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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. Responsibilities Own the commercial relationship for a book of existing customers. Drive expansion opportunities by identifying upsell and cross-sell needs. Lead and manage the renewal process, including pricing discussions and contract negotiations, for those customers going out to RFP/RFI for renewal. Partner with Customer Success Managers to align on strategic account plans and customer objectives. Understand customer business models, usage trends, and product adoption to inform growth strategies. Maintain accurate forecasts and updates in Salesforce or CRM. Collaborate cross-functionally with Product, Marketing, and Support teams. Qualifications 12+ years of experience in account executive, customer success, or renewal-focused sales roles. Proven ability to meet or exceed expansion and renewal targets. Excellent communication and stakeholder management skills. High emotional intelligence (EQ); skilled at building trust and handling objections diplomatically. Strong analytical mindset; ability to leverage customer data and product usage insights. Comfortable with contract terms and commercial discussions. CRM proficiency (Salesforce, Gainsight, or equivalent). Preferred Qualifications Experience in B2B healthcare companies Experience working in a CS-led or post-sale sales model. Understanding of the healthcare landscape and customer pain points. What Success Looks Like 95%+ renewal rate on owned accounts Measurable expansion revenue from upsell/cross-sell activity Consistently positive feedback from CSM and cross-functional partners Deep account mapping and commercial forecasting accuracy "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 Sr. Customer Development Executive, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $171,000 to $236,000 The base salary is determined by role and level, and the base salary 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 commission payments.  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: Munich As Asana transitions from Collaborative Work Management (CWM) to Agentic Workflow Management (AWM), you will lead enterprise customers through that same transformation — helping them define what AI-powered work looks like for their organization, aligning stakeholders around a shared adoption plan, and driving measurable impact across their highest-value workflows. You will design and lead structured, time-bound engagements from onboarding through workflow launch, guiding teams and AI agents to execute work together seamlessly. Partnering closely with executive sponsors and frontline teams, you will navigate ambiguity, create operational clarity, and connect AI capabilities directly to meaningful business outcomes. This role is based in our Munich office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wedne sdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements What you’ll achieve Lead structured onboarding and deployment engagements in partnership with Customer Success, Sales, Solutions, and R&D to drive adoption of Asana AI. Align enterprise stakeholders on platform setup, workflow priorities, and shared success metrics while assessing workflow complexity to deliver early impact. Document and hand off comprehensive implementation plans, capturing prioritized workflows, mitigation strategies for known risks, and clear milestones. Guide customers end-to-end through workflow design, discovery, process mapping, configuration, and user acceptance testing with embedded Asana AI capabilities. Coordinate cross-functional delivery across time-bound engagements, aligning workflow owners, IT, and business stakeholders from kickoff through training and launch. Develop documentation and forward-looking roadmaps that define how customers scale Asana AI usage, including expansion recommendations. Conduct recurring customer check-ins alongside account teams to assess workflow performance, adoption metrics, and identify new implementation opportunities. Surface expansion signals to internal partners and establish repeatable delivery frameworks and best practices across the implementation team. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Proven customer-facing implementation or consulting experience leading structured onboarding or deployment engagements within a SaaS company or consulting firm. Experience deploying enterprise AI tools, AI-powered workflows, agent orchestration, or platform implementations involving data governance. Demonstrated ability to guide customers through AI change management, building confidence and managing user adoption friction with empathy. Track record of managing multiple enterprise workstreams and executive stakeholders simultaneously while maintaining timeline and milestone accountability. Strong facilitation skills with the ability to translate complex customer feedback into actionable platform configurations and long-term adoption plans. Bias toward action with the ability to navigate ambiguous environments, make sound decisions with incomplete data, and establish operational momentum. Clear, structured communicator skilled at translating complex technical workflows into ac tionable future states for executive sponsors, workflow owners, and cross-functional teams. At Asana, we're committed to building teams that include a variety of back grounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet every list ed requirement, we still encourage you to apply . What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission . We believe that compensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not i mpacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit . For this role, the estimated base salary range is between €104,000 - €132,000. The actual base salary will vary based on various factors, including market and individual qualific ations objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may i nclude addit ional components such as equity, sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . We strive to provide equitable and competitive benefits packages that support our employees worldwide and include : Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-te rm savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Bellevue, United States q What you'll do: Conduct supplier selection for a specific product, leveraging our approved supplier list Partner with strategic suppliers to accelerate product development via activities such as: Concept scoping to quickly solidify requirements Feature trade-off / trade tables Should cost / Clean sheet models Joint design development, via clear statements of work Drive the development and consolidation of a manufacturing BOM, working with Quality & Manufacturing, to ramp production internally and with our suppliers with high flexibility Accountable for all NPI component procurement, on-time and correctly, to scale Manage the CAPEX throughout NPI Conduct value-stream mapping to optimize supply network lead time and flexibility Complete the BOM risk assessment, include alternate component sourcing, etc. Ensure completion of all vendor component qualifications, ahead of production Reduce complexity: commonality optimization & component/supplier rationalization Lead all cost engineering activities to converge the bottoms-up cost curve to product cost, maximizing the total cost of ownership (TCO) across the product lifecycle Manage ad-hoc cost issues e.g., tariffs / import export cost, and cost inflation Required qualifications: 5+ years of experience, ideally has background within: Design & development of electronics and/or mechanical devices Advanced sourcing activities, including stints as commodity/sourcing managers Supplier development (technology, process, supply chain, etc.) Early supplier engagement, ahead of product/engineering requirement realization Domain expertise must include value/procurement engineering or TCO-related work at the component & product level. Familiarity with developing high-tech products in a high-mix, low-volume environment Strong understanding of contracting processes and developing stages of program management Ability to navigate complex contractual landscapes and manage program impacts across multiple stakeholders Excellent stakeholder management and communication skills Strong financial management skills, including budget development and tracking Bachelor’s degree in engineering (BSME, BSEE) or other related technical degree preferred. Willingness to travel as needed (up to 25%) Eligible to obtain and maintain an active U.S. Secret clearance Preferred qualifications: Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth Experience with both hardware and software development lifecycles PMP certification or equivalent preferred

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Do you have a love for immersive player experiences, digital play ecosystems, and the iconic world of D&D? We’re looking for a Senior UX Designer to join the design team for the digital tools that power D&D Beyond, the best-in-class digital companion for Dungeons & Dragons. This role is an outstanding opportunity to build innovative, intuitive tools that unlock the magic of D&D for millions of players and Dungeon Masters around the world! This role is a hybrid role requiring three days a week in our Renton, WA office. Responsibilities: Develop UX and UI solutions for D&D Beyond with a strong understanding of product design, systems design, UI style, layout, typography, color, usability, and interaction design Scope plan and deliver design projects independently. Proactively identify, communicate and solve issues impacting the quality of work Deliver appropriate level of design artifacts for the team (e.g., strategy articulation and alignment frameworks, discovery/research results, journey maps, flows, wireframes, high fidelity comps, style guides, etc). Break down experiences thoughtfully with product and engineering for teams to ship value incrementally, making intentional trade-offs that are grounded in a clear perspective. Qualifications: A degree in UX Design, Art, Information architecture, a related design field, or the ability to show equivalent professional experience. Portfolio and/or case study of interactive design work demonstrating excellent design sensibilities and craft skills. Strong visual design direction background, with experience crafting and evolving style guides and design systems in Figma or similar tools. Hands on expertise in responsive web design, and familiarity with mobile app patterns. Ability to think conceptually in both visual and interface design, going beyond function to bring a point of view about design. Excellent verbal and written communication and collaboration skills working with cross functional teams that include product management and engineering. Comfortable with using data to advise design decisions (and working with incomplete data when needed) A growth mindset for pushing yourself, the team, and the product towards continuous improvement. Nice to Have: Experience with design systems for multichannel products specifically with multi-brand architecture. A love and passion for D&D and tabletop RPGs. Background in both traditional product design and UX for the games or entertainment industry. #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $112,000 — $168,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: New York; Atlanta Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. The Sr Specialist, Enterprise Ramp Management converts complex, enterprise deals into live, revenue-generating merchants through a disciplined, end-to-end launch process. The role owns the journey from merchant commitment through successful go-live, early ramp, and transition to Account Management and Technical Account Management teams. The role builds a bridge between Sales and Account Management and sets a foundation for long-term growth with Checkout.com http://Checkout.com. KEY RESPONSIBILITIES - Own the transition from merchant commitment through launch: Confirm scope, commitments, stakeholders, dependencies, and target dates, then turn them into an executable launch plan. - Run the integrated delivery plan: Establish milestones, owners, meeting cadence, decision records, risk and issue tracking, dependency management, and escalation paths across the company and the merchant. - Lead client governance: Run project kickoffs, working sessions, and status reviews. Circulate agendas and decisions, track actions with owners and due dates, and maintain a clear record of what is complete, next, blocked, or awaiting a decision. - Communicate progress, risks, and recovery options: Provide concise and regular updates on accomplishments, upcoming work, blockers, risks, decisions required, and the impact of any change to the plan. - Drive launch readiness: Coordinate technical, operational, commercial, and customer readiness criteria. Lead the launch decision, cutover planning, and the initial support period after launch - Deliver a clean transition to the account team: Transfer implementation status, performance baseline, stakeholder map, open risks, operating model, growth opportunities, and every remaining action with a named owner and due date. IDEAL CANDIDATE - 5+ years of experience in enterprise project or program management, ideally in payments, fintech, or complex B2B SaaS implementations. - Proven experience delivering complex, multi-workstream customer launches across technical, operational, and commercial stakeholders. - Strong project governance skills, including critical-path management, risk and dependency tracking, scope control, executive communication, and escalation management. - Coordinate with technical stakeholders to translate business requirements into technical actions - Commercially minded, with a focus on time-to-revenue, customer value, and long-term account potential. - Effective at building customer trust, and coordinating teams across functions, geographies, and time zones. - Passionate about building repeatable playbooks, and energized by refining and improving processes, as this is a new merchant-facing role. Nice to have: Experience as an Implementation Manager, Launch Manager, Enterprise Onboarding Project Manager, Technical Program Manager, or equivalent; formal project management certification (PMP) is helpful but not required. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: United States What you'll do: Conduct supplier selection for a specific product, leveraging our approved supplier list Partner with strategic suppliers to accelerate product development via activities such as: Concept scoping to quickly solidify requirements Feature trade-off / trade tables Should cost / Clean sheet models Joint design development, via clear statements of work Drive the development and consolidation of a manufacturing BOM, working with Quality & Manufacturing, to ramp production internally and with our suppliers with high flexibility Accountable for all NPI component procurement, on-time and correctly, to scale Manage the CAPEX throughout NPI Conduct value-stream mapping to optimize supply network lead time and flexibility Complete the BOM risk assessment, include alternate component sourcing, etc. Ensure completion of all vendor component qualifications, ahead of production Reduce complexity: commonality optimization & component/supplier rationalization Lead all cost engineering activities to converge the bottoms-up cost curve to product cost, maximizing the total cost of ownership (TCO) across the product lifecycle Manage ad-hoc cost issues e.g., tariffs / import export cost, and cost inflation Required qualifications: 5+ years of experience, ideally has background within: Design & development of electronics and/or mechanical devices Advanced sourcing activities, including stints as commodity/sourcing managers Supplier development (technology, process, supply chain, etc.) Early supplier engagement, ahead of product/engineering requirement realization Domain expertise must include value/procurement engineering or TCO-related work at the component & product level. Familiarity with developing high-tech products in a high-mix, low-volume environment Strong understanding of contracting processes and developing stages of program management Ability to navigate complex contractual landscapes and manage program impacts across multiple stakeholders Excellent stakeholder management and communication skills Strong financial management skills, including budget development and tracking Bachelor’s degree in engineering (BSME, BSEE) or other related technical degree preferred. Willingness to travel as needed (up to 25%) Eligible to obtain and maintain an active U.S. Secret clearance Preferred qualifications: Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth Experience with both hardware and software development lifecycles PMP certification or equivalent preferred

Location: Dublin, Ireland 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. ABOUT THE ROLE: Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact. You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role. WHAT YOU'LL ACHIEVE: - Drive workflow adoption and value realization for a book of named accounts ensuring your customers know how to deliver outcomes with Notion - Contribute directly to NRR with predictable renewal and expansion pipeline and proactive product adoption for your book of business - Partner closely with Solutions Consultants on strategy for expansion and renewal for shared accounts, including owning the commercial opportunity for flat and at-risk renewals - Define and maintain mutual success plans that proactively guide customers through their AI Transformation and demonstrate ROI to executive-level stakeholders with periodic business reviews - Facilitate use-case consultations that guide customers through their continuous Solutions Design and identify new workflow opportunities that drive outcomes and increase value with Notion - Identify opportunities to engage Services for customers with complex or technical implementation needs and partner closely with the Services team throughout delivery to ensure successful outcomes and value delivered - Learn Notion’s product and the broader AI ecosystem inside and out so you can be best suited help customers navigate new ways of working and build durable systems in Notion as the underlying system - Help build and deliver OA programs that generate customer and business outcomes across Notion’s install base. - Set the bar for product and AI fluency across the team and ensure your team masters Notion’s product and maintains an expert-level knowledge of the AI ecosystem. SKILLS YOU'LL NEED TO BRING: - Experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment - Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans - Technical fluency and presence as a trusted advisor—while you won't be building for your customers, you should be capable of co-design, configuring, and troubleshooting Notion workspaces and workflows - Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy - Ability to design and help customers build workflows that drive usage based consumption, connecting adoption patterns to measurable commercial outcomes - Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts - You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems - You’re obsessed with AI, constantly building with the newest tools and learning new ways of working - Fluent in German & English NICE TO HAVES: - Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software - Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path - Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams - Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale 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 range for total on target earnings (including base salary and on target incentive pay) for this role is €94,000-€105,000 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: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Product & Technology Communications Lead to drive visibility for Nebius and our full-stack, purpose-built AI Cloud through impactful storytelling. This is an excellent opportunity for an experienced tech communications professional with strong relationships across tech trade media, new and creator-led media and podcasters, who loves to build. Reporting to the Vice President, Communications – US, you will create strategies, media plans and storylines, partnering closely with our Platform and Product Communications lead and collaborating with the broader Communications, Marketing and Product & Infrastructure teams. This is a hands-on role in which you will manage direct tech media relations in support of new product and infrastructure launches, as well as technology thought leadership and press-facing external speaking opportunities. We’re growing fast, and we need a motivated operator and team player, to turn the pace of our innovation into a clear, credible product and technology story, making sure builders, buyers, the media and influencers can see why it matters. This role is remote based on the West Coast, with a preference for the San Francisco Bay Area. Your responsibilities will include: Launch strategy and planning Develop the communications strategy and media plans for major product and platform launches and technology thought leadership Collaborate closely with the Product & Platform Communications, industry analyst relations and product marketing leads on messaging and storylines that differentiate Nebius in the crowded AI cloud market Map priorities and objectives to key results (OKRs) aligning with Communications leadership Capture and report on insights and measure results against target key results Technical storytelling and credibility Turn deep technical detail into messages and broader storylines that resonate with AI Native, Digital Native and enterprise tech companies. Identify and leverage claims and proof points that will resonate with key audiences , including customer outcomes, performance data, technical deep dives and open-source contributions Media, creator and ecosystem engagement Build relationships with technology, AI and developer media and co-creators on behalf of Nebius Pitch and place stories, run briefings and track what lands Prepare spokespeople for press briefings, interviews and speaking opportunities Support ecosystem moments such as conferences, partner and customer announcements We expect you to have: Strong recent experience in technology communications, product PR or a closely related field, and a track record of demonstrated results Demonstrated depth in AI, cloud and infrastructure, and the technical fluency to engage meaningfully with more technical press and our internal Product & Infrastructure team Exceptional writing and editing, shown through work that is clear, accurate and specific Proven relationships with relevant technology press, co-creator platforms and podcasters Sound judgment on claims, risk and timing. You know what to verify, what to escalate and when to say no Experience influencing stakeholders without formal authority It will be an added bonus if you have: You have worked at an AI lab, hyperscaler, AI cloud or fast-growing infrastructure company You know how to navigate matrix organizations effectively You ae accustomed to working across cultures, regions and time zones Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $121,100 — $151,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, CA; Bellevue, Wa Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role You’ll join a small infrastructure team with broad, shared ownership — the engineers who keep Niantic Spatial running. The team covers the cloud platform, the developer tooling every engineer depends on, and the edge services our customers’ requests pass through. You’ll work across SRE, infrastructure, and developer platform alongside teammates who know the stack well, and you’ll grow into owning parts of it yourself. Because every engineer here builds on what this team provides, your work will also shape how the whole engineering org builds, ships, and operates. What You'll Do - Cloud and SRE: Build and maintain cloud infrastructure as code, and help improve reliability through monitoring, alerting, and service-level objectives. - Developer Platform: Help run our source control, CI/CD pipelines, and build infrastructure so engineers can ship quickly and safely. - Production Operations: Share on-call, take part in incident response and follow-up, and automate away repetitive operational work. - Edge and Delivery: Help run the edge API gateway, CDN, and authentication and authorization systems with the rest of the team. - Compute and GPU Management: Help provision and monitor compute and GPU capacity across teams. - AI-Assisted Operations: Use AI tools to help build, automate, and maintain our infrastructure, and help shape how the team uses them. What You'll Bring - Years of Experience: 3+ years in infrastructure, SRE, DevOps, or platform engineering. - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - Infrastructure as Code: Experience managing infrastructure as code with tools such as Terraform, Pulumi, or similar. - Cloud: Hands-on experience with GCP, AWS, or another major cloud provider in production. - CI/CD: Experience building and maintaining CI/CD pipelines in GitLab, GitHub Actions, or similar. - Containers: Production experience with containers and container orchestration, such as Kubernetes. - Core Technical Skills: Proficiency in at least one programming language such as Python, Go, TypeScript, or C++, plus shell scripting and Linux systems. - AI in Your Workflow: Comfort using AI-assisted tools in your engineering work, or a strong interest in building that habit. We’ll help you ramp up on how we use AI here. Nice to Have - Familiarity with API gateways, load balancers, or CDNs. - Familiarity with modern authentication and authorization, such as OAuth 2.0, OIDC, or cloud IAM. - Experience with GPU workloads or ML infrastructure. - Experience with message queuing systems. Location & Work Model This role is based in our San Francisco or Sunnyvale, CA office, or in Bellevue, WA. We work in a high-collaboration environment and ask team members to be on-site a minimum of 3 days per week. Compensation & Benefits The base salary range for this position is $171,000 - $230,000 for Bay Area candidates and $162,500 - $218,500 for Seattle/Bellevue candidates. Actual salary is based on assessed skills, experience, and location. This role is also eligible for equity, bonus, and benefits. Your recruiter can answer questions about total compensation during the hiring process. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Intellias Meet your recruiter Sushil Francis Borde sushil.borde@intellias.com https://www.linkedin.com... Vacancy details Information Security Security Engineer Senior Bulgaria, Croatia, Egypt, India, Poland, Portugal, Spain, Ukraine, United Kingdom Remote APPLY NOW REFER A FRIEND We are looking for a Security / Policy Engineer to design and implement authorization models for AI agents and cloud-native platforms. The role focuses on AWS AgentCore Policy (Cedar), policy-as-code, OAuth/JWT-based authorization, and zero-trust security architecture. The ideal candidate has hands-on experience with cloud security, identity engineering, ABAC design, and enterprise-grade access control systems. What project we have for you Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. What you will do Design and implement authorization policies using Cedar and AWS AgentCore Policy. Develop and maintain policy-as-code frameworks for cloud-native and AI-agent platforms. Build and govern Attribute-Based Access Control (ABAC) models following least-privilege and default-deny principles. Integrate authorization systems with OAuth 2.0, JWT, and Microsoft Entra ID. Define and maintain principals, resources, actions, and conditional access policies. Design token validation, claims mapping, and authorization decision workflows. Implement audit logging and traceability for policy evaluation and access decisions. Partner with security, architecture, and platform teams to support enterprise security reviews and governance processes. Contribute to zero-trust security architecture and authorization strategy across distributed systems. Evaluate and adopt emerging AWS authorization technologies, including Cedar and AWS Verified Permissions. What you need for this • AWS AgentCore Policy (Cedar) • Cedar policy language (principals, actions, resources, conditions) • OAuth 2.0 / JWT / MS Entra integration • Policy-as-code patterns • Default-deny authorization models • Audit logging for policy decisions Experience: • 5+ years cloud security or identity engineering • Attribute-based access control (ABAC) design • OAuth 2.0 / JWT token inspection and claims mapping • Enterprise security review (InfoSec, ARB processes) Will be a plus: • AWS Cedar (open source) prior exposure • AWS Verified Permissions or AgentCore Policy early experience • Zero-trust architecture design What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Remote - USA Workplace: Remote Growth GTM Engineering sits at the intersection of marketing strategy, revenue generation, data, and automation, turning market intelligence and buyer insight into repeatable growth opportunities for Chainalysis. Chainalysis is seeking a Growth GTM Engineer to build and scale the workflows, systems, and outbound strategies that help our Sales teams engage the right customers at the right time. This is not a traditional demand generation or marketing operations role. Growth GTM Engineers are hands on builders who own the full lifecycle of a growth play, from identifying an opportunity and developing a hypothesis through workflow creation, experimentation, and measurable commercial impact. The role combines growth marketing, account based strategy, data enrichment, AI, and sales enablement. You will work directly with Sales to identify promising markets, uncover buying signals, map buying committees, and turn these insights into targeted outbound plays. Using Clay, AI, and connected data workflows, you will give sellers the context and tools they need to engage prospects more effectively. Success requires strong marketing judgement, technical curiosity, hands on workflow building experience, and the ability to connect automation to real commercial outcomes. In this role, you’ll: • Identify promising market segments, buying situations, and account level triggers in partnership with Sales. • Develop targeted outbound plays, defining the audience, buyer problem, messaging, offer, seller action, and success criteria. • Build, own, and optimise Clay tables and research workflows, connecting enrichment, signal detection, account research, and contact discovery. • Use AI to interpret market signals, classify accounts, and generate relevant research and messaging inputs. • Map key accounts and buying committees, providing sellers with clear, evidence based insights and recommended actions. • Work directly with Sales teams to test outbound plays, gather feedback, measure performance, and determine what to scale or refine. • Establish quality controls and source references to ensure research and AI generated outputs are accurate and trustworthy. • Turn successful experiments into reusable workflows, signals, audience logic, and play templates. • Connect outbound strategies with ABM, paid media, and lifecycle marketing initiatives. • Partner with RevOps on CRM integrations, sales tooling, tracking, and workflow governance. We’re looking for candidates who have: • Experience building B2B outbound, growth marketing, demand generation, or account based marketing programmes. • Strong marketing judgement across segmentation, buyer problems, positioning, and messaging. • Hands on experience with Clay or similar data enrichment and workflow automation platforms. • Practical experience using AI for research, classification, personalisation, and decision support. • A track record of working directly with Sales teams to turn growth ideas into executed outbound plays. • Experience identifying buying signals, researching accounts, and mapping buying committees. • The ability to distinguish verified evidence from assumptions and evaluate results critically. • A commercially minded approach, connecting growth activity to meetings, opportunities, and pipeline. Required Skills: Growth Marketing and GTM Strategy • Understanding of B2B go to market strategies, outbound motions, demand generation, and ABM. • Ability to identify high value segments and translate buyer insight into targeted growth plays. • Experience developing messaging and value propositions for specific audiences. Technical and Automation Skills • Hands on experience with Clay or comparable enrichment and automation platforms. • Experience connecting data sources, research workflows, and automation tools. • Practical use of AI for research, personalisation, and interpreting information. • Ability to structure data, troubleshoot workflows, and maintain data quality. Sales Partnership and Execution • Proven ability to work closely with Sales teams to develop and execute outbound strategies. • Ability to translate account insights into clear seller context and actionable recommendations. • Experience gathering feedback, improving adoption, and measuring commercial impact. Day to Day Activities • Identify growth opportunities through market research, buyer signals, and Sales feedback. • Build and maintain Clay tables for account enrichment, contact discovery, research, and prioritisation. • Develop AI powered workflows that generate accurate account insights and seller context. • Create and launch targeted outbound plays with Sales teams. • Analyse performance across engagement, meetings, opportunities, and pipeline. • Refine, scale, or retire workflows based on results and seller feedback. • Develop reusable research components, signals, and play templates. • Work with RevOps on Salesforce integrations, tracking, and governance. • Document workflows and best practices to support adoption across teams and markets. Personal Attributes • Builder mentality, enjoys getting hands on with tools, data, workflows, and automation. • Commercially minded, focused on generating meaningful sales conversations, opportunities, and pipeline. • Naturally curious about buyer behaviour, market dynamics, and emerging technologies. • Analytical and evidence driven, with strong attention to research quality and accuracy. • Experimentation focused, comfortable testing ideas and learning from results. • Collaborative and confident working directly with Sales and cross functional teams. • Self starter who takes ownership and thrives in a fast paced environment. • Excited by the potential of AI, automation, and connected data to transform go to market strategies. Nice to have experience: • Experience with Salesforce, Marketo, Demandbase, Goldcast, or Qualified. • Familiarity with sales engagement platforms and outbound sequencing tools. • Experience with APIs, webhooks, SQL, or data integrations. • Experience connecting outbound, ABM, paid media, and lifecycle marketing programmes. • Familiarity with data governance and research quality controls. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Dublin, Ireland 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. ABOUT THE ROLE Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact. You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role. WHAT YOU'LL ACHIEVE: - Drive workflow adoption and value realization for a book of named accounts ensuring your customers know how to deliver outcomes with Notion - Contribute directly to NRR with predictable renewal and expansion pipeline and proactive product adoption for your book of business - Partner closely with Solutions Consultants on strategy for expansion and renewal for shared accounts, including owning the commercial opportunity for flat and at-risk renewals - Define and maintain mutual success plans that proactively guide customers through their AI Transformation and demonstrate ROI to executive-level stakeholders with periodic business reviews - Facilitate use-case consultations that guide customers through their continuous Solutions Design and identify new workflow opportunities that drive outcomes and increase value with Notion - Identify opportunities to engage Services for customers with complex or technical implementation needs and partner closely with the Services team throughout delivery to ensure successful outcomes and value delivered - Learn Notion’s product and the broader AI ecosystem inside and out so you can be best suited help customers navigate new ways of working and build durable systems in Notion as the underlying system - Help build and deliver OA programs that generate customer and business outcomes across Notion’s install base. - Set the bar for product and AI fluency across the team and ensure your team masters Notion’s product and maintains an expert-level knowledge of the AI ecosystem. SKILLS YOU'LL NEED TO BRING: - Experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment - Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans - Technical fluency and presence as a trusted advisor—while you won't be building for your customers, you should be capable of co-design, configuring, and troubleshooting Notion workspaces and workflows - Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy - Ability to design and help customers build workflows that drive usage based consumption, connecting adoption patterns to measurable commercial outcomes - Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts - You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems - You’re obsessed with AI, constantly building with the newest tools and learning new ways of working NICE TO HAVES: - Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software - Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path - Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams - Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale 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 range for total on target earnings (including base salary and on target incentive pay) for this role is €115,000-€128,000 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: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner , working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

We are seeking an experienced Recruiter to join our People Solutions Team and support our Life Sciences hiring in the Asia Pacific region. In this role, you will focus on sourcing, attracting, and hiring top talent for engineering roles within the life sciences and biotechnology spaces.

Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey Workplace: remote Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises across Financial Services and Life Sciences design, build, and operate production AI systems. Our Forward Deployed Engineering model lets us embed with clients and deliver AI outcomes, not just advice. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. We are looking for an Alliances Team Lead to own and grow Provectus's most strategic partnerships: Anthropic and AWS. This is a build-and-lead role — you will create the programs for our alliances function from the ground up. On the Anthropic side, you will run partner activation programs end to end: identify target accounts, align scope with Anthropic partner teams, coordinate delivery, and ensure funding milestones and closeout requirements are met. You will grow our standing in the Claude Partner Network and be the person inside Anthropic who advocates for Provectus. On the AWS side, you will manage the alliance, maintaining AI and generative AI competency requirements, keeping Premier Tier standing current, and building the co-sell motion with AWS field teams. There is also an opportunity to develop early-stage partnerships with GCP and others as the ecosystem evolves. You will lead a team and work directly with Provectus engineering, SO, and marketing leadership to turn partner programs into measurable pipeline. Responsibilities: Anthropic partnership Own the Anthropic partnership end-to-end — build and scale partner activation programs, manage funded enablement engagements from scoping through completion and reimbursement. Create repeatable playbooks for partner-funded customer activations: identify target accounts, align scope with Anthropic partner teams, coordinate delivery, and ensure funding milestones are met. Grow Provectus's standing in the Claude Partner Network; track program changes, tier requirements, and new co-marketing opportunities. Develop named executive relationships at Anthropic — field leadership, partner success, and product teams — who actively advocate for Provectus in joint accounts. AWS alliance Manage the AWS alliance day-to-day — keep Provectus current on Generative AI competency requirements, renewals, and program changes; maintain Premier Tier standing. Build and expand co-sell motion with AWS field teams — drive opportunity registration, joint account planning, and pipeline reviews with AWS partner sellers. Manage AWS funding programs; ensure Provectus maximises available program benefits. Team and cross-functional leadership Lead and develop a team of partner managers; set priorities, coach on partner engagement, and build the operating cadence for the alliances function. Work with sales, marketing, and delivery to turn partner programs into pipeline — co-marketing campaigns, joint solution offerings, and partner-sourced revenue. Represent Provectus at executive briefings and ecosystem events; bring relevant partner intelligence back to leadership. Ecosystem expansion Identify and develop early-stage partnerships with GCP and other emerging AI ecosystem players as the market evolves. Track the competitive alliance landscape — which SI competitors hold which partner tiers, where there are white spaces Provectus can occupy. What You Need to Succeed: 5–8+ years in technology alliances, partnerships, or channel roles, with meaningful time spent managing a hyperscaler relationship (Anthropic, AWS strongly preferred). Direct experience with partner programs: competencies, funding programs (MDF, MAP, or similar), co-sell mechanisms, and partner portals — hands-on, not just supervisory. Track record of building alliance programs from scratch — not just inheriting and running an existing book. Experience leading and developing a team; comfortable setting direction and coaching without a large management structure behind you. Comfortable operating at executive level with partners and customers, and hands-on enough to manage program mechanics personally when needed. Strong written and verbal communication — able to translate partner programs into clear internal playbooks and joint value propositions. Familiarity with the AI/ML ecosystem — enough to have credible conversations about implementation approaches and enterprise AI adoption challenges. Vertical depth in Financial Services or Life Sciences — Anthropic's and Provectus's primary enterprise target markets. Experience managing GCP, OpenAI, or other emerging AI ecosystem partnerships is preferred. Willingness to travel (up to 40%) for customer meetings, executive briefings, onsite workshops, conferences, and other business development activities. What success looks like: Anthropic activation programs running as a repeatable, funded motion with a growing pipeline of customer engagements quarter over quarter. AWS AI competency requirements current, with Premier Tier standing maintained and co-sell pipeline growing quarter over quarter. Named executive relationships at both partners who actively advocate for Provectus in joint accounts. An alliances team with clear ownership, operating cadence, and measurable partner-sourced revenue contribution. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: Genuine autonomy and the trust to operate in your lane without micromanagement. World-class AI/ML delivery capability behind you — a team that can actually execute on what you sell or source. You will shape how a fast-growing AI consultancy goes to market at a defining moment for enterprise AI adoption. High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. OTE range $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan.