Location: Boston, Massachusetts, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
We are hiring a Sourcing Manager, Technology Services to join our high-performing procurement team! In this position, you will champion sourcing, contracting, and supplier management for Technology & Digital Services throughout Hasbro, Inc. and its subsidiaries and affiliated entities, including Wizards of the Coast, LLC — handling an expansive, multi-entity portfolio covering SaaS, cloud, infrastructure, hardware, network, data centers, security tools, managed services, and IT professional services.
You will work closely with Technology, Legal, Finance, and business partners across the enterprise to deliver outcomes that optimize speed, risk, and value. We adopt change, think big, and believe procurement is a strategic function — not just a back-office one. In this role, you will handle the entire sourcing process for Technology & Digital Services — from RFQs and RFPs through supplier assessment, negotiation, and contract finalization — while owning the full contract lifecycle, including renewal planning, auto-renewal management, risk identification, and compliance monitoring. Partnering with IT Security, Data Privacy, and Enterprise Architecture ensures every vendor meets our compliance and risk standards before contract execution.
On the commercial side, negotiating favorable terms — unit pricing, volume discounts, renewal price caps, payment terms, and SLA protections — goes hand in hand with capturing and reporting savings, cost avoidance, and working capital benefits through Hasbro's procurement savings framework. Spend data, market benchmarks, and vendor intelligence inform strategy and drive favorable pricing decisions across the portfolio. Your expertise in procurement will be crucial in driving outstanding results and flawless management of all sourcing activities. You will bring a proven track record of success and the ability to compete in a dynamic environment. You will Build structured Supplier Relationship Management programs that drive accountability, performance, and continuous improvement and champion sourcing processes and governance frameworks that scale across our enterprise.
Effective from the date that Hasbro opens its new Boston location, this position will be onsite Tuesday – Thursday at Hasbro’s new HQ location in Boston, MA. In the interim, this position will be onsite Tuesday –Thursday at Hasbro’s HQ in Pawtucket, RI or at Hasbro’s temporary location in Boston, MA.
A Day in the Life of a Sourcing Manager, Technology Services:
Deliver measurable procurement value through structured sourcing execution, cost optimization, and supplier performance management
Track and report efficiency using measurable savings and cost avoidance metrics to tell the complete value story
Balance speed, quality, and risk to meet business objectives without compromising governance
Collaborate & Influence
Build strong connections with cross-functional collaborators across creative, technology, legal, and finance teams
Influence without authority by bringing insight, structure, and solutions to sophisticated business needs
Lead with Integrity
Operate with clarity and accountability in all sourcing and contracting activities, collaborating with suppliers in a mutually beneficial manner
Maintain Hasbro’s ethical standards, financial controls, and governance expectations
Think Strategically
Employ market data and spend analysis to formulate and carry out sourcing strategies with collaborators
Anticipate risks and opportunities to support balanced business growth
Adopt Innovation & Change
Champion the improvement of procurement approaches
Bring forward fresh insights, tools, and techniques to refine the sourcing and management of Technology & Digital services
Develop Self & Others
Demonstrate continuous learning and professional growth
Share knowledge, mentor peers, and contribute to building procurement capability across the organization
What You Will Bring:
Bachelor’s degree or equivalent experience in Business, Supply Chain, Finance, or a related field
5–7 years of procurement or category management experience concentrating on Technology & Digital Services categories — including software, SaaS, cloud, managed services, or IT professional services
Demonstrated knowledge of Enterprise Architecture, Software Development Processes, and Information Security and Data Privacy considerations in vendor selection and contracting
Proven experience leading sourcing initiatives, supplier negotiations, and varied collaborator engagement across multiple business units or legal entities
Strong analytical, organizational, and problem-solving skills with experience using spend data and market benchmarks to drive sourcing decisions
Ability to handle competing priorities in a collaborative, fast-paced environment
Excellent communication, influencing, and relationship-building skills across technical and non-technical audiences
Experience with procurement platforms, contract lifecycle management systems, and spend analysis preferred
Familiarity with vendor risk management processes and tools preferred
Travel approximately 10%
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$97,700
—
$146,600 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Los Angeles, CA or Remote
Workplace: onsite
Role Description
Spin.AI is looking for a highly analytical, hands-on Growth Marketing Lead to own the performance engine behind our inbound marketing strategy across Spin.AI’s portfolio: including Backup (Mission critical SaaS apps), Security (DLP and Browser), and Atlassian backup/ecosystem.
This person will connect organic, paid, social, web, retargeting, nurture, conversion, and performance measurement into a cohesive inbound growth engine. You'll partner closely with our Director of Marketing to take strong stories, campaigns, content, and creative and ensure they reach the right audiences, convert effectively, and contribute to a measurable pipeline.
You'll serve as the internal owner of growth performance, connecting marketing programs, external agencies and freelancers, our fractional Marketing Operations support, data, and funnel performance. You'll have significant ownership and autonomy in this role.
We're hiring you for your expertise, and we trust you to use it. We want you to challenge assumptions, bring forward ideas, tell us when you think there's a better way, and make decisions within your area of ownership. You won't have someone standing over you telling you how to do your job; you'll have the space and support to figure out what will drive results and execute against it.
What You'll Own:
Inbound Growth & Demand
Own performance across the inbound marketing funnel, from acquisition through qualified opportunity.
Understand how prospects discover, engage with, convert through, and progress across marketing channels.
Identify gaps, friction, and growth opportunities throughout the buyer journey.
Partner with the Director of Marketing to connect organic visibility to measurable business outcomes.
Develop a holistic view of inbound performance across all three brands.
Paid Acquisition & Performance Marketing
Own paid acquisition strategy across Google, LinkedIn, retargeting, paid social, and additional channels.
Manage and optimize paid marketing budgets.
Determine where investment should increase, decrease, or be tested based on performance.
Develop audience, offer, channel, and campaign testing strategies.
Evaluate performance based on qualified opportunities and pipeline—not simply impressions, clicks, or lead volume.
Manage paid media agencies, freelancers, and specialized partners.
Campaign Activation & Distribution
Partner closely with the Director of Marketing to turn integrated campaign strategies into measurable growth programs.
Develop distribution and amplification plans around major campaigns and content.
Determine appropriate audiences, channels, offers, conversion points, and follow-up strategies.
Ensure campaigns have clear paths from awareness and engagement to conversion.
Find opportunities to extend the reach, performance, and business value of existing content and creativity.
Conversion Rate Optimization
Own CRO across landing pages, forms, CTAs, campaign experiences, and key website conversion paths.
Partner with the Director of Marketing and creative resources on messaging and creative variations.
Build and maintain an ongoing testing roadmap and turn successful experiments into repeatable best practices.
Retargeting, Lifecycle & Lead Nurture
Develop strategies for continuing to engage prospects after their initial interaction.
Build retargeting audiences and programs across relevant channels.
Develop lifecycle segmentation and nurture strategies.
Partner with fractional Marketing Operations support on automation and technical implementation.
Improve progression from initial engagement to qualified opportunity.
AI-Native Marketing & Execution
Be AI-native in how you work, using AI as an everyday part of research, analysis, execution, experimentation, and decision-making – not simply as a writing assistant.
Use AI to analyze marketing and performance data, uncover trends and anomalies, synthesize insights, identify growth opportunities, and accelerate reporting.
Use AI to accelerate campaign development and experimentation, including audience research, messaging variations, landing-page testing, creative ideation, and performance analysis.
Build AI into repeatable workflows to automate manual work, connect information across tools, and increase the speed and quality of marketing execution.
Be comfortable working with leading AI platforms and AI-enabled productivity tools such as ChatGPT, Claude, Claude Cowork, and similar tools, while continuously evaluating new technologies as the ecosystem evolves.
Know how to work effectively with AI-generated analysis: asking the right questions, providing the right context and data, validating outputs, and applying human judgment before acting on recommendations.
Proactively identify opportunities where AI can make our marketing organization faster, smarter, more analytical, and more scalable.
Growth Experimentation
Maintain a prioritized growth experimentation roadmap.
Move quickly from hypothesis to execution
Scale what works and stop what doesn't.
Proactively bring new ideas, channels, technologies, and opportunities to the team rather than waiting for them to be assigned.
Performance Analytics & Attribution
Connect marketing activities to measurable business outcomes.
Understand performance across visitor → lead → qualified lead → opportunity → pipeline.
Establish KPIs for campaigns and acquisition programs.
Monitor acquisition costs, funnel conversion, opportunity creation, pipeline contribution, and campaign ROI.
Turn performance data into recommendations and actions, not simply dashboards.
Help leadership understand what's working, what's not, why, and what Marketing should do next.
Partnership With the Director of Marketing
This is designed to be a
close counterpart relationship between two distinct areas of marketing expertise.
The Director of Marketing owns the
market-facing strategy
: overall marketing strategy, integrated campaigns, narrative, brand, content, messaging, creative direction, organic strategy, customer storytelling, thought leadership, and market POV.
The Growth Marketing Lead owns the
performance engine
: acquisition, distribution, activation, conversion, retargeting, nurture, experimentation, optimization, and measurement.
You'll be involved early in campaign planning, not handed finished assets and asked to promote them. Your audience, channel, conversion, and performance insights should influence how campaigns are built from the beginning.
At the same time, the role maintains clear functional ownership. The Growth Marketing Lead does not replace ownership of overall marketing strategy, brand strategy, editorial strategy, company narrative, creative direction, or integrated marketing strategy.
Both roles remain deeply connected to GTM, pipeline, revenue, and business outcomes.
Together, they create the feedback loop between what the market needs to hear and what performance data tells us is resonating.
Fractional Marketing Operations Partnership
The Growth Marketing Lead will work closely with a
fractional/retained Marketing Operations resource
who can support the technical infrastructure required to run and measure the growth engine.
This may include CRM and marketing automation infrastructure, campaign tracking and attribution, lead scoring and routing, lifecycle automation, integrations, database health, dashboards, and reporting infrastructure.
You don't need to personally administer every system. You
do
need enough technical fluency to know what needs to be built, articulate the business requirements, recognize when something isn't working correctly, and use the resulting data to make informed decisions.
You will effectively serve as the
business owner of marketing performance
, with specialized Marketing Operations support helping i
What Success Looks Like:
Success will be measured through outcomes including:
Marketing-sourced pipeline
Qualified opportunities generated
Inbound conversion rates
Cost per qualified lead and opportunity
Lead-to-opportunity conversion
Paid acquisition efficiency
Landing-page and website conversion
Funnel velocity
Growth experiment performance
Improved visibility and confidence in marketing performance across the portfolio
Experience We're Looking For:
3–5+ years of B2B growth, demand generation, performance marketing, or related experience, ideally within cybersecurity, SaaS, or technology.
Demonstrated experience owning multi-channel inbound acquisition programs.
Hands-on understanding of Google Ads, LinkedIn Ads, retargeting, paid social, and performance marketing.
Strong understanding of SEO and organic acquisition, with experience connecting organic traffic to conversion and pipeline.
Experience with landing-page optimization, CRO, A/B testing, and structured experimentation.
Experience building retargeting, nurture, and lifecycle programs.
Strong understanding of B2B marketing funnels and progression from visitor through lead, opportunity, pipeline, and revenue.
Experience working with CRM, marketing automation, attribution, analytics, and reporting systems.
Demonstrated proficiency using AI in modern marketing workflows, including research, data analysis, reporting, campaign optimization, experimentation, automation, and productivity. You should be comfortable working across leading AI platforms and quickly learning new tools as they emerge.
Strong analytical skills and the ability to translate data into clear recommendations and actions.
Experience managing agencies, freelancers, vendors, and specialized external resources.
Experience collaborating closely with senior marketing leadership, Content/Creative, Sales, Product, and external Marketing Operations resources.
Comfortable balancing strategic thinking with hands-on execution.
Cybersecurity experience is valuable, but strong B2B SaaS experience combined with the ability and desire to learn a technical market quickly can also be successful.
How We Work:
You have a startup mindset.
You're a self-starter who doesn't need someone telling you what to do throughout the day. You can take a business objective, figure out what needs to happen, ask the right questions, and independently move the work forward. You're resourceful, curious, and a fast learner.
We trust your expertise.
There is real ownership in this role. We hire great people because we want their ideas, judgment, and experience – not because we want someone to simply execute instructions. If you think there's a better approach, we genuinely want to hear it. If the data is telling you we should change direction, say so. You'll be trusted to make decisions within your area, experiment thoughtfully, and do your job in the way you believe will produce the strongest results.
You're collaborative and dynamic.
You'll work closely with the Director of Marketing, broader marketing leadership, Sales, Product, external partners, and specialists across the organization. You know how to bring strong opinions and expertise to the table without creating territorial silos. You communicate well, welcome feedback, and value other people's expertise as much as your own.
You move fast.
We'd rather thoughtfully test a strong idea, learn from it, and iterate than spend months trying to make something theoretically perfect. You know how to prioritize, execute, measure, and move forward. If something doesn't work, understand why, learn from it, and try again.
You take ownership.
If something you're responsible for isn't working, you investigate it. If tracking looks wrong, you flag it. If an agency isn't delivering, you address it. If you see an opportunity, you bring it forward. "Nobody told me to" isn't how we operate.
You're a team player.
We care about the work we do and the people we do it with. You take pride in producing great work, celebrate team wins, help when someone needs it, and genuinely enjoy collaborating with smart people toward a shared goal.
You're adaptable.
Our products evolve. Technology advances. Messaging changes. Priorities change. AI is changing how people discover and consume information, and cybersecurity certainly doesn't stand still. You're comfortable operating in a fast-moving technical market and can learn quickly enough to keep pace.
You're AI-native.
AI is changing both the cybersecurity market we operate in and the way great marketing teams work. We expect you to use it. Whether you're analyzing campaign data, researching an audience, building a workflow, pressure-testing an idea, finding patterns, or eliminating repetitive work, your instinct should be to ask how AI can help you do the job better and faster. We're not looking for someone who occasionally opens an AI tool, we want someone who actively experiments with new capabilities and incorporates the best ones into how they work.
You're comfortable with cybersecurity.
You don't need to know every acronym on day one, but you should enjoy learning complex technology and understanding the problems our customers are trying to solve. You can become conversant enough in cybersecurity to make intelligent decisions about audiences, campaigns, messaging, and performance.
You care about outcomes more than activity.
Launching a campaign isn't the finish line. A beautiful dashboard isn't the outcome. More leads aren't necessarily better leads. You want to understand what actually moved the business and what we should do differently because of it.
And we genuinely enjoy working together!
Across Spin.AI, Revyz, and DoControl, we want people to be proud of what they build, without believing great work requires sacrificing everything outside of it. We respect work-life balance, trust people to manage their responsibilities, and value positive, healthy working relationships. We work hard, move quickly, and care deeply about results – but we also want people to enjoy the work they're doing and the life they're living while they do it. A positive attitude, mutual respect, and being someone others genuinely enjoy working with matter here.
What We Offer:
Unlimited PTO
Hybrid Office Model
Paid Holidays
Premium health, dental, vision, and life insurance, 100% covered by the company
401(k)
Employee Wellness Program
Why Spin.AI:
Inc. 5000 list for 2026! 🚀
Overall Ranking: #3,309
Industry Ranking: #107
Metro Ranking: #114
State Ranking: #463
Forbes Named Spin.AI One of America's Best Startup Employers
THREE
Years in a Row (2024- 2026)
Work in a fast-moving, high-impact cybersecurity company recognized by
Gartner, Forrester, and G2
.
Collaborative, transparent culture – your ideas and experiments matter.
Direct impact: your work translates into real business growth and visibility.
Growth opportunities and performance-based rewards.
Location: Colombia; Argentina; Brazil
On behalf of
WorkforceTech Client #1
, SD Solutions is looking for a talented
Professional Services Manager
(combining Online and Offline aspects) to deliver exceptional customer onboarding and configuration support.
You will meet clients on video calls to understand how their business operates and configure the system together with them in real time — acting as a trusted guide who keeps things clear, simple, and practical, even for non-technical users. At the same time, you will work behind the scenes on execution: receiving clear requirements and ensuring the system is configured accurately, completely, and ready to use before the customer logs in.
Your goal is straightforward: When the interaction ends (whether live call or backend task), the customer’s account is fully usable for daily operations — nothing half-done. Your work prevents rework, confusion, and customer frustration.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
Lead live onboarding and training sessions with customers via video calls (Zoom / Google Meet), understand their business workflows, and configure the system in real time
Configure Connecteam based on provided requirements (both live and offline): time clocks & attendance rules, schedules & shifts, PTO & payroll policies, forms, checklists, permissions, groups & roles
Build and set up schedules, rules, forms, templates, and policies
Upload and manage employee data accurately (via Excel/CSV imports, data migrations from other systems)
Assist customers with data transitions (e.g., importing schedules from Excel)
Perform QA and thorough review of setups before go-live; identify blockers and missing inputs early
Advise customers on best practices to ensure successful adoption
Clearly document everything configured and any remaining action items
Coordinate closely with Customer Success, Online/Offline teams, and other departments for smooth handoffs and follow-ups
Ensure the customer’s account is fully ready for daily operations immediately after onboarding
Requirements:
1+ year of experience in SaaS onboarding, implementation, professional services, technical support, or back-office configuration (required)
Strong technical aptitude and exceptional attention to detail
Native or near-native English level with excellent presentation and communication skills
Confidence working directly with customers (often non-technical frontline managers)
Ability to break down complex requirements into clear, actionable steps
Highly organized, consistent, and reliable
Fast learner, very tech-savvy, quick to master new tools and systems
Comfortable working US hours (CST/EST time zone) – required for live calls
Previous experience with SaaS configuration, operations, or back-office support – big plus
Shared Tools & Stack:
Connecteam platform (web + mobile, online/offline capabilities)
Excel/CSV for data uploads
Task & project management: Monday.com, Trello, etc.
CRM: HubSpot (familiarity)
Video conferencing: Zoom / Google Meet
Documentation: Notion, Google Docs
AI tools are encouraged and welcomed to boost efficiency
About the company:
A B2B SaaS platform that gives frontline businesses — restaurants, retail chains, cleaning companies, laundries — a single tool to manage their hourly workforce. Features span time clocks, shift scheduling, PTO policies, payroll exports, digital forms, checklists, and permission-based roles for both desktop and mobile use.
By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy
https://sd-solutions.breezy.hr/privacy-notice
, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
Location: Athens
Workplace: Remote
About the company:
KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe.
About the role
We are looking for an ML Engineer to improve automatic speech recognition (ASR) for Sophea Meet. You will work with real meeting audio and own the improvement loop from data and model experiments through evaluation and production performance.
The initial language focus is English. Additional languages, starting with Greek, will be prioritized with Product based on usage and product needs.
What you will do
- Train, fine-tune, adapt, and evaluate speech recognition models based on measured product needs.
- Build representative benchmarks and regression tests for real meeting audio.
- Prepare speech datasets and investigate difficult cases, including noise, overlapping speakers, long sessions, and specialized terminology.
- Use error analysis to decide which model, data, or pipeline changes will improve transcription quality.
- Improve inference across accuracy, latency, throughput, reliability, and cost.
- Deploy and monitor model versions with Engineering, while working with Product to set quality goals and prioritize improvements.
What you will need
- 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results.
- Strong hands-on ASR or speech ML experience, including a speech recognition system you shipped or materially improved.
- Experience training, fine-tuning, or adapting deep learning models using real-world audio data.
- Strong evaluation skills, including WER/CER, benchmark design, error analysis, and regression testing.
- Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills.
- Experience deploying, monitoring, and maintaining production ML systems.
Nice to have
- Multilingual ASR, accent robustness, domain adaptation, or diarization.
- Streaming speech recognition and low-latency inference.
- MLOps, evaluation, or data pipelines for speech systems.
- Experience with meeting transcription, voice agents, or enterprise speech products.
What is there for you
- Compensation: Competitive package aligned with talent benchmarks.
- Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications.
- AI-native environment: Real challenges across model development, evaluation, and production AI systems.
- Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.
Location: Athens
Workplace: Hybrid
About the company:
KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe.
About the role
We are looking for an ML Engineer to develop capabilities that work on physical robots. You will take ideas from model and data experiments through robotics integration and evaluation on real hardware.
Our fleet includes Unitree Go2, G1, H1, and B2 robots using NVIDIA Jetson Orin and Jetson Thor compute. Current areas of focus include navigation, learned policies, vision-language-action models, and robotics data.
What you will do
- Develop, train, adapt, and evaluate models for navigation, perception, planning, and robot behavior.
- Apply suitable methods such as imitation learning, reinforcement learning, or vision-language-action approaches.
- Build data collection and evaluation pipelines using real-world and simulated robotics data.
- Integrate models with robotics software, sensors, actuators, and control systems.
- Test on physical robots, measuring task success, sim-to-real performance, on-device latency, and failure modes.
- Work with ML, Engineering, robotics specialists, and Product to improve reliability and move prototypes toward repeatable deployment.
What you will need
- 3+ years of relevant ML or robotics engineering experience, or equivalent impact taking research into real-world systems.
- Hands-on experience developing and evaluating ML-enabled systems on physical robots.
- Strong Python and production software engineering skills, including experience with ROS or a comparable robotics framework.
- A strong ML background in robot learning, perception, imitation learning, reinforcement learning, multimodal models, or a related area.
- Experience with robotics data, simulation, experiment design, and evaluation on real hardware.
- Practical understanding of sensors, actuators, control loops, latency, and hardware debugging.
Nice to have
- Vision-language-action models, multimodal foundation models, or generative world models.
- Experience with humanoids, mobile or dexterous manipulation, or other complex robotic platforms.
- Sim-to-real transfer, teleoperation, human demonstration data, or large-scale robotics data collection.
- C++, low-level control, tactile or force sensing, or real-time systems.
What is there for you
- Compensation: Competitive package aligned with talent benchmarks.
- Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications.
- AI-native environment: Real challenges across model development, evaluation, and production AI systems.
- Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.
Location: Athens
Workplace: Remote
About the company:
KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe.
About the role
We are looking for an ML Engineer to improve the agent and long-context LLM capabilities behind Kiefer Tech’s AI products. You will work hands-on across post-training, data, evaluation, agent design, and inference, with the goal of making multi-step tasks more reliable in production.
What you will do
- Run post-training experiments using supervised fine-tuning, preference optimization, reinforcement learning, or other suitable methods.
- Improve how agents plan, use tools, manage execution, and recover from errors.
- Build benchmarks, verifiers, and diagnostic tools to measure agent performance and identify failures.
- Generate and curate training data, including agent trajectories and difficult cases from target workflows.
- Evaluate and improve long-context behavior, memory and retrieval interactions, and reliability over multi-step tasks.
- Work with ML, Product, and Engineering to improve inference and bring successful experiments into production with clear regression checks.
What you will need
- 3+ years of relevant ML or research engineering experience, with clear technical ownership and measurable results.
- Hands-on LLM post-training experience in at least one area: supervised fine-tuning, preference optimization, reinforcement learning, or a comparable method.
- Experience building agent systems involving tool use, multi-step execution, and error recovery.
- Strong skills in model and agent evaluation, failure analysis, and the creation or curation of training data.
- Strong Python, hands-on experience with PyTorch, JAX, TensorFlow, or a similar framework, and solid software engineering skills.
- Experience improving or deploying model-backed systems, with an understanding of LLM inference performance and cost.
Nice to have
- Reward modeling or verifier-based training.
- Long-context training, memory systems, retrieval, or context compression.
- Distributed training or high-performance LLM serving.
- Experience delivering agents for complex enterprise, coding, or research workflows.
What is there for you
- Compensation: Competitive package aligned with talent benchmarks.
- Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications.
- AI-native environment: Real challenges across model development, evaluation, and production AI systems.
- Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.
Location: Poland
Workplace: Remote
About the company:
KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe.
About the role
We are looking for an ML Engineer to improve how our language models work for Polish users. You will measure quality on real product tasks, build Polish-language data and evaluations, and improve models where the results show gaps.
Your work will help us understand which Polish-language use cases are ready for launch. The methods you build should also be useful as we expand to other languages.
What you will do
- Define priority Polish-language use cases and quality targets with Product and go-to-market teams.
- Measure current model quality in Polish and investigate errors in language use, terminology, and user tasks.
- Build Polish-language datasets and evaluations, using native-speaker review where needed.
- Improve model quality through better data, fine-tuning, post-training, or other adaptation methods.
- Set up regression tests, quality checks, and monitoring for Polish-language model updates.
- Use evaluation results and market feedback to identify remaining gaps and recommend next steps.
What you will need
- 3+ years of hands-on ML or NLP engineering experience, including work on a non-English or multilingual system in production.
- Strong Python skills and experience with PyTorch, JAX, TensorFlow, or a similar ML framework.
- Experience building evaluations that reflect real user tasks and combine automatic metrics with human review.
- Experience preparing and checking language datasets and building reliable data pipelines.
- Hands-on experience fine-tuning, post-training, or adapting NLP or LLM models and measuring the results.
- Strong software engineering and production ML skills, including model versioning, regression testing, and monitoring.
Nice to have
- Professional working proficiency or native-level fluency in Polish.
- Experience improving an AI or NLP product for a new language or market.
- Research or open-source work in multilingual NLP or model evaluation.
What is there for you
- Compensation: Competitive package aligned with talent benchmarks.
- Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications.
- AI-native environment: Real challenges across model development, evaluation, and production AI systems.
- Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.
Location: France
ClickHouse is on a mission to grow a vibrant global user community and accelerate our journey as a cloud first company. We’re looking for a seasoned Strategic Account Executive to help expand our customer base and shape the future of ClickHouse adoption in the region.
Our ideal candidate brings both business acumen and technical depth, capable of guiding customers with specialized expertise to help them achieve their objectives and unlock the full value of ClickHouse.
WHAT YOU’LL BE DOING
- Identify and nurture opportunities, build pipeline, and close short term Cloud monthly contracts, while simultaneously developing a Strategic business with complex sales cycles.
- Evangelize ClickHouse’s vision and solutions to secure strategic commercial commitments.
- Take a solution-based approach to selling, delivering clear business value for customers.
- Champion the innovation behind ClickHouse Cloud, driving awareness and adoption.
- Manage customer details, including use cases, timelines, and forecasting, within Salesforce.
- Deliver accurate monthly business forecasts.
- Contribute to the ClickHouse ecosystem by engaging in local developer meetups and helping organize ClickHouse specific community events.
WHAT YOU BRING
- Proven ability to manage cross functional resources — from dedicated teams to executive staff, to drive successful outcomes.
- Expertise aligning cloud solutions with customer business needs, challenges, and technical requirements.
- 7+ yrs of experience in open source software business models preferred; strong background in cloud and infrastructure software required.
- Passion for building long-lasting customer relationships and working cross-functionally in a diverse, global team.
- Excellent communication, negotiation, and presentation skills, with strong business and technical acumen.
BONUS POINTS FOR
- Entrepreneurial mindset with a proven record of delivering results in fast moving environments.
- Experience working effectively in a remote-first, global organization.
- Prior success selling databases or deploying applications with major cloud providers.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: USA (Remote); Canada (Remote)
Workplace: Remote
Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value.
Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact.
THE ROLE
We’re hiring an Enterprise Sales Lead to define and build the commercial opportunity for our emerging agentic products. You’ll identify where this technology solves meaningful customer problems, build relationships with enterprise buyers, and turn early interest into commercial deployments.
This role combines hands-on enterprise selling with product and GTM development. Working closely with our CTO, product, and engineering teams, you’ll help determine what we sell, who we sell it to, and how we package it. You should be comfortable taking an emerging capability to customers, learning quickly, and helping shape the offering as you build the business.
We’re building this effort with a small, focused team that works directly with customers, prototypes quickly, and turns promising technology into products people will use. Joining this team means helping define a new product category, its customer experience, and the business around it. You’ll have the opportunity to shape how businesses participate in the agent economy and bring that vision to market.
WHAT YOU’LL DO
- Develop the enterprise sales and GTM strategy for our agentic products, identifying priority industries, buyers, use cases, and routes to market.
- Bring an established network of enterprise relationships and build new connections with decision-makers across commerce, services, and/or relevant regulated industries.
- Own the sales process from customer discovery and qualification through pilots, negotiation, and commercial agreements.
- Work directly with prospective customers to understand their workflows, business priorities, and requirements for deploying AI agents.
- Partner with product and engineering to translate customer needs into product requirements, demonstrations, and commercially compelling offerings.
- Help define positioning, packaging, pricing, and pilot structures, testing assumptions through customer conversations and actual deals.
- Build a repeatable approach to moving customers from early experimentation into production and broader adoption.
- Establish pipeline discipline, communicate market feedback, and help the team prioritize opportunities with the strongest commercial potential.
WHAT YOU’LL BRING
- 12+ years of Enterprise Sales experience, with a track record of closing complex agreements and building trusted executive relationships.
- Meaningful startup experience, including building a new sales motion, launching an offering, or winning early enterprise customers.
- An established network of buyers in enterprise commerce, retail, services, or regulated industries.
- Experience selling technical products and translating emerging technology into clear business value.
- Direct involvement in shaping product positioning, packaging, pricing, or GTM strategy alongside product and engineering teams.
- Strong customer discovery skills and the judgment to distinguish a repeatable market opportunity from a one-off request.
- A hands-on approach: you’re comfortable prospecting, running discovery, developing proposals, and closing deals yourself.
- Comfort with ambiguity, rapid iteration, and a product that will evolve through customer engagement.
NICE TO HAVE
- Experience selling AI agents, commerce platforms, payments, trust and security products, or enterprise workflow software.
- Familiarity with customer journeys such as shopping, returns and refunds, reservations, ticketing, or insurance servicing.
- Experience navigating enterprise procurement, security reviews, and requirements for controlled or regulated workflows.
Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information.
Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers.
To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!
Location: San Francisco, CA
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
Anthropic is seeking an experienced Corporate Development professional to drive key strategic initiatives, including sourcing and executing acquisitions and strategic partnerships. In this role, you will partner directly with key members of Anthropic's leadership team to shape our growth strategy and help build the ecosystem around safe, beneficial AI, grounded in Anthropic’s strategic priorities. As a critical strategic partner, you'll identify opportunities for expansion, lead complex transactions, and ensure successful integration of new capabilities into our organization.
The ideal candidate brings a unique combination of strategic thinking, technical understanding, and execution capability. You're passionate about AI safety and Anthropic's mission to create AI systems that are helpful, harmless, and honest. You thrive in ambiguous environments and can navigate complex negotiations while maintaining strong relationships across multiple stakeholders.
Key responsibilities
Help shape the corporate development function, establishing best practices across the full spectrum of transactions from acquihires to transformational acquisitions
Partner closely with cross-functional product, engineering, and research teams to understand and assess the technical and strategic value of potential opportunities
Lead end-to-end transaction processes, from initial sourcing through due diligence, negotiation, and integration
Create streamlined processes for rapid evaluation and execution of technical talent acquisitions
Build and maintain relationships with entrepreneurs, venture capitalists, and strategic partners in the AI ecosystem
Conduct comprehensive market analysis to identify emerging trends, competitive dynamics, and growth opportunities in AI and related technologies
Structure and negotiate complex deals, working closely with legal, finance, and other cross-functional teams
Drive post-transaction integration efforts, ensuring successful realization of strategic objectives
Develop financial models and valuation analyses to support investment decisions
Present strategic recommendations to executive leadership and board members
Support the growth of Anthropic's partnership ecosystem, including relationships with cloud providers and enterprise customers
Minimum qualifications
Possess strong technical understanding through either work experience (as a software engineer, product manager, or investor) or educational background (Computer Science degree or equivalent)
Demonstrate exceptional analytical and financial modeling skills
Have experience leading complex M&A transactions or strategic partnerships in technology sectors
Excel at building relationships and can effectively engage with technical and business stakeholders
Are comfortable operating in fast-paced, ambiguous environments with competing priorities
Possess outstanding communication skills, both written and verbal, with ability to influence at all levels
Have a deep interest in AI safety and alignment with Anthropic's mission
Preferred qualifications
Have 12+ years of corporate development experience, with demonstrated success building or significantly scaling corp dev functions at high-growth technology companies
Have direct experience in AI/ML companies or deep learning research environments
Bring an established network within the AI startup ecosystem and venture capital community
Have led post-merger integration efforts or built new business units from the ground up
Possess an MBA or advanced technical degree
Have experience negotiating complex strategic partnerships with major technology companies
Demonstrate a track record of identifying and executing transformational opportunities
Show experience with international expansion or cross-border transactions
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:
$1
—
$2 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: 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
Anthropic’s mission is to ensure that the world safely makes the transition through transformative AI. Security is one of the clearest places where that mission plays out: the same capabilities that help attackers move faster can help defenders move faster too, and helping them use those capabilities safely and well is what this team is for. Security teams are among the earliest and most demanding users of frontier AI. They use Claude to review code at scale, find vulnerabilities before attackers do, and work through alert queues their analysts can’t keep up with. Anthropic’s Applied AI organization is building a dedicated Security team to help them do this well, and we are looking for its first leader.
You will build this team from zero. You’ll decide which security customers the team serves first, who you hire and in what order, and how the team works with Sales, Applied AI Engineering, and our security, legal, and trust partners. You’ll also stay hands-on with a few of our most important security customers, because what you learn in those accounts becomes the playbook for everyone else. You’ll also set the standard for how security customers use Claude responsibly, including where a person has to review the output before anyone acts on it.
What you’ll do
Hire, onboard, and develop the first Applied AI Architects on the Security team. Coach senior and early-career architects differently, and give each one clear goals.
Decide where the team spends its time: which segments and account types come first, which deals get architect coverage, and how to say no clearly when demand outruns headcount.
Partner with security account executives on joint account plans, regular pipeline and forecast reviews, and deals where the customer’s security review sets the close date.
Guide customers from discovery through evaluations and proofs of concept with written success criteria. Then take them from one-time code scans to sustained workloads: application security in the development lifecycle, continuous automated penetration testing, alert triage and investigation, and vulnerability and threat intelligence.
Work alongside the security ISVs, systems integrators, and managed security providers already in our customers’ accounts. Keep a clear line between what Anthropic delivers and what partners deliver.
Bring in Applied AI Engineers and our security, legal, and trust teams when a customer’s build or review needs them.
Write the first security playbooks, reference implementations, and evaluation approaches. Bring what you learn back to Product, Engineering, and Research, so Claude becomes more useful and more trustworthy for defenders at the same time.
Carry a small number of strategic security accounts yourself, from executive briefings with CISOs to hands-on workshops with their engineers.
You may be a good fit if you
Have 12+ years of industry experience with at least 4 years managing a team of customer-facing technical people, such as solutions architects, sales engineers, or security consultants, and can show how the team grew and performed under you.
Have hands-on security depth in at least one area, such as application security, detection and response, offensive security, or vulnerability management, deep enough that practitioners trust your judgment
. Application security experience highly preferred.
Have used LLMs for real security work, such as code review, vulnerability discovery, triage, or investigation, and can say where they helped and where they failed.
Have worked large enterprise security deals end to end, including customer security reviews, in close partnership with sales.
Care about making AI both safe and useful for defenders, and can explain security risk and value to a CISO and to the engineers who will run the work, in terms each one cares about.
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:
$1
—
$2 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: Bogotá, Colombia
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
We're looking for a high-energy, AI-native Client Partner to own Connect portfolio in Colombia & CAM, connecting top advertisers and agencies specially with Google and LinkedIn and offline media all over the world.
The Client Partner is responsible for training, promoting, presenting and driving product sales through live consumer engagement. The ideal candidate is charismatic, ambitious, connecting top advertisers and agencies with the digital and offline media ecosystem.
Markets to be develop: Colombia and CAM.
Main responsibilities:
Drive revenue through new client acquisition, renewals, and upsell opportunities — leveraging AI and automation tools to multiply pipeline capacity and annual planning based on the markets opportunities.
Weekly sales reporting and analysis: opportunities, risks, status.
Reports and analysis for upper management related to delivery, attainment, pacing, growth, coverage, efficiency and opportunities in each country.
Work directly with the operation team and all other areas within the company (Finance, Sales ops, Sales Administration, etc).
Positively represent the company within the marketSearch for costumer satisfaction, both from agencies and direct clients.
Skills required:
Energetic, goal oriented and outgoing
Strong communication skills and highly organised
Strong understanding of the digital advertising industry, including knowledge of the technology, major companies, and research
Ability to leverage data and analytics to influence social marketing activity and strategy
Aptitude, creativity and a preference for working in collaborative teams and across business units
Close relationships with decision makers in the market
Comfortable operating in a highly dynamic environment
Skills required:
Energetic, goal oriented and outgoing
Strong communication skills and highly organised
Strong understanding of the digital advertising industry, including knowledge of the technology, major companies, and research
Ability to leverage data and analytics to influence social marketing activity and strategy
Aptitude, creativity and a preference for working in collaborative teams and across business units
Close relationships with decision makers in the market
Comfortable operating in a highly dynamic environment
Education
Languages: Full professional proficiency in Spanish and English.
Education: BA/BS in Business, Marketing, or related field.
Experience: 4+ years in sales and account management within digital advertising platforms, media agencies.
AI fluency: Proven track record adopting AI/productivity tools to automate routine tasks and scale sales operations.
Deep understanding of digital ad metrics and campaign optimization on premium platforms.
Excellent consultative communication skills, able to influence multiple levels of stakeholders.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: USA (Remote); Canada (Remote)
Workplace: Remote
Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value.
Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact.
Mysten Labs is looking for a hands-on Security Engineer with strong application security fundamentals and a track record of finding and fixing real vulnerabilities. You’ll own bug bounty programs and external audits, secure our code and software supply chain, and build tooling that protects Mysten’s products and users across the Sui ecosystem.
Responsibilities
- Run Mysten's bug bounty programs: triage, severity, responses, internal escalations, fix validation, and the budget and payouts. Turn recurring report classes into automated checks.
- Own audit engagements: scope and schedule external audits, act as the technical counterpart during the engagement, and track findings through remediation and fix validation.
- Conduct code and design reviews of systems built by Mysten, its subsidiaries and partners (Rust, TypeScript, Move). Drive issues to conclusion, including investigation and incident response, and run variant analysis so each bug class is closed everywhere it occurs.
- Own software supply chain security: dependency and CI/CD malware defenses, Endor Labs, the code security service (GitHub controls, merge bots), and the ongoing code security self-auditing service. Detect and respond to compromised packages, maintainers and build pipelines, and secure the provenance and signing of what Mysten ships.
- Build and improve anti-scam and anti-abuse tooling for the Sui ecosystem: detect phishing sites, malicious dApps, drainer contracts and other threats that target Sui users, and work with wallet teams on mitigations.
- Build security tooling: LLM-driven triage and review agents, and static and dynamic analysis (taint, call graphs, fuzzing) wired into CI and code review. Build in known-clean checks so people trust the results.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 3+ years of hands-on experience in security engineering, application security or product security, with a track record of finding real vulnerabilities (bug bounty reports, audit findings, CVEs or published research).
- Strong Web2 security fundamentals: XSS, CSRF, SSRF, authorization flaws, injection, deserialization, software supply chain failures, cryptographic failures.
- Proficiency in one or more of Rust, TypeScript, Python or Move, and experience reviewing and writing security-sensitive code.
- Hands-on knowledge of software supply chain attack surface: package ecosystems (npm, crates.io http://crates.io, PyPI), CI/CD (GitHub Actions workflow injection, token exposure, unpinned actions), and build provenance.
- Solid understanding of applied cryptography fundamentals and the common ways cryptographic systems are misused in practice.
- Experience on either side of a bug bounty program or an audit engagement.
- Strong written and verbal communication, including the ability to influence teams you have no formal authority over.
- Interest in the web3 space is required.
PREFERRED QUALIFICATIONS
- Smart contract or wallet security: Move, Solidity or Rust-based chains; Sui's object and capability model is a plus.
- Static or dynamic program analysis: CodeQL, Semgrep, taint analysis, fuzzing, symbolic execution.
- Experience building security tooling with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling has to do the work.
- Anti-phishing, anti-fraud or trust & safety experience: domain and content monitoring, crawling, classifiers, threat intelligence.
- Knowledge of recent crypto incidents and the defect classes behind them: drainer kits, DeFi frontend compromises, package-registry compromises.
- Notable bug bounty rankings, CVEs, publications or conference talks.
Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information.
Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers.
To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!
Location: Remote (United States | Canada)
Workplace: Remote
1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing.
About 1Password
At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work.
If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future.
We’re hiring an Intermediate Frontend Developer to join our Device Security team. 1Password helps people use technology safely, and our Device Security initiative is expanding that mission to the devices where work happens. As a mid-level Developer, you’ll help build administrative experiences such as device compliance dashboards and policy configuration tools while contributing to a new product initiative from the ground up. You’ll work closely with Engineering, Product, Design, and infrastructure partners to make complex security information easier for enterprise administrators to understand and act on.
How we’re using AI today
Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers.
This is a remote opportunity within Canada and the US.
What we're looking for:
- You have 2+ years of experience in software development, including building web experiences with React and TypeScript.
- You have experience developing clear, maintainable frontend components and interfaces for complex product requirements.
- You have worked on products serving large user bases and understand how frontend decisions can affect scalability, performance, and optimization.
- You communicate technical concepts clearly and collaborate effectively with engineers, Product, Design, and other cross-functional partners.
- You ask thoughtful questions, reflect on what you’ve learned, and use challenges and mistakes as opportunities to improve your technical judgment.
- You’re comfortable using artificial intelligence (AI)-assisted development tools thoughtfully and understand their capabilities and limitations.
Bonus points for:
- Experience with Rust or Go, full-stack development with a frontend focus, composable design system components, or security, administration, or device management products.
What you can expect:
- Build and maintain administrative interfaces for enterprise customers, including device compliance dashboards and policy configuration tools.
- Develop intuitive experiences that help administrators understand device security posture, identify risks, and take action.
- Contribute to a new Device Security initiative that is still being shaped, with opportunities to influence product direction and technical solutions.
- Initially contribute to client-side work in related product areas before transitioning more fully to Device Security as the initiative develops.
- Collaborate with experienced engineers and cross-functional partners through planning, technical discussions, code reviews, testing, and documentation.
- Grow your technical judgment and ownership through mentorship, knowledge sharing, pair programming, and feedback.
USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs.
At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set.
This posting is for an existing vacancy.
Our culture
At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first.
You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results.
How we work with AI
We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.
This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others.
Our approach to remote work
We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events.
What we offer
We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer:
Health and wellbeing
👶 Maternity and parental leave top-up programs
🩺 Competitive health benefits
🏝 Generous PTO policy
Growth and future
📈 RSU program for most employees
💸 Retirement matching program
🔑 Free 1Password account
Community
🤝 Paid volunteer days
🏆 Peer-to-peer recognition through Bonusly
🌎 Remote-first work environment
*Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting.
You belong here.
1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love.
Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs.
Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you.
Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law.
1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.
Location: San Francisco, CA or 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.
_______________________________________________________________________
ABOUT THE ROLE
Docker helps developers build, share, and run software with confidence. As AI agents take on more of the development workflow, we’re extending that mission: giving developers the freedom to work with powerful agents in sandboxed environments, with the isolation and controls organizations need to adopt them safely.
We’re looking for a Product Manager, AI Gateway to help make secure model access a seamless part of that experience. Sandboxes establish boundaries around where agents execute; the gateway addresses how those agents connect to AI models. You’ll shape experiences that make it easy to get started while giving organizations control over model access, credentials, sensitive data, and usage.
This role is about making safety and developer productivity reinforce each other. You’ll partner closely with the Sandboxes team, engineering, design, and customers to turn complex infrastructure and security requirements into intuitive workflows, from a developer’s first sandboxed agent session to organization-wide adoption. You’ll own the gateway’s product direction, balancing choice and interoperability with governance, reliability, and cost.
WHAT YOU’LL DO
- Own product strategy and prioritization. Define the vision, roadmap, and success measures for the gateway, balancing developer adoption with enterprise requirements.
- Understand developers and enterprise customers. Work directly with developers, AI teams, platform engineers, and security stakeholders to uncover needs, validate solutions, and guide investment.
- Make secure onboarding simple. Improve the journey from launching a sandbox and authenticating to connecting an agent, selecting a model, and completing the first useful task.
- Build a cohesive developer experience. Partner with engineering and design on APIs, CLI tools, administration experiences, documentation, and integrations with AI coding tools.
- Shape model access and interoperability. Work directly with inference providers to evaluate model capabilities, plan integrations, and align on capacity, reliability, and pricing. Prioritize model discovery and compatibility so customers can adopt new models without unnecessary integration work.
- Define enterprise safety and governance experiences. Translate requirements for identity, access management, credential protection, policy enforcement, and auditability into clear, usable capabilities.
- Guide reliability and cost-management decisions. Define traffic balancing, routing, and fallback strategies across multiple inference providers, balancing model quality, latency, availability, and cost. Own inference cost-management priorities, including usage visibility, budgets, and spend optimization.
- Drive execution and launches. Write focused product requirements, make explicit tradeoffs, and partner with customer-facing teams on positioning, onboarding, release readiness, and continuous learning.
QUALIFICATIONS
- 10+ years of product management experience, with experience building developer tools, infrastructure, security, or platform products.
- Demonstrated success taking a product from concept to launch, including validating customer demand, defining the initial scope, and driving adoption after release.
- Strong technical background, through software engineering experience or ownership of deeply technical products. You can evaluate API designs, understand system architecture, and make informed tradeoffs with engineering.
- Hands-on experience with AI tools and agent workflows, and an informed perspective on the challenges of giving agents secure access to models, tools, and data.
- Strong product judgment and analytical skills, with examples of using customer research and product data to prioritize investments and measure results.
- Excellent written communication and cross-functional leadership, with a track record of aligning engineering, design, and go-to-market teams around a clear strategy and delivering in ambiguous, fast-moving environments.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
United States: $280,000 – $300,000 + 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, 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
Platform Safety builds the infrastructure that lets Anthropic bring its most capable models to more people, safely and securely. Our systems decide both who can access our most advanced models, and what capabilities they can access, wherever Claude is available. That includes identity and business verification, trusted access programs, and the core services that grant, hold and enforce model access across our products. These systems already power the Cyber Verification Program, which now includes Project Glasswing, and the Life Sciences Verification Program with further more advanced use cases in development.
As a Staff+ engineer, you'll help set the technical direction for this work. The foundations are live and adoption is growing quickly, so the next challenge is scale: making access a matter of configuration instead of code, making verification reusable, and giving customers a consistent experience on every surface. You'll work closely with safeguards, product, design and research to turn safety policy into systems that are easy to use and enforce. You'll also take new 0 → 1 efforts from idea to delivery as new capabilities and programs emerge.
What you'll do
You'll design, build and operate the systems that decide who gets access to our most capable models. You'll build the platform that lets teams across Anthropic launch and run trusted access programs, moving access rules out of code and into data so that launching a new model or complex program is simple and scalable. You'll build out our identity and business verification system (KYC/KYB) as a reusable service that any program can use, which means integrating verification vendors, protecting sensitive personal data, expanding into new regions, and building fair review and appeal paths for customers. You'll also evolve the core services behind every access decision, including the services that grant and hold access and the customer and user identity models they rely on, and keep them highly available and consistent across our own products and cloud platforms.
You'll shape the architecture through clear written proposals, review key designs, and mentor engineers on a growing team. You'll also share on-call, lead incident response, and support emerging new programs.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer, ideally at tech lead level or equivalent, and are comfortable working across the stack when the problem calls for it
Have strong product sense, and work closely with cross-functional partners, including non-engineers, to shape and execute strategy in new domains
Use AI tools as a regular part of how you design, build and review software
Have designed and operated production distributed systems on a critical path, where correctness, latency and availability all matter
Take full ownership of your work, from design through build, deployment, operations and iteration
Navigate ambiguity and make sound technical decisions independently, have set technical direction that other engineers and teams adopted, and have ideally operated in both 0 → 1 and more mature settings
Care about building robust, scalable systems that other engineers and businesses love to use
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI
Strong candidates may also have:
Identity, access control or authorization systems at scale
Fraud, risk, trust and safety, or KYC/KYB systems, including working with verification vendors
Regulated or compliance-sensitive environments, including handling sensitive personal data
Integrating with cloud platforms or partner ecosystems such as AWS, Google Cloud and Azure
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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:
$405,000
—
$485,000 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: Remote Ireland; Remote, France; Remote, Germany; Remote, Israel; Remote, Netherlands; Remote, Spain; Remote, United Kingdom
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 the Corporate Development Director, you'll help influence how GitLab invests to win: what we build, what we buy, where we partner, and what we should not pursue. This role sits within the Corporate Development & Strategic Partnerships team, reporting to the VP, Corporate Development & Strategic Partnerships.
This role straddles strategy and M&A engagements. You'll lead research that frames GitLab's options: mapping the markets in and around our AI-powered DevSecOps platform, testing where we have a right to win, and turning that into clear recommendations for the executive team. When the answer is to acquire, you'll drive the deal process end to end, from outreach through close and integration.
Success here is not measured by deal count. It looks like sharper strategic choices: a well-reasoned point of view on our priority markets, investment theses that product and executive leaders rely on, acquisitions that speed up the roadmap when buying is the right answer, and an educated no when it isn't. You'll own the wider market perspective rather than individual product categories, and work with the team's Analyst on the research behind it.
What you'll do
Strategy and research
Own the wider market view.
Research the broader market GitLab competes in, beyond specific product categories: competitive dynamics, AI-native entrants, technology shifts and where value is moving. Collaborate with the team's Analyst on the research and turn the findings into a clear point of view on where GitLab should play.
Build an investment thesis for each focus area.
Work with Product and Engineering leaders to define the problems worth solving, the capabilities GitLab needs, and what it would cost in time and money to get there on our own.
Own the competitive and landscape view.
Maintain market maps and a current read on GitLab's competitors: their strategy, product direction, positioning, pricing, and M&A and funding activity. Produce competitor analyses that show where we lead, where we're exposed and how rivals are likely to move. Flag shifts by competitors, hyperscalers and AI labs that change our options, and bring the implications to Product and the executive team.
Define where GitLab should not play.
Identify adjacencies that dilute focus and markets where the economics or competition work against us. Make the case for a no with the same rigor as a yes.
Build, buy or partner
Run the build, buy, partner analysis.
For each strategic gap, compare the options side by side on speed, cost, risk, control and strategic fit, and bring a clear recommendation.
Deliver strategic clarity to
executives and the Board.
Produce short strategy memos/decks and business cases that set out the decision, the trade-offs and what we give up with each path.
Feed company strategy and planning.
Bring an outside-in view of the market and the inorganic options available into annual and long-range planning.
Work hand in hand with Strategic Partnerships.
When partnering is the right answer, frame the opportunity and hand it to the partnership owner with a clear thesis. When it isn't, explain why.
Deal execution and integration
Own end-to-end deal process management.
Validate target fit against GitLab's our target profile, product roadmap and other criteria, and build the acquisition rationale and business case. Drive our M&A process from intro call through the various steps through to closing and integration.
Evaluate the deal.
Develop valuation, commercial integrity assessment, impact on GitLab's business and provide negotiations assistance to the VP and the executive team.
Lead cross-functional diligence.
Run pre-LOI validation and diligence across Product, Engineering, Security, Finance, Legal and People, and communicate findings clearly.
Drive deal documents with Legal.
Prepare NDAs, LOIs and purchase agreements with GitLab Legal and outside counsel.
Own integration outcomes.
Lead post-acquisition integration as the DRI, measured against the roadmap and business goals in the business case. Bring lessons learned back into the strategy work.
Build the external network.
Maintain relationships with founders, executives, investors, bankers and advisors that bring us early insight and pipeline.
What you'll bring
Strategy and deal experience.
8+ years across corporate development, corporate strategy, strategy consulting or technology investing, including 5+ years leading acquisitions end to end in enterprise software.
Structured strategic thinking.
You form a point of view from incomplete information, test it against data, and change your mind when the evidence says so. You're as comfortable recommending that we stay out of a market as that we enter it.
Market research depth.
Skilled in market sizing, competitive analysis and landscape mapping, and in turning research into a recommendation, not a report.
Deal craft.
Skilled in valuation, financial modeling, deal structuring, negotiation and integration planning, with experience across varied consideration structures.
Technical fluency.
A working understanding of software development, DevSecOps and the AI landscape, enough to hold substantive conversations with product and engineering leaders about roadmaps and architecture.
Clear executive communication.
You write short, decision-ready updates and present trade-offs plainly to executives and the Board, in an async-first environment.
Influence without authority.
You build trust across Product, Engineering, Finance and Legal and move decisions forward across functions.
Ownership with collaboration.
You own the strategic view and the recommendation, and partner closely with the team's Analyst on research and analysis.
Preferred:
familiarity with the DevSecOps, security, AI and open source ecosystems.
You value the
all remote
lifestyle and share our
values
.
About the team
The Corporate Development & Strategic Partnerships team helps GitLab decide how to grow beyond what we build on our own. We own inorganic strategy: acquisitions, strategic partnerships with hyperscalers and AI labs, and the research that tells us which to pursue and which to pass on.
We work across Product, Engineering, Finance, Legal and the executive group. We set direction and do the detailed work ourselves, with a high degree of ownership and transparency in a fully remote, asynchronous environment.
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
.
ОфисleadГеография найма не уточнена
УдалённоColombia; Argentina; Brazil; Comfortable working US hours (CST/EST time zone) – required for live calls
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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