador. In this role, you will bridge the gap between MinIO’s engineering innovation and the strategic business needs of our largest, most complex enterprise customers. As a Field CTO, you will engage in peer-to-peer conversations with enterprise C-suites (CIOs, CTOs, CDOs) and lead architectural discussions with principal engineers. A deep, hands-on understanding of modern AI architectures (LLMs, RAG, deep learning pipelines) and modern analytics data systems (Iceberg, Delta Lake, Trino, Spark) is mandatory. You will not only evangelize MinIO’s capabilities but also act as a trusted advisor, helping organizations architect their data infrastructure to support next-generation workloads. What You Will Do Executive Advisory & Evangelism: Act as a trusted technical advisor to C-level executives at Fortune 500 companies. Articulate the strategic value of high-performance object storage in the context of AI readiness and data democratization. Architectural Leadership: Design and validate complex, large-scale architectures for enterprise customers. Guide them in integrating MinIO seamlessly into their AI/ML pipelines and modern data lakehouse ecosystems. Industry Thought Leadership: Represent MinIO at major industry conferences, webinars, and meetups. Write technical whitepapers, reference architectures, and blog posts focusing on the intersection of object storage, generative AI, and modern analytics. Pre-Sales & Post-Sales Strategic Support: Partner closely with enterprise sales and customer success teams on high-stakes deals. Unblock technical objections and provide strategic guidance during Proof of Concepts (PoCs) and large-scale deployments. Product Strategy Feedback Loop: Serve as the "voice of the customer" to MinIO’s product and engineering teams. Distill market trends, customer pain points, and emerging AI/Analytics patterns into actionable product requirements. Required Qualifications 10+ years of experience in technical leadership roles (e.g., Enterprise Architect, Chief Architect, VP of Engineering, or previous Field CTO). Demonstrated experience in a customer-facing or evangelist capacity, successfully presenting to both highly technical audiences and C-level business executives. AI & Machine Learning Architectures: Deep architectural understanding of Generative AI and Large Language Models (LLMs) , including Retrieval-Augmented Generation (RAG) workflows and vector databases (e.g., Milvus, Qdrant, Pinecone). Strong knowledge of AI/ML data pipelines and frameworks (PyTorch, TensorFlow, Ray, Hugging Face). Understanding of hardware bottlenecks in AI, specifically the challenge of feeding data to GPUs (GPU data starvation) and how high-throughput storage solves this. Modern Analytics & Data Systems: Expertise in Open Table Formats (Apache Iceberg, Apache Hudi, Delta Lake) and their integration with object storage. Proficiency with modern query engines and compute frameworks (Trino, Presto, Apache Spark, Flink, StarRocks). Solid grasp of the evolution from traditional data warehouses to modern Data Lakehouse architectures. Infrastructure & Cloud-Native Tech: Strong command of Kubernetes, containerization, and cloud-native orchestration. Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems design. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote (Peru) Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding AWS Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are an experienced cloud engineer who understands that operating reliable systems starts with understanding what those systems are doing. You bring deep AWS expertise and have designed observability solutions that give engineering teams meaningful visibility into the health, performance, and behavior of complex applications and infrastructure. You are comfortable working across metrics, logs, traces, dashboards, alerting, and instrumentation, and you know how to turn telemetry into actionable insights, not noise. You communicate clearly with development teams and stakeholders, approach reliability problems methodically, and thrive in a consulting environment where technical environments, clients, and priorities change. What you will be doing Design and implement observability strategies for applications, infrastructure, containers, and distributed systems running in AWS. Build monitoring, logging, tracing, alerting, and visualization solutions using AWS services such as CloudWatch, X-Ray, OpenSearch, Managed Service for Prometheus, and Managed Grafana. Instrument applications and services using OpenTelemetry and other modern observability standards and frameworks. Build meaningful dashboards, alerts, SLIs, and SLOs that help teams identify performance and reliability issues before they impact users. Partner with other engineers to improve observability throughout the software development and deployment lifecycle. Design and manage scalable AWS infrastructure using infrastructure-as-code and cloud-native technologies such as Terraform, Docker, Kubernetes, ECS, and EKS. Analyze production incidents using metrics, logs, and distributed traces to identify root causes and recommend improvements. Help clients improve the performance, reliability, scalability, and cost-effectiveness of their AWS environments while documenting reusable observability patterns and practices. Why you should apply You want to work with passionate, talented people who are always looking for ways to make things better. You value a work environment where kindness, mutual trust, and egoless collaboration are paramount. You have a history of keeping promises, doing what is right, and spending energy on what matters. You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks. You want to work on projects that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table Deep hands-on experience designing, building, and operating production environments in AWS across core infrastructure, networking, security, and container services. Strong experience designing observability solutions across metrics, logs, traces, dashboards, alerting, and application performance monitoring. Hands-on experience with AWS services such as CloudWatch, X-Ray, OpenSearch, Managed Prometheus, and Managed Grafana, along with OpenTelemetry and tools such as Prometheus, Grafana, Datadog, Dynatrace, New Relic, or Splunk. Experience defining SLIs, SLOs, and alerting strategies and using telemetry to troubleshoot incidents, perform root cause analysis, and improve system reliability. Experience with infrastructure-as-code and cloud-native technologies such as Terraform, Docker, Kubernetes, Amazon ECS, or Amazon EKS. Strong scripting and automation skills using languages such as Python, Bash, or PowerShell. Excellent written and verbal communication skills and the ability to explain complex infrastructure, reliability, and observability concepts to technical and non-technical stakeholders. Bonus points if you… Hold relevant AWS certifications, such as AWS Certified Solutions Architect or DevOps Engineer Have experience designing observability solutions for large-scale distributed systems or microservices architectures. Have experience with SRE, incident management, production operations, or optimizing telemetry volume and observability costs at scale. Have a background working directly with clients in a consulting or professional services environment. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.

Location: Remote - USA At Clover Health, we are committed to providing high-quality, affordable, and easy-to-understand healthcare plans for America’s seniors. We prioritize preventive care while leveraging data and technology through the Clover Assistant, a powerful tool that helps physicians make informed health recommendations. By giving doctors a holistic view of each member’s complete health history, we ensure better care at a lower cost—delivering the highest value to those who need it most. The Finance organization owns product strategy and bid development, long term profitable growth strategy and new market evaluation and execution, and strategic projects. In this role, you will report to the Chief of Staff to the CFO. Clover Health is seeking a dynamic, strategic, and highly analytical leader to join our team as the Senior Manager, Medicare Product & Market Intelligence. This pivotal role is responsible for long-term profitable growth strategy, bid strategy and pricing, AEP planning, and execution of strategic projects. Reporting to the Chief of Staff to the CFO, this role will lead the development and execution of Medicare growth, product, and bid strategies, bringing together financial, market, operational, and competitive insights to influence enterprise decisions. The Senior Manager will frame strategic options, recommend tradeoffs, and align cross-functional leaders around plans that support profitable growth. This is an ideal opportunity for a strategic thinker who excels at complex problem-solving and can translate data into actionable, market-specific plans, and execution. As a Senior Manager, Medicare Product & Market Intelligence, you will: Bid Strategy & Program Management: Lead the annual bid development process, ensuring alignment between strategic goals, financial targets, and benefit design. Define the PBP-specific strategy considering positioning, growth potential, MCR targets, and service area. Recommend innovative supplemental benefit offerings. Competitive Intelligence: Build and lead Clover’s competitive intelligence capability, integrating competitor enrollment, benefit design, pricing, market strategy, and broader industry trends into recommendations that shape product, bid, and market decisions. Develop scalable, AI-enabled tools and frameworks that enable ongoing use across the organization. Product Strategy: Evaluate the performance and strategic fit of the product portfolio. Develop and present data-driven recommendations for product enhancements, repositioning, or new plan launches to achieve profitable growth. Benefit Strategy: Shape detailed strategy for benefit changes, partner with Actuarial on financial impact and Growth team on sales impact and competitive positioning. P&L Modeling: Develop and interpret multi-year scenario models to forecast membership growth and financial performance and inform long-term strategic decisions. New Market Evaluation and Execution: Drive evaluation of new geographic markets. Develop and execute the playbook for market entry, defining resource needs, key milestones, and cross-functional ownership from initial analysis to operational launch (network adequacy, bid strategy, growth execution). Performance Reporting: Oversee analysis and preparation for monthly business reviews in partnership with the Chief of Staff. Special Projects: Lead the evaluation and strategy development for innovative partnerships and other priority growth initiatives. Execute and own projects end to end, from recommendation through implementation. Success in this role looks like: Successfully leading the annual bid process in partnership with the Chief of Staff, delivering a competitive and financially sound product portfolio that supports profitable membership growth. Acting as a SME with Clover’s and competitor’s benefits, and working cross-functionally with Actuarial, Finance, Growth, and Operations to implement benefits. Owning the development and launch of new, scalable AI-enabled tools and reports that provide actionable competitive intelligence to leadership and key business partners. Creating robust enrollment and financial models that directly inform and influence the company's long-term growth strategy, including decisions on product design and new market entry. You should get in touch if: Bachelor’s degree in Finance, Economics, Business, Healthcare Administration, or a related field; MBA or other advanced degree highly preferred. 7-10+ years of experience in strategic planning, corporate development, finance, or management consulting, with a strong preference for experience within the Medicare Advantage or managed care industry. Exceptional quantitative analysis skills; ability to build and manage high level multi-year financial and membership scenario models. Deep understanding of Medicare Advantage economics, bid mechanics, and the drivers of profitable growth. Deep understanding of Medicare benefits and pricing. Demonstrated experience leading market expansion or new product development projects from concept to execution. Proven ability to analyze competitor strategies and market trends to inform business decisions. Excellent project management skills and experience leading large-scale, cross-functional initiatives. Outstanding communication and presentation skills, with the ability to distill complex information into clear, actionable insights for an executive audience. A proactive, results-oriented mindset with the ability to thrive in a fast-paced, dynamic environment. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $129,200 — $168,000 USD

Location: Remote (USA) Workplace: remote Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes.  Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility.  Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation.    Why This Role Is Important to Arcadia Arcadia’s data and analytics platform is used by hundreds of health systems, ACOs, payers, and life sciences organizations, touching tens of millions of patient lives. This role owns how our agentic capabilities perform at that same scale: accurate, transparent about their own confidence, and safe for the clinicians, care teams, and patients who depend on them.  As a staff-level individual contributor, you will own the product-layer decisions that shape agent behavior, including prompting, retrieval and context, memory and state, evaluation, and escalation, while partnering with Product and Engineering on the systems that support them. Your work will help Arcadia make evidence-based launch decisions and scale responsible AI that is steerable, trustworthy, and ready for real healthcare workflows.    What Success Looks Like In 3 months You have established a production-grounded baseline for priority agentic workflows, with documented failure modes, severity-weighted evaluation rubrics, and a clear measurement plan You have mapped the current retrieval, context, memory, and escalation patterns and identified the highest-value opportunities to improve reliability, calibration, and cost You have earned trust across Product and Engineering by turning production evidence into clear, actionable recommendations In 6 months What You'll Be Doing Design and iterate on agent behavior across real, live workflows, including long- horizon , multi-turn agentic tasks Design retrieval and context architecture so the right source data reaches a model in the right structure and agents remain grounded in real data rather than filling gaps with assumptions Design memory and state handling across multi-turn and multi-agent flows, determining what is carried forward, summarized, or dropped and why Create context and prompt templates that combine few-shot examples, structured formatting, and reasoning scaffolding for consistent agent behavior Improve performance through prompting, tool-use strategy, and context construction, validated through direct experimentation rather than guesswork Build and run evaluations against real production conditions to measure performance, regressions , failure modes, and edge cases Author evaluation rubrics, quality heuristics, and thresholds that weight failures by severity and cost , not just frequency , and monitor those measures against production behavior Design and validate escalation paths that route agents to human review based on confidence and uncertainty while preserving safety and consistency under adversarial and edge-case conditions Design for cost-aware performance alongside latency, reliability, and accuracy through efficient context construction and tool-call economy Evaluate and sign off on model changes by baselining current behavior, running comparative evaluations, and making the go/no-go call before a change reaches a customer Maintain product-level AI documentation, including model cards, intended use, limitations, and known failure modes, so customer-facing teams work from actual agent behavior Partner closely with Product and product managers to ensure agents are not just capable, but steerable, trustworthy, and ready to scale What You'll Bring Bachelors degree in Engineering or related field and/or masters of Data Science or related field 4+ years of production software engineering experience, including 3+ years of hands-on ownership of ML, LLM, or agentic systems in production, with direct experience in healthcare, finance, or another regulated industry Demonstrated ability to diagnose why an agent failed, correctly attribute the fix to instruction, retrieval, context, or memory design, and weigh failures by severity and cost rather than frequency alone Hands-on experience with RAG architecture, production-grounded evaluation frameworks, and fallback or human-in-the-loop logic for automated systems Working familiarity with AWS AI/ML services, including Bedrock and SageMaker, sufficient to build and evaluate effectively in Arcadia’s environment Evidence-led judgment and the credibility to push back on launch decisions, paired with a builder’s instinct to run the experiment and move from a production failure to a fix Would Love for You to Have Experience applying AI to healthcare data or workflows where safety, transparency, and calibrated uncertainty directly affect care teams or patients Experience with long-horizon, multi-turn or multi-agent workflows and product-level AI documentation such as model cards What You'll Get The opportunity to define how agent performance, safety, and readiness are measured for production healthcare workflows Meaningful ownership across prompts, context, memory, evaluations, and escalation patterns at product scale A cross-functional role translating production evidence into AI improvements used across Arcadia’s platform A mission-driven company working to improve how patients receive care A flexible, remote-friendly culture with personality and heart Employee-driven programs and initiatives for personal and professional development Membership in the talented, energized, diverse, and purpose-driven Arcadian community About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Ciudad de México, Mexico Workplace: hybrid Location: Mexico City (Hybrid for Mexico location and remotely for others locations) | Department: Strategy D&A Office Company: NOVACARD Be part of NOVACARD’s transformation into a truly data-driven fintech. We’re looking for a Strategy & Data Governance Analyst — a key contributor bridging business strategy, financial analytics, and enterprise data management. Your mission is to build a data-empowered decision culture: translate data into strategic insights, ensure data quality and governance, and support data-driven business planning. 📝 What You’ll Do – Responsibilities: 📈 Drive Strategic Analytics ·       Analyze company performance across key fintech metrics: acquisition, activation, retention, monetization, and churn. ·       Build and maintain unit-economics models to evaluate channel profitability, LTV/CAC dynamics, and payback periods. ·       Identify growth drivers, operational inefficiencies, and levers for strategic improvement. ·       Provide analytical support for strategic planning, quarterly targets, and investment prioritization. 🧠 Lead Data-Driven Transformation ·       Design and implement a framework for data-driven decision-making across departments. ·       Establish standardized KPI definitions, reporting hierarchies, and accountability chains. ·       Support leadership in translating business goals into measurable data objectives. 🧩 Build Data Governance Framework ·       Coordinate creation and maintenance of core governance artifacts: ·       Metadata descriptions ·       Enterprise Data Catalog ·       Data Lineage (technical and business flow mapping) ·       Business Glossary (data stewards and owners register) ·       Data Quality Rules & Profiling metrics ·       Data Observability & Monitoring dashboards ·       Collaborate with IT, Data Engineering, and Product teams to ensure reliable and transparent data flows. 🔍 Maintain Data Quality & Trust ·       Define and monitor data quality KPIs: completeness, consistency, timeliness, and accuracy. ·       Investigate data anomalies and drive root-cause analysis with responsible teams. ·       Build automated data quality and observability processes within DWH and reporting layers. 🧪 Run Strategic Experiments ·       Design and analyze A/B and multivariate tests supporting product and business hypotheses. ·       Measure incremental impact of product, pricing, and communication changes on key business metrics. ·       Apply statistical rigor to evaluate significance and scalability of experimental results. 📊 Deliver Executive Insights ·       Develop dashboards and reports that translate complex data into actionable recommendations for management. ·       Support financial planning, forecasting, and scenario analysis with data-driven models. ·       Ensure consistent alignment between operational KPIs and strategic company goals. 🤝 Cross-Functional Collaboration ·       Act as an interface between Strategy, Product, Data, and Finance teams. ·       Promote data stewardship culture and educate teams on proper data usage and governance principles. ·       Facilitate adoption of data-governance tools and processes across the organization. 📝 Regular Tasks: ·       Maintain financial and operational KPI dashboards in Power BI (or similar). ·       Conduct deep-dive analyses on acquisition, retention, and monetization metrics. ·       Support management in quarterly OKR reviews with analytical insights and forecasts. ·       Curate metadata, lineage, and glossary entries for critical datasets. ·       Track implementation of governance policies and compliance with data ownership model. ·       Evaluate effectiveness of data quality monitoring tools and workflows. ·       Prepare and present analytical materials for leadership and board-level reviews. 💻 Skills & Tools: ✅ SQL – advanced level for analytics and governance queries. ✅ Python – for modeling, statistical analysis, and data validation. ✅ Power BI (or similar-  Tableau, Looker etc) – for data storytelling and executive reporting. ✅ Data Governance Platforms – experience with Ataccama, Collibra, Alation, OpenMetadata or etc. ✅ DWH & Integration – understanding of pipelines, data lineage, and data catalog integration (Postgres, etc.). ✅ Statistics & Experimentation – hypothesis testing, regression, causal inference, cohort analysis. ✅ Financial & Strategic Analysis – familiarity with unit economics, LTV, CAC, margin modeling. 🌟 Soft Skills: 🗣️ Strategic Communication – ability to distill analytical insights into concise strategic narratives for executives. 🧩 Systems Thinking – connects operational processes, data flows, and financial outcomes. 📋 Project Management – coordinates cross-team governance initiatives. 🔎 Critical Thinking – detects weak points in data logic and decision frameworks. 🤝 Stakeholder Leadership – builds alignment among Product, Risk, Marketing, Operations, Legal, Finance, DWH and IT. 🚀 Change Catalyst – inspires teams to adopt data-driven practices and maintain analytical discipline.

Location: United States, Aliso Viejo, 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. Senior Software Engineer – Applied AI & Streaming Aliso Viejo, CA The vision We think AI will change what cloud gaming can be. It can make streamed play faster, more personal, and more accessible, and in some ways better than playing locally. As a Senior Software Engineer on our team, you'll build agents and inference-backed systems into a real-time streaming platform and ship them to players. You'll work where AI meets performance-sensitive systems, and a lot of the problems here are still being defined. What you'll do Design, prototype, and ship AI-powered capabilities across our streaming platform and player experience. Apply inference and agents to real-time performance, player engagement, personalization, and accessibility. Use AI to understand, optimize, and evolve large existing codebases, including our streaming stack. Build and extend our platform in C++, and help shape the technologies and architecture we use next. Build what production AI needs: evaluation, telemetry, guardrails, fallbacks, and attention to latency and cost. Turn ambiguous ideas into demos and experiments, measure what works, and harden it for production. Work AI-natively every day, using coding agents, automation, and rapid exploration, and help the team do the same. Work with a small, focused engineering team and with partners across streaming, platform, and cloud. You're a great fit if you have A BS in Computer Science or a related field, or equivalent practical experience. Senior-level software engineering experience with a track record of owning complex systems end to end. Strong C++ skills from professional work in production codebases. Hands-on experience building and deploying agents or AI-powered features in production. You've worked through evals, regressions, latency, cost, and the ways these systems fail. A strong grasp of how to turn models into products, including context and prompt design, tool use and orchestration, memory and retrieval, model selection, and where inference should run. Fluency with AI-native engineering workflows. Product judgment. You can tell when AI makes an experience better and when it's a gimmick. The ability to work in ambiguity, move quickly, and keep momentum as priorities change. Clear communication, strong ownership, and a habit of making the people around you better. Bonus XP Python, Rust, or other languages used to build and serve AI systems. Low-latency or on-device inference, model optimization, or GPU experience. Real-time media, game streaming, graphics, or video experience. Cloud infrastructure, distributed systems, or production platform experience. Experience building conversational or agentic experiences for games or interactive products. Linux or Windows systems experience. Japanese language or cross-cultural collaboration experience. You enjoy playing video games. Why join us Work on AI problems most engineers never get to. In real-time systems, every millisecond counts, and so does every inference call. Help set the direction. Our AI strategy is still taking shape, and you'll help decide what we build, not just how. Get real ownership. You'll join a small, senior team where ideas go from prototype to production quickly. 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. $177,300 — $265,900 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.