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Location: Remote - US About the Job: LaunchDarkly is the runtime control plane for the AI software development lifecycle (AI-SDLC). Thousands of engineering organizations, including more than a quarter of the Fortune 500, use LaunchDarkly to ship, measure, and control every change that reaches production, whether it is written by people or by AI. Feature management built the company. The next chapter is bigger: as the cost of writing code falls and the volume of change outpaces human review, the constraint is moving from writing software to controlling it. LaunchDarkly is building the critical infrastructure for the AI-SDLC. Customers build their own software factories. We build the rails they run on. We are hiring the leader of Product Management for LaunchDarkly. Reporting to the Chief Product Officer, you will own the product management organization end to end: the people, operating system, roadmap commitments, and commercial outcomes across every product pillar. You will sit at the technology leadership table as the Product Management peer to the heads of Engineering and Product Design. The CPO sets the company’s product vision and strategic direction. You will build and run the product organization that turns that direction into a coherent portfolio, shipped outcomes, customer adoption, and revenue growth. This is a hands-on operating role for a product leader who knows how to build the machine, make the tradeoffs, and finish the work. Responsibilities: Lead cross-functional product leadership. Serve as the product counterpart to Engineering, Product Design, Marketing, Sales, Customer Success, and Finance. Resolve cross-functional tradeoffs, establish shared commitments, and ensure LaunchDarkly presents one coherent product strategy to customers and the market. Build and lead the product management organization. Design the organization intentionally, allocate resources effectively, maintain a high talent bar, build succession plans, and establish clear ownership for every product surface a customer or sales representative may ask about. Own the product operating system. Establish the cadence that turns strategy into shipped software and met goals, including quarterly commitments, leadership reviews, squad-level inspection, launch briefs, new product introduction (NPI), and the product-to-field handoff. Make execution predictable enough that the executive team does not have to ask whether something shipped. Drive roadmap delivery across every product pillar. Lead execution across Enterprise, Foundation, Observability, Experimentation, Agent Control, Automation, and the platform beneath them. Build a culture of doing what we say we are going to do. Create portfolio discipline without slowing the company down. Ensure new bets enter the portfolio through explicit decisions rather than hallway conversations, while preserving the flexibility to respond to market changes. Marketing dates should be commitments the product organization can confidently support. Drive finishing. A product is not done when version one ships; it is done when the team has iterated based on learning. A launch is not done when it ships; it is done when the field is amplifying it. A process is not done when it is written; it is done when it creates leverage for the team. Own packaging execution and commercial outcomes. Lead how pricing and packaging land in the product and in the field so every representative can sell the full platform and every pillar contributes to its commercial goals. Stay close to customers and the field. Spend time with the largest customers and most demanding evaluators, translate what you learn into product decisions, and build a process that brings customer and field insight into the roadmap at scale. Use AI to increase product and engineering leverage. Help the organization adopt AI-assisted development and product practices in ways that increase delivery speed while maintaining quality and judgment. What Success Looks Like in Your First Year: The organization is complete. The leadership model is in place, product lines have the right pillar leadership, spans and layers are intentional, decision rights are clear, succession risks are understood, and the organization can continue to scale. Delivery increases every quarter. Shipped output per team rises quarter over quarter as AI-assisted development compounds, with quality holding. The operating system runs without the CPO driving it. Reviews, check-ins, launch briefs, and NPI happen on cadence and at a consistent bar. The portfolio is staffed. Every initiative in flight has an explicit staffing decision and plan behind it. The numbers move. Activation, attach, activity, and expansion targets for each pillar respond to the organization’s inputs. The team is stronger than you found it. Product managers have more leverage, complementary strengths are valued over a uniform mold, and every hire raises the bar. About You: You are direct, decisive, and high-agency. You identify a problem, propose a fix, and act unless someone tells you not to. You are a relentless simplifier, not a caretaker. When you find friction, your instinct is to remove process rather than add it. You know how to run a company of this size like a small company that ships. You are a builder of people and move quickly on people problems. Product leaders who have worked for you say you made them better and would work for you again. You raise the bar clearly, promote based on evidence, and do not allow known performance problems to persist. You are comfortable challenging a strategy and turning it into a sequenced portfolio. You can tell the story of an idea you pushed back on, how you used evidence to make the call, and how you maintained the relationship. You write clearly and make decisions. You use written argument to create alignment, expect strong writing from your team, and end meetings with a decision. You are customer-oriented and commercially grounded. You can move from a conversation with a developer or data scientist to a discussion with an executive buyer or sales leader without losing the thread. Qualifications: Minimum of  15+ years of experience in Product Management, including 7+ years leading Product Managers and product leaders across a multi-product B2B platform . Experience leading Product Management at the VP, SVP, or equivalent level across a multi-product B2B platform. Experience leading a product management organization of 20 or more product managers at a company with approximately $100M to $500M in revenue. A track record of building and developing a product organization, rather than simply inheriting one. Demonstrated ability to turn company strategy into a reliable operating system that delivers roadmap commitments and measurable business outcomes. Experience working with a founder or visionary executive and converting a high volume of ideas into a sequenced, resourced portfolio. Experience building products for engineering organizations and selling to CTOs, platform leaders, and data science teams. Strong commercial fluency, including experience owning or materially influencing pricing, packaging, attach, expansion, and go-to-market execution. Experience balancing enterprise and self-serve motions, including an understanding of what drives a large enterprise expansion and what creates value for a developer on a free plan. Practical experience using AI agents in your own work and applying AI-native approaches to product management or software development. You should have clear opinions about how AI changes product management, supported by things you have shipped. Demonstrated ability to lead through ambiguity, make decisions with incomplete information, and improve delivery speed without compromising product quality. Pay: Target pay ranges based on Geographic Zones* for Level E1: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $424,000 - $583,000 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $381,600 - $524,700 * Zone 3: All other US locations - $360,400 - $495,550 * All Zones Inclusive of 25% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: San Francisco, California; New York, New York Workplace: Hybrid 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’s Integrated Marketing team connects our brand story to the world—ensuring that every campaign, launch, and experience builds on global awareness of Notion as the intelligent, AI-connected workspace for modern work. We're looking for an experienced, creative, and rigorous brand campaign expert who excels at conceptualizing innovative campaign strategies and bringing clarity to complex challenges.   This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: The Campaign Manager, Brand brings Notion’s mission, product capabilities, and customer stories to life through targeted, insight-driven brand campaigns. This role is responsible for conceptualizing, developing, and executing integrated marketing programs that connect Notion’s core value props to the needs and aspirations of our customers—from individuals to global enterprises. Reporting to the Campaign Lead, you’ll drive seasonal campaigns, brand activations, and special projects that aim to build excitement among both current customers and prospects. You’ll work closely with Product Marketing, Growth Marketing, and Creative to transform feature launches, product education, and customer insights into powerful, scalable brand moments that build understanding, drive conversion, and reinforce Notion’s position as the AI workspace for teams. Responsibilities include: - Lead cross-functional campaign execution, from concept to delivery, for both special brand projects and feature-led programs - Partner with Creative to generate out-of-the-box brand marketing concepts, breaking from the industry mold and encouraging blue sky thinking - Partner with Product Marketing to develop strategies that translate product value into meaningful narratives for the target audience of each activation or campaign - Partner with Growth Marketing to define the right mix of content, media, and channels to reach each segment effectively - Manage campaign briefs, creative deliverables, and timelines—ensuring clarity, accountability, and alignment across stakeholders - Integrate brand and performance media buying from planning through delivery and reporting - Define and track KPIs for each campaign, analyzing and sharing results and applying insights to optimize future programs - Ensure all campaigns maintain a cohesive Notion voice and brand expression, while adapting to audience needs and regional contexts SKILLS YOU'LL NEED TO BRING: - 8+ years of experience in integrated or brand marketing, preferably in AI or tech, with proven success leading complex projects to fruition - Idea catalyst: You bring a concept-led approach and an opinionated point of view, sparking, shaping, and shepherding breakthrough concepts until they're undeniable - AI fluency: You have deep, first-hand experience experimenting with new AI tools, and are passionate about staying on top of fast-moving industry trends - Speed: You bias towards action and operate with ambition, creating processes that help cross-functional teams do the same - GTM expert: You have strong understanding of and passion for go-to-market planning, messaging, and storytelling for brand-driven campaigns - Collaborative: People on the projects you lead become the best versions of themselves by working with you, across product, creative, and data teams - Order agent: You possess strong organizational and analytical skills, with the ability to balance multiple work streams and deadlines at once while iterating for improvement NICE TO HAVES: - Familiarity with hybrid audience targeting - Experience supporting global and/or regionalized campaigns - Experience using Notion—both personally and professionally 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. For roles based in San Francisco or New York City, the estimated base salary range for this role is $174,000 – $195,000 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?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #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, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. JOB PURPOSE: The Technical Program Governance team enables complex technical initiatives across PlayStation engineering organizations by creating clarity, alignment, and disciplined execution across organizational boundaries. As a Staff Technical Change Manager, you will lead the people, adoption, and organizational dimensions of complex technical change across engineering and technology organizations. You will work alongside technical leaders, architects, program managers, and delivery teams to understand what is changing, who is affected, what will be required of them, and how to move from awareness to sustained adoption. This is a technical change role. Success requires more than familiarity with software-development terminology or experience working near engineering teams. You must be able to understand systems, platforms, architecture, integrations, engineering delivery models, and technical dependencies well enough to identify meaningful change impacts, ask informed questions, and translate technical decisions into practical organizational action. This role offers the opportunity to build and shape change capability from the ground up. You’ll help define how change is led, scaled, and embedded across a growing technical organization, creating practical approaches that can evolve with the business rather than inheriting a fixed playbook. EXPERIENCE & QUALIFICATIONS: Essential Demonstrated experience leading complex, cross-functional organizational change within technology, engineering, digital, or technical environments. Strong technical fluency across modern software and technology environments. Able to understand systems, platforms, architecture, integrations, engineering workflows, and technical dependencies well enough to assess organizational impact and engage credibly with technical leaders.\ Proven ability to translate complex technical concepts and decisions into clear stakeholder impacts, adoption needs, communications, enablement plans, and practical actions. Deep practical knowledge of organizational change methods and tools, combined with the judgment to adapt, combine, simplify, or move beyond a methodology when the situation requires it. Experience developing end-to-end change strategies, including stakeholder analysis, impact assessment, readiness, communications, engagement, learning or enablement, adoption measurement, and reinforcement. Strong independent judgment and problem-solving skills, with a record of operating effectively in ambiguous environments where the change strategy, operating model, or path forward is still being created. Ability to influence senior technical and business leaders, facilitate difficult conversations, build alignment across competing priorities, and move decisions forward without direct authority. Experience using qualitative and quantitative signals to assess adoption, identify resistance or friction, test assumptions, and adjust strategy based on evidence rather than process compliance. Demonstrated ability to create reusable frameworks, playbooks, tools, and guidance and to coach others so change capability scales beyond the individual. Excellent written and verbal communication skills, including the ability to produce concise executive narratives while retaining enough technical substance for engineering audiences. Desirable Consulting or transformation advisory experience, particularly in environments requiring rapid context building, executive influence, and practical recommendations across multiple clients, organizations, or business units. Experience building or materially evolving a change capability in an organization where practices, roles, standards, and expectations were not already mature or consistently established.\ Experience supporting platform, infrastructure, cloud, architecture, developer tooling, enterprise systems, or other technically complex transformation work. Experience working directly with engineers, architects, technical program managers, product leaders, and senior technology executives. Background in the games, interactive entertainment, or large-scale technology industry. Formal change-management certification. KEY RESPONSIBILITIES & SCOPE FOR DECISION MAKING: Technical Change Strategy and Delivery Lead change strategy and execution for complex technical initiatives spanning multiple teams, organizations, technologies, or geographies. Build a clear understanding of the technical change itself, including affected systems, dependencies, operating models, workflows, roles, and decision points, before determining the appropriate change approach. Translate technical implementation plans into stakeholder impacts, readiness needs, adoption risks, engagement strategies, and measurable change outcomes. Embed organizational readiness into the design and delivery of major initiatives, helping ensure change is considered from the beginning and translated into sustained adoption, stronger execution, and measurable business impact. Identify adoption barriers early, frame the underlying problem, and drive practical interventions that address behavior, capability, process, structure, or incentives as appropriate. Define meaningful measures of readiness, adoption, and sustained use, and adjust strategy when evidence shows the current approach is not working. Technical Partnership and Organizational Judgment Partner closely with engineers, architects, technical program managers, product leaders, and subject-matter experts to understand technical decisions and their organizational consequences. Ask informed technical questions, challenge assumptions constructively, and surface dependencies or downstream impacts that may otherwise be missed in change planning. Operate as a trusted advisor to senior leaders, bringing clear recommendations, rationale, risks, tradeoffs, and expected outcomes rather than relying on escalation or waiting for direction. Demonstrate strong judgment about where and how change leadership can add value. Read the room, adapt to the audience and organizational context, and apply the right level of structure to accelerate outcomes without introducing unnecessary process. Use organizational context, stakeholder insight, and data to determine where leadership attention is required and where teams can move independently. Connect technical transformation to business and organizational outcomes so leaders understand not only what is changing, but why it matters and what successful adoption looks like. Capability Building and Scale Help build a practical, scalable technical change-management capability, including reusable frameworks, playbooks, templates, decision guides, and operating practices. Create lightweight approaches that can be used by program and technical leaders directly, reserving specialist change support for the work where it creates the most value. Coach leaders, TPMs, and cross-functional partners on stakeholder engagement, readiness, adoption planning, resistance, and reinforcement so change knowledge spreads through the organization. Use strong facilitation and organizational judgment to bring the right people together, navigate competing perspectives, and turn complex conversations into clear decisions, alignment, and action. Capture lessons learned and patterns across initiatives and use them to improve future change strategies, tools, and organizational practices. Leave teams more capable than you found them by building knowledge, confidence, and repeatable practices that continue beyond an individual initiative. KEY PERFORMANCE INDICATORS ·       Sustained adoption and organizational readiness for complex technical changes, demonstrated through measurable use, behavior change, or operating outcomes. ·       Quality and timeliness of change-impact identification, stakeholder strategy, risk management, and interventions across multiple initiatives. ·       Demonstrated technical credibility and effectiveness partnering with engineering, architecture, program, and senior leadership audiences. ·       Evidence that change approaches are adapted based on context, feedback, and data rather than applied mechanically. ·       Measurable growth in organizational change capability through reusable tools, coaching, knowledge sharing, and increased self-sufficiency of partner teams. ·       Senior stakeholder confidence in the clarity, practicality, and strategic value of change recommendations and execution. The individual will be measured on: Successful adoption and sustained impact of complex technical and organizational changes, with clear evidence that intended outcomes are understood, adopted, and embedded. Ability to identify where change leadership will have the greatest impact, applying sound judgment and the appropriate level of structure based on the audience, environment, risk, and desired outcome. Quality of strategic partnership with technical and business leaders, including the ability to build trust, navigate organizational dynamics, challenge constructively, and influence decisions. Effectiveness in translating complex technical change into meaningful organizational action, connecting technical direction with what teams need to understand, do differently, and sustain. Measurable improvements in organizational readiness and adoption, using meaningful indicators and feedback to identify barriers, adjust strategy, and improve outcomes. Growth of scalable change capability across the organization, including practices, approaches, and knowledge that enable leaders and teams to manage change more effectively without continued direct support. Ability to strengthen and evolve the organization’s approach to change, identifying opportunities to improve how change is led and building practical capabilities that can scale as the organization matures. Effectiveness operating independently in complex and ambiguous environments, bringing recommendations, exercising strong judgment, and driving work forward without requiring a predefined playbook. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $173,000 — $259,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Communications Manager at Anthropic, you will bring The Anthropic Institute's research to the world. The Institute works to advance the public conversation around AI, publishing findings so that policymakers, researchers, journalists, and the public can reckon with what's here and prepare for what's ahead. You will provide dedicated communications coverage for the Institute's two largest and fastest growing research engines: 1) Economic Research, which tracks AI's effect on jobs, wages, and the broader economy through the Anthropic Economic Index and labor market analysis, and 2) Societal Impacts, which studies how Claude is actually used, from workplace impacts and personal guidance to Claude's values and frontier agent use. You’ll also support TAI’s other teams, including Special Projects and the Frontier Red Team. In this role, you'll drive research tracking, publication strategy, and reactive press across both portfolios, including launches like quarterly Economic Index releases and the rollout of the new Economic Research Fund. You'll partner closely with the Economic Research and Societal Impacts research teams day to day, work alongside the Deputy Communications Lead, and coordinate with Anthropic's broader communications, policy, and editorial teams to keep messaging aligned while maintaining the Institute's distinct voice. Responsibilities Drive day-to-day communications for the Economic Research and Societal Impacts teams, including research tracking, publication planning, and reactive press Lead communications planning and launch execution for the Anthropic Economic Index, recurring labor market analyses, and new research initiatives like the Economic Research Fund Develop narratives that translate technical and quantitative research for audiences well beyond specialist communities Build and maintain relationships with reporters across economics, labor, technology, research, and general interest outlets, along with academic economists and think tank researchers Draft communications plans, briefing documents, talking points, press materials, and social content Manage reactive press on sensitive findings in partnership with the Communications Lead, Deputy Communications Lead, and policy team Partner with policy and editorial teams on publishing strategy, ensuring research reaches the largest appropriate audience through the Anthropic blog, the Institute's site, microsites, interactive experiences, video, and audio Present researchers for media interviews, podcast appearances, and speaking engagements, and prepare them to succeed in those moments Partner with Institute communications leadership on major announcements and milestone engagements Build repeatable rollout playbooks and processes that allow a lean team to cover a growing research portfolio Track both teams' research agendas to shape findings early and plan publications months in advance You may be a good fit if you Have deep communications experience, with significant depth in research, science, economics, or policy communications Have a track record of translating complex, technical, or academic research into public narratives that reach audiences well beyond specialist communities Are comfortable reading and interrogating quantitative research, and can engage substantively and credibly with the researchers who produce it Have strong, active media relationships Can move between long-lead strategic messaging and fast-turnaround tactical execution without losing quality, from planning a launch months out to handling an inbound press inquiry the same day Have led multi-channel rollouts spanning strategy, digital, press, and cross-functional approvals Are intellectually curious about AI's impact on the economy, society, and the future of work, and can embrace the unexpected in a field where the unusual is the norm Thrive in fast-moving environments where priorities shift and ambiguity is common Are excited about Anthropic's mission to develop AI that is safe and beneficial Strong candidates may also have Experience at a research institution, think tank, economics publication, or policy organization communicating quantitative findings Familiarity with the AI policy landscape and the debates around AI's labor market and societal impacts Experience standing up communications processes or playbooks on a small, growing team A background working directly with economists, social scientists, or academic researchers on publication strategy Experience managing sensitive or high-scrutiny press moments, including deciding what to say, when, and how Enthusiasm for using AI tools in your own workflows to multiply what a small team can do The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Workplace: Remote WHO WE ARE Help Scout started in 2011 with a simple premise: support software should treat customers like people, not tickets. 3+ billion conversations later, more than 10,000 companies use Help Scout to grow relationships with customers of all types, from clients to patients and beyond. Now we’re in a new chapter: not only building AI that gives teams more space to focus on the customer experience, but also reimagining how we operate in an AI-native world. That means shipping and learning faster, without compromising on craft. Great work here carries a strong opinion and sweats the details, regardless of the tools we use to drive it. We’ve been a fully remote team https://articles.helpscout.com/blog/remote-culture/ since day one, with 120+ teammates now all over the world. It’s a culture where you’ll be trusted to take ownership, stay curious, and raise the quality of work around you. It comes with clear expectations and a team that will push you to do some of the best work of your career. If that kind of challenge gives you energy, we’d love to meet you. THE OPPORTUNITY Help Scout is building a sales-led outbound motion to win more mid-market customers. Most of our pipeline comes from inbound today & we are changing that mix. This role is the engine for it. We're hiring our first Business Development Representative to join our sales team. In this role, you’ll open conversations with the companies that fit us best and drive pipeline for our Account Executives. You'll also help shape the outbound playbook: which accounts, which messages, and which channels work. As our first BDR, we’re not looking for someone to run an established playbook… we're looking for someone who is eager to help shape one. Does that sound like you? If so, here’s more about the role: WHAT YOU’LL DO - Research and personalize. Use an AI tech stack to find the right prospects, from Support/Success leaders to Operations management and company executives. You'll maximize engagement by tailoring outreach using our messaging frameworks and templates, and will check AI-generated drafts before sending. - Work defined target account lists. Prospect into a defined list of ideal-fit mid-market companies based on our ICP criteria & strategic campaigns, and flag accounts that are not the right fit. - Execute multi-channel outreach. Manage outreach across several channels, including email, phone, LinkedIn, and video. - Test and iterate. Run messaging, personas, and channels tests, track what converts at the highest rates, and recommend changes to drive continuous improvement. - Report on results. Maintain updated reports and dashboards that illustrate your success rates across campaigns and performance towards your targets. Regularly review results and thoughtful recommendations for improvement with your manager. - Hand off cleanly. Partner closely with Account Executives to brief them on sourced meetings with well documented details about the contacts, accounts and messaging that led to the booking. Use AE feedback to regularly improve your hand-offs. ABOUT YOU - You have 1 to 2+ years as an outbound BDR or SDR at a B2B SaaS company, with a track record of meeting pipeline or opportunity targets. - You've prospected into companies with 250+ employees and know how to tailor messaging based on industry, job title and additional criteria. - You’re a great communicator, both with prospects and internal colleagues. - You actively use AI tools in your workflow for research, list building, or writing, and can recommend what works (experience with HubSpot & GTM platforms like Apollo, ZoomInfo, Sales Navigator or similar solutions a plus). - You can thrive in a fast-paced, dynamic environment. - You're coachable and want to grow into a closing role. COMPENSATION AND BENEFITS We use a competency-based approach to pay, and pay is the same no matter where in the U.S. you live. Base salary: $71,000 - $77,000 On-target earnings (OTE): $102,000 - $111,000 COMPANY VALUES HAPPY TO HELP Help is in our first name! We show up for each other — not out of obligation, but because we’re invested in the team’s collective success. We share knowledge freely, lead with generosity, and practice empathy with our teammates, customers, and community. CRAFT OVER CONVENTION Our success relies on the quality and craft https://paulstamatiou.com/craft of the work we put into the world. The status quo simply won’t work. So we insist on narrow focus, sweating every detail, and relentless pursuit of customer delight. PROGRESS NOT PERFECTION Achieving our true potential — collectively and individually — requires constant progress and forward momentum. By creating a culture of curiosity and openness, we aim to create a safe space for mistakes, the ability to identify them quickly, and use them to get better. OWN THE OUTCOME Own the outcome means taking full responsibility for the results of your work, decisions, and contributions. It reflects a mindset of accountability, proactiveness, and follow-through. If you “own the outcome,” you don’t just complete tasks, you ensure your work leads to meaningful results, and take initiative to solve problems rather than passing them along. Read more about how we define, share, and live these values here https://articles.helpscout.com/blog/aligning-culture-with-values/. BENEFITS AND PERKS - Competitive salary and an internal, transparent salary formula based on market data - Flexible time off – you choose the holidays and vacations that make sense for you - 12 weeks of fully paid parental leave for all new parents, including adoption and foster care - A home office stipend to help you get set up and productive - A co-working stipend up to $300 a month if you choose to work out of your house - A yearly professional development stipend of $1,800 to help you grow in your craft - If you’re in the U.S. or Canada, we offer top tier health insurance for you and your dependents. HIRING GUIDELINES: All roles at Help Scout are fully remote. Some positions have specific location requirements. For roles outside the U.S. and Canada, we work with teammates as independent contractors under country-specific agreements. We do not sponsor visas. Teammates must already be authorized to work from their home country. We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion https://www.helpscout.com/dei/. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do. To provide you with the best experience, we can support you with accommodations or adjustments at any stage of the recruitment process. Simply inform our recruitment team during your conversation with them. A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team. On our end, we utilize a platform called Brighthire as a notetaker and review tool to ensure a fair and transparent hiring process. Beware of scammers! All legitimate communication from Help Scout regarding your application will come directly from an @helpscout.com http://helpscout.com email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a SLED Solutions Architect, you'll be a trusted technical advisor to State, Local, and Education customers in every state east of the Mississippi River: state agencies, counties, cities, special districts, community colleges, and public, private, and research universities. These organizations deliver services residents and students rely on every day, often with lean IT teams, aging systems, fixed fiscal-year budgets, and growing cybersecurity threats. You'll show them how GitLab's DevSecOps platform and AI capabilities, including the GitLab Duo Agent Platform, help them modernize legacy applications, protect sensitive resident and student data, meet state and sector compliance requirements, and do more with the staff they have. You'll own the technical evaluation and validation stages of the sales cycle, guide customers through proofs of concept and value, and translate platform capabilities into outcomes that agency leaders, CIOs, CISOs, and procurement officers can defend in a budget request or an RFP evaluation. You'll partner closely with SLED account executives, channel partners, and systems integrators, provide technical guidance from first conversation through successful deployment, and bring the voice of the SLED customer back into Product, Sales, and Marketing. Location and travel: The territory covers all states east of the Mississippi River. The candidate must reside in the Northeast part of the United States. This role requires up to 50% travel. What you'll do Engage SLED customers onsite and remotely, from state capitals to university campuses, with tailored demos, technical presentations, and hands-on workshops that tie GitLab to their mission. Partner with SLED account executives to shape account strategies that align with each customer's fiscal year budget cycle, legislative appropriations, IT modernization plans, and grant or federal pass through funding. Own the technical evaluation process, including proof of concept (POC) and proof of value (POV) design and delivery, and provide technical responses for RFIs, RFPs, RFQs, and security questionnaires. Support purchases made through cooperative purchasing agreements and statewide contract vehicles by working with channel and reseller partners. Guide customers through state and sector security requirements, such as GovRAMP and NIST frameworks, and show how GitLab's built in security, auditability, and deployment options reduce compliance burden. Help agencies and institutions modernize legacy and mainframe applications, such as unemployment insurance, tax, DMV, benefits, and student information systems, using GitLab and AI-assisted development to lower risk and offset shrinking pools of legacy skilled staff. Advise customers on adopting AI responsibly, including the GitLab Duo Agent Platform, in line with state AI policies, governance boards, and data privacy requirements. Lead the creation of Customer Success Plans that capture technical success criteria and handoff details, ensuring a smooth path to deployment and adoption, often for IT teams with limited capacity. Work alongside Account Executives to build data driven business cases that quantify delivery bottlenecks, giving customers a defensible basis for budget requests and clear evidence of return on taxpayer investment. Build relationships with CIOs, CISOs, agency directors, enterprise architects, faculty, research computing leaders, and procurement officers so they become advocates for GitLab, including across agencies and campuses that share services. Collaborate with systems integrators and state IT shared-services organizations to scale GitLab adoption across multiple agencies, local governments, or campuses. Serve as the SLED customer advocate internally, channeling feedback on procurement, compliance, and deployment needs to Product, Sales, and Marketing. Stay current on GitLab and related technologies, and create reusable SLED demos, reference architectures, and assets for customers and partners. What you'll bring Background in technical pre-sales, consulting, or IT roles serving state agencies, local governments, or public, private, and research universities, where you guided customers through evaluations and solution design. Working knowledge of how SLED organizations buy technology: RFP and RFI cycles, cooperative purchasing agreements, statewide contracts, fiscal-year budgeting, and the role of resellers and systems integrators. Hands-on experience using GitLab and familiarity with modern software development and operations practices, such as CI/CD, DevSecOps, and automation. Experience with cloud, hybrid, and self-managed deployments in regulated environments, including government cloud regions, and an understanding of data residency and sovereignty concerns. Familiarity with security and compliance frameworks common in SLED, such as GovRAMP and NIST SP 800-53. Ability to connect technical solutions to mission outcomes, such as resident service delivery, cyber resilience, cost avoidance, and workforce efficiency, and to advise senior stakeholders on tradeoffs and options. Strong communication and relationship-building skills, including presenting to both technical teams and non-technical leaders such as agency heads, procurement officers, and university administrators. Openness to learning, seeking feedback, and building new skills, including familiarity with GitLab's Solutions Architect handbook and related resources. Nice to have Prior experience working in or for state or local government IT, or a university IT or research computing organization. Experience with legacy or mainframe modernization programs. Familiarity with AI governance practices in the public sector, such as AI use-case inventories, acceptable-use policies, and risk assessments. About the team The SLED Solutions Architect role is part of GitLab's Public Sector Solutions Architect team, a group of trusted technical advisors who help government and education customers understand, evaluate, and adopt the GitLab DevSecOps platform. The team is distributed and collaborates asynchronously across time zones using GitLab and our handbook-first practices to share knowledge, reusable examples, and best practices. On the SLED team, you'll help customers solve challenges unique to state, local, and education organizations: protecting resident and student data, modernizing mission-critical legacy systems, buying through public procurement processes, and stretching limited IT staff and budgets. You'll also bring SLED customer insights back to GitLab to shape product direction. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA; San Jose, CA; Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker Forward Deployed Engineers (FDE) embed directly with our most strategic customers to solve important, complex technical problems and turn ambitious ideas into production outcomes. FDEs take on the most challenging technical challenges using existing Docker products and patterns when possible, and work across customer, Docker Product and Engineering teams to realize new approaches when required.   As a Docker FDE, you will work side-by-side with customer engineering teams to deeply understand their goals, problems, constraints, and technical landscape; identify the highest-leverage opportunities; and design, build, and ship solutions with them. You own the technical journey from discovery and architecture through prototyping, implementation and production rollout.   The solutions you build may use existing Docker products, extend Docker into new environments, integrate deeply with customer and third-party systems, or reveal capabilities that Docker should build next. You work closely with Docker Solutions Architects to evolve existing patterns, and Docker Product and Engineering to turn new learnings into reusable patterns and product capabilities.   RESPONSIBILITIES Build in Production with Customers - Embed with customer engineering teams to design, build, and ship solutions from first prototype through stable production rollout. Use existing Docker products and patterns when possible, invent, prototype and validate innovative solutions when necessary. - Deliver working technical artifacts to customers: custom MCP servers with tightly integrated Docker Sandbox environments for coding agents and containerized agents; Docker Compose definitions for multi-agent harnesses and model-backed applications; Hardened Image standardization and migration; New tools that unblock customer progress. - Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tooling. - Own technical delivery on your engagements: scope the work, sequence it, make trade-offs between speed and quality, remove blockers early, and contribute directly to code whenever progress depends on it. Make AI Adoption Safe and Governable - Translate customer security, compliance, and platform requirements into concrete plans and see those plans through from ideation to production. - Help customers define controls to enable them to adopt agentic AI to solve their unique business problems without compromising security, compliance, data sovereignty or end-user experience. - Establish quality and performance standards for customers and work closely with Docker Product and Engineering to quickly address issues that fall outside of established thresholds - Partner with customer security and platform teams to get agentic workloads through architecture review, threat modeling, and change control. Partner with Solutions Architecture and the Field - Work closely with Solutions Architects to enable off-the-self solutions when possible and provide technical experience and leadership when a bespoke solution is necessary. - Feed implementation learnings back into reference architectures, SOW templates, and success patterns so that FDE innovations become standard features and implementation patterns. - Support the field with technical depth during proofs of concept, escalations, and expansion conversations when a working build is the fastest path to a customer adoption. Close the Loop with Product and Engineering - As part of Docker Engineering FDEs work closely with Product and Engineering teams to fold FDE innovations, learnings, and design patterns into existing or new products and services. - Work with Customers, Product and Engineering to establish quality and performance thresholds, ensuring customer environments meet them consistently, and responding quickly and decisively when they don’t. - Be the voice of the customer. Deliver data-driven and actionable feedback to Product and Engineering: what works well; what does not; what customers are asking for; and what blocks their adoption and forward progress. FDE experience directly influences the roadmap. Shape the Practice - Define the FDE engagement model, delivery standards, and quality bar, and codify them so that engagements are consistent across customers, regions, and delivery partners. - Mentor and lead other Forward Deployed Engineers, and participate in hiring loops to grow the team. - Act as the senior technical escalation point on the hardest problems impacting your customers. Every incident is an opportunity to improve Docker products and services. - Maintain deep, current knowledge of the agentic AI stack: LLMs, APIs, MCP, coding agents, model and harness evaluation approaches, performance and quality thresholds, deployment patterns. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.   QUALIFICATIONS Required - 10+ years of software engineering experience, including 4+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Professional Services Engineer, or Software Engineer with consulting or technical founder experience. - Technical leadership across multiple engagements, teams, or domains, with a proven ability to set delivery standards, define repeatable patterns, and influence product direction through field evidence. - Expert production coding skills in Go, Python, or TypeScript, with a track record of shipping and operating software that other people depend on and of leading technical design reviews. - Deep, hands-on Docker expertise: Dockerfiles and multi-stage builds, Docker Compose, image and registry operations, container networking and storage, and container security fundamentals. - Hands-on experience building with LLMs and agents in production, including tool use and function calling, the Model Context Protocol (MCP server and client implementation), prompt and context engineering, and evaluation of agent behavior. - Working knowledge of software supply chain security: SBOMs, image signing and attestation, vulnerability management, minimal and hardened base images, and secure CI/CD. - Experience integrating with enterprise systems: identity providers (Okta, Entra ID, LDAP/Active Directory), federated identity protocols (OIDC, SAML), secrets managers, Kubernetes, and at least one major cloud platform (AWS, Azure, GCP). - Ability to scope and deliver complex work in ambiguous, fast-moving customer environments, making sound trade-offs between scope, speed, and quality. - Excellent communication skills with engineers, security and platform teams, and executive stakeholders, with a low-ego, collaborative approach and the ability to lead through influence rather than authority. - Proven track record of technical mentorship and of raising the bar for the engineers around you. - High agency and comfort operating autonomously in distributed, remote-first teams. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Travel to customer sites to build in person with customer teams, estimated at up to 50%. Bonus - Experience with Docker Hardened Images, Docker Scout, MCP Gateway, MCP Toolkit, Docker Sandboxes, or Docker Model Runner. - Experience deploying and operating coding agents (Claude Code, Codex, Gemini CLI, Cursor, or similar) in team or enterprise settings. - Experience with air-gapped, regulated, or compliance-driven environments in financial services, healthcare, government, or similar sectors. - Contributions to open source projects in the container, Kubernetes, or MCP ecosystems. - Prior experience founding or scaling a Forward Deployed Engineering or Professional Services practice. Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $198K – $319K + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco HQ Workplace: Hybrid At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We are looking for an Executive Business Partner to support our CEO, VP of Finance, and VP of People. You’ll be a force multiplier across the executive team: managing complex calendars, driving critical follow-through, and, above all, representing these leaders’ voices in writing and in person with precision and polish. Because you’ll routinely draft, edit, and speak on behalf of executives across the company, this role calls for a very high bar for written and verbal communication: clear, correct, well-organized, and appropriately toned for the audience, every time. This role is a great fit for someone who embodies Render’s Operating Principles https://render.com/careers, particularly Own impact and outcomes (you anticipate needs before being asked), Raise the quality bar (you take real pride in the quality of every email, deck, and invite that carries a leader’s name), Reason clearly; execute quickly (you triage and act fast, even with incomplete information), and Build together (you build trust quickly with a wide range of stakeholders across the company). WHAT YOU’LL DO - Own and proactively manage complex, fast-changing calendars across three executives, resolving conflicts and prioritizing time against what matters most - Approach AI as a core productivity partner and proactively use AI to automate scheduling and streamline communications, research, and other daily workflows rather than defaulting to manual processes out of habit or hesitation - Draft, edit, and proofread executive communications including calendar invites, Slack messages, memos, and decks to a consistently high bar for clarity, correctness, and tone, since these often represent the leader’s voice directly - Prepare polished briefing materials ahead of meetings, including attendee bios, context, and clear agendas - Take notes in meetings and offsites; synthesize discussions into clear, well-organized action items and drive follow-through to completion - Coordinate domestic and international travel logistics end-to-end - Plan and help run internal events, staff meetings, and offsites, from logistics through agenda-setting - Track deadlines and deliverables across email, Slack, and other tools; proactively flag when priorities are slipping - Handle sensitive financial and people-related information with a high degree of discretion and judgment - Manage ad hoc research, vendor coordination, expenses, and other operational needs across the three executives - Serve as a trusted, high-context communication conduit between the executives and the rest of the company WHAT WE’RE LOOKING FOR - AI-forward mindset: excited by AI tools, and consistently looking for ways to use them to increase velocity, output, and strategic value. - Exceptional written and verbal communication skills: you write clearly and correctly under time pressure, and can adapt tone and formality for different audiences (this is a hard requirement) - Proven experience as an Executive Business Partner supporting senior leaders, ideally supporting multiple executives simultaneously at a fast-growing company - Demonstrated discretion and sound judgment handling confidential financial and people-related information - Strong organizational skills and the ability to prioritize competing, high-stakes demands without dropping details - Comfort operating with ambiguity and moving quickly; you reason clearly about what matters most and execute without waiting for perfect information - A strong ownership mindset: you anticipate needs, follow through without reminders, and hold yourself accountable for outcomes, not just tasks completed - Ability to build trust and rapport quickly across a wide range of personalities and seniority levels NICE-TO-HAVES - Direct experience supporting a CEO, CFO/Head of Finance, or Head of People - Experience planning company offsites or events at scale - Familiarity with standard EA tooling (Google Workspace, Slack, expense platforms, travel booking tools) - Prior experience operating in both early-stage and more scaled organizations If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning Demonstrated experience working in, and relevant relationships across, the region Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Demonstrated ability to lead complex research projects from conception to publication Demonstrated ability to communicate technical findings to diverse audiences Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Parloa is looking for a Manager of Agent Architecture to lead Agent Architects, deliver AI Agent implementations, and maintain delivery quality.

Location: Office Based - London, UK This is an opportunity to kickstart your career by joining Canonical. You will be working from our Canonical London Office and will be accountable for delivering technical support to our employees and customers, as well as facilitating AV support for office conferences and events. From problem qualification to full resolution, you will own and manage your cases. When needed, you will transfer your cases to your colleagues or involve senior engineers. If you have an affinity for open source development and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical. While our engineers regularly solve deeply interesting, complex technical problems - from triaging cloud environments to root-cause analysis on unseen Linux kernel crashes - this is fundamentally a role rooted in human connection. You will act as a trusted peer and technical guide to external engineering teams, translating intricate open-source challenges into clear, empathetic solutions. We are rapidly expanding and looking for brilliant problem solvers who are just as passionate about building strong, collaborative relationships with customers as they are about the next generation of Canonical solutions. Location: Office Based in London, England. The role entails Empathetic Engagement: Partner directly with customers across remote sessions, ticketing,, and live conversations to deeply understand and resolve their technical roadblocks. Collaborative Problem Solving: Work hand-in-hand with internal engineering teams and regional peer groups to bridge the gap between complex code fixes and real-world customer satisfaction. True Ownership: Manage your support cases with a strong sense of personal integrity, ensuring commitments are honored and customer expectations are communicated transparently and predictably. Ubuntu Lifecycle Guidance: Develop a rich understanding of the Ubuntu development process, empowering you to give customers clear, human context regarding timelines for engineering fixes. Knowledge Advocacy: Author and maintain accessible knowledge base articles, ensuring lessons learned are shared openly to elevate the entire open-source community. Operational Reliability: Participate in a regular weekend working rotation to maintain seamless, high-touch continuity of care for our global partners. What are we looking for in you Communication Excellence: Exceptional written and spoken English, with a natural ability to convey technical complexity clearly, warmly, and compellingly. The Soft-Skill Edge: A genuine passion for helping people, paired with the emotional intelligence to navigate high-stakes technical situations with composure and empathy. Academic Dedication: Exceptional academic track record from both high school and university. Educational Background: An undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path. On-Site Technical Leadership: Based in our state-of-the-art London, UK office, you will serve as a key technical support resource for our local teams and employees. Driven Mindset: A proven track record of going above-and-beyond expectations to deliver meaningful, outstanding results for teams or customers. Linux & Cloud Familiarity: Practical, hands-on experience supporting Linux systems, with an exposure to three or more of the following: Virtualization & Cloud: Using KVM or OpenStack. Containers: primarily Docker, LXD/LXC, or Kubernetes. Storage Ecosystems: Block, object, and network storage technologies. System Networking: Navigating bonding, firewalls, bridging, switching, or MTU tuning. Analytical Curiosity: A strong troubleshooting mindset—the ability to look into stack traces or logs, identify OS/application-level bugs, and strategically guide the customer through next steps. Development Fundamentals: Basic programming logic in any language to help parse code and collaborate effectively with Canonical Engineering teams. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person. Personal learning and development budget of USD 2,000 per year. Bi-annual compensation review. Company recognition rewards. 40 days annual leave per annum, including public holidays and our All Company holiday periods. Maternity and paternity leave. Team Member Assistance Program & Wellness Platform. Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access. About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Office Based - London, UK Accelerate your technical career by joining Canonical in a high-impact, multi-disciplinary role.. You'll be working from our London office, which hosts our events, customer demos and visitors, in an event space with professional live video, audio and streaming equipment. You'll wear three hats: Linux and cloud support engineer, owner of the office's technical infrastructure, and one of the people running the live production at our events. You'll own your cases from first contact to resolution, bringing in colleagues or senior engineers when needed, and you'll keep the technology running when it matters most, with people watching. While professional broadcast or AV experience is not required, a strong technical curiosity for audio/video systems and the composure to manage live, high-stakes environments are a must. Location: Office Based in London, England. The role entails Office technology: Own the technical state of the London office (network, devices, meeting spaces, AV), including onboarding new colleagues, and know how it all fits together. Live events: Run the technology for events and customer demos, from set-up and live operation through to tear-down, and coordinate external crew for larger events. Customer support: Own your cases end to end, working with customers by ticket, remote session and live conversation, and with engineering teams to turn code fixes into customer outcomes. Set clear expectations and keep your commitments. Ubuntu lifecycle: Understand the Ubuntu development process well enough to give customers realistic timelines for fixes. Knowledge: Write and maintain knowledge base articles so lessons learned are shared. What are we looking for in you Exceptional written and spoken English, and the ability to explain technical complexity clearly and warmly An exceptional academic record at high school and university, with an undergraduate degree in a technical subject or a compelling narrative about your alternative path A builder's streak: something you've set up or run for other people on a deadline, such as a home lab, hackspace, student tech crew, live sound, streaming, or school or club IT AV curiosity: real interest in audio, video and live production, or a clear appetite to learn it Composure and care: you like helping people and stay calm when a high-stakes moment, including a live event, gets tense A track record of going above and beyond for teams or customers Hands-on experience supporting Linux systems, plus any of: virtualization or cloud (KVM, OpenStack), containers (Docker, LXD/LXC, Kubernetes), storage (block, object, network), or networking (bonding, firewalls, bridging, switching, MTU tuning) A troubleshooting mindset (logs, stack traces, OS and application-level causes) and programming fundamentals in any language What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person. Personal learning and development budget of USD 2,000 per year. Bi-annual compensation review. Company recognition rewards. 40 days annual leave per annum, including public holidays and our All Company holiday periods. Maternity and paternity leave. Team Member Assistance Program & Wellness Platform. Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access. About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE Our growth stack has a lot of moving parts. The app and the website send events through a customer data platform to the ad platforms, our mobile measurement partners and the data warehouse. Most launches touch several of those systems and a few different teams. You'll own the growth roadmap and work day to day with the MarTech and growth engineers who build and maintain all of this. Your job is to keep launches moving, make sure they get properly tested, and make sure the numbers on the other side can be trusted. WHAT YOU'LL DO - Own the growth roadmap. Turn requests from marketing, paid media and product into scoped tickets with clear owners and dates. Keep the roadmap, runbooks and data flow docs current, and automate the repetitive parts with scripts or AI tools. - Lead testing and QA with the MarTech and growth engineers. Write test plans, check changes in staging and on test devices before they ship, and confirm they worked after launch. - Keep data flowing into paid media. Manage customer data platform destinations, audience syncs, reverse ETL and server-side events. Watch for dropped events, low match rates and schema drift, and write or tweak simple scripts when a setting isn't enough. - Own our relationship with the mobile measurement partners. Debug attribution problems, keep SDK and ad network integrations healthy, and handle support escalations, renewals and roadmap requests. - Keep tracking specs consistent across the app, the website, the customer data platform and web analytics, and dig in when numbers from different sources don't match. - Run SDK upgrades, attribution migrations and new vendor onboarding from evaluation through cutover, with a rollback plan. - Support paid and acquisition work across search, social, app-install networks, app store search ads and affiliates, including click ID plumbing, exclusion lists and test setup. - Bring Privacy and Legal in early, so consent, data-sharing limits and data subject requests are part of the plan and not a surprise at launch. YOU BRING - 8+ years in technical program management, supporting growth, performance marketing, martech or data teams. - Hands-on time with a customer data platform. You've connected it to several ad platforms, mapped and filtered events, and synced audiences with consent rules applied. You can read a tracking plan or a destination config and spot where a launch will break. - Experience with a mobile measurement partner and a good grasp of attribution: click IDs, ATT and SKAdNetwork, view-through versus click-through, and platform-reported versus first-party conversions. You've debugged discrepancies and dealt with the vendor directly. - Experience doing testing and QA with engineers on tracking or integration launches: test plans, staging checks, debug tools, test devices, and regression checks after SDK or release changes. - You write SQL and pull your own numbers. - A track record of running programs across engineering, design, data and marketing, with clear specs, honest status updates and a written record of decisions. - Good judgment on priorities, and comfort saying no. You're fine with ambiguity and with working asynchronously on a remote-first team. NICE TO HAVE - Experience at a consumer fintech or another regulated company. - Reverse ETL into paid media (conversion APIs, offline conversions, audience uploads) and keeping it healthy: match rates, deduplication, delays and dropped events. - Reading and writing simple scripts in JavaScript or Liquid, for example to transform an event payload or build a template. - Experience with a cloud data warehouse. - A working understanding of marketing privacy rules: consent, CCPA and similar state laws, GLBA, and limits on sharing customer data with ad platforms. You know when to ask Legal. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? The role will lead Fin’s New Business organization in North America, a team of Account Executives and their front-line managers responsible for new logo and new revenue growth across the SMB and Mid-Market segments. Reporting to the VP, NAMER Sales, this person owns the new business strategy, operating plan, and results for the region, and is accountable for building and running a high-performing, multi-layered sales organization. We are looking for a seasoned second-line leader who excels at hiring and developing sales managers, inspiring a large team, and partnering cross-functionally to build efficient, repeatable, and customer-centric sales processes. This leader will play a central role in shaping and executing our value-led sales strategy and in scaling the NAMER new business engine. For this big challenge, we are looking for an innovative, agile, and resilient Sales Leader to help us write the next chapter in the AI-first customer support space. What will I be doing? Sales Strategy & Planning: Partner with the VP, NAMER Sales and senior leadership to define the new business strategy for North America across SMB and Mid-Market. Own segment planning: territory and capacity design, headcount plans, quota setting, and resource allocation across teams. Translate company goals into regional operating plans and tactics that reflect market dynamics and the Fin opportunity. Leading Leaders: Hire, coach, and develop a team of front-line Sales Managers; raise the bar on how they recruit, ramp, and manage their Account Executives. Build a strong leadership bench and a culture of accountability, rigor, and continuous improvement. Pipeline, Forecasting & Execution: Own the regional new business forecast; drive forecast accuracy and pipeline discipline across all teams. Inspect pipeline health, deal progression, and conversion, and intervene on strategic deals where needed. Analyze sales metrics to identify trends, optimize process, and improve productivity and win rates. Cross-Functional Collaboration: Partner with Marketing, SDR, Product, Sales Engineering, Enablement, RevOps, and Customer Success on go-to-market strategy, pipeline generation, and a seamless customer experience. Represent NAMER New Business in company planning and ensure alignment on goals, budgets, and investments. Customer Focus: Maintain a deep understanding of customer needs, the competitive landscape, and market trends to help teams win. Ensure customers are handed off to the Relationship Management team thoughtfully, always keeping the customer experience top of mind. What skills do I need? 5+ years in a quota-carrying new business IC role with proven success. Must demonstrate direct experience running strategic deals 6 and 7 figure deals (involving procurement, legal, security, executive selling) 5+ years of sales management experience. (2 years in second-line leadership) Track record of building and scaling new business organizations across multiple segments with a mix of velocity and strategic selling (SMB and/or Mid-Market) Demonstrated success developing and executing outbound sales strategies, ideally within a product overlay or co-prime selling environment. Exemplary new business sales acumen; experience with Command of the Message and MEDDPICC a plus Strong command of forecasting principles and a track record of accurate revenue forecasting at the regional level Experience developing GTM strategy and building and executing operational plans (capacity, territory, quota, headcount) Excellent communication skills across a variety of mediums (written, verbal, presentation, interpersonal), including executive-level communication *Proof of eligibility to work in the United States is required. The OTE salary range for candidates within the Greater Chicago Area is $372,600-$445,050. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Europe; London Workplace: Remote Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. THE ROLE: We're looking for a Staff (L6) Product Designer to lead design for some of Synthesia's AI-native, agentic Sessions product surfaces. Sessions are the experiences where employees learn through conversation, companies lrun a survey at scale, and AI becomes a direct participant in how work gets done - not just a tool behind the scenes. This area is central to redefining what a video platform can be: moving upstream from content creation into workforce development, and making complex AI capabilities feel natural, trustworthy, and effective for everyday users. You'll operate as a senior IC: setting direction, influencing roadmap decisions, shaping bets with Product and Engineering leaders, and raising the craft bar. In practice, this role is about solving AI-native design problems, for example: - Designing real-time, conversational avatar experiences that feel engaging and natural - not robotic or gimmicky - for employees learning and practising skills at work. - Creating interaction patterns for AI-driven workflows that give users the right amount of control, transparency, and trust without overwhelming them with complexity. - Improving output quality through better structure, guidance, and feedback loops - helping users understand what the AI is doing, catch issues early, and iterate with confidence. - Working at the frontier where AI changes what "interaction" means, and the best patterns are genuinely still being invented. IN THIS ROLE YOU WILL: - Own major AI-native bets end-to-end, from problem framing to shipped outcomes and iteration. - Set a design vision for our "Sessions" surface, and influence adjacent product areas to stay coherent. - Partner closely with Product and Engineering to define what "great" looks like (principles, quality bar, success metrics) and then drive toward it. - Prototype and test interaction models quickly - including novel agentic and conversational patterns - and know when high-fidelity matters. - Raise the bar on craft: interaction design, UI quality, systems thinking, and consistency across AI-native experiences. YOU SHOULD APPLY IF YOU BRING: - Significant experience designing complex, high-usage product surfaces - ideally including AI-native products, agentic features, conversational interfaces, or products where the system takes meaningful autonomous action. - Strong craft in interaction design and visual design, and a track record of shipping work that measurably improves the product experience. - Comfort operating in ambiguity: you can turn unclear and fast-moving problem spaces into crisp direction, and you do not wait for perfect clarity. - Systems thinking: you understand how AI capabilities, model constraints, and product architecture shape what's actually possible in the UX - not just what looks good on a screen. - Excellent communication in design reviews and cross-functional decision-making contexts. - Experience designing workflows where trust, transparency, and user control are central - helping users feel confident in AI-driven outputs rather than confused or excluded. - A track record of tackling novel problems in maturing product spaces, and shaping the product from early-stage bets through to execution. - The ability to leverage feedback from users and customers to ensure the product continues to meet real needs - including enterprise users with high stakes around quality, compliance, and scale. AT SYNTHESIA WE EXPECT EVERYONE TO: - Put the Customer First - Own it & Go Direct - Be Fast & Experimental - Make the Journey Fun You can read more about this in this public Notion page: https://synthesia.notion.site/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2 BENEFITS - A flexible, remote friendly role based out of Europe or one of our hubs in London, Copenhagen, Munich, or Zurich. - 25 days of annual leave + public holidays in the country where you are based. - A generous referral scheme. - Work from home set up. - At Synthesia, you can work from anywhere (within reason) in the world for up to 60 days per year! - A huge opportunity for career growth as you’ll help shape a market-defining product.

Location: Poland; Serbia; Spain; Georgia; Thailand Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Product Marketing Manager . Your main tasks will be: Develop and execute go-to-market strategies for new and existing products Define target audiences, positioning, and key messaging Drive user acquisition, engagement, and retention growth Collaborate cross-functionally with product, design, and content teams Lead competitive and market analysis to inform strategy Build and optimize marketing funnels and campaigns across channels Manage marketing budgets and measure performance with clear KPIs Ensure consistent brand voice and user experience across touchpoints Continuously refine marketing effectiveness and best practices. We expect from you: Go-to-market strategy development Market research & competitive analysis Segmentation, targeting & positioning Product positioning & messaging frameworks Data analysis & marketing analytics Customer journey mapping & funnel optimization A/B testing & conversion rate optimization Performance marketing (Google Ads, Meta, TikTok, etc.) CRM & lifecycle marketing Content & copywriting for marketing materials Pricing & packaging strategy. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!