Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country/regional-specific analysis
Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on:
Labor markets and the future of work
Productivity and task transformation
Economic inequality and displacement
Industry-specific disruption and adaptation
Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning
Demonstrated experience working in and relevant relationships across the region
Experience relevant to the study of AI’s impact on the economy, including:
Labor market analysis and occupational change
Task-based approaches to technological transformation
Large-scale data analysis and econometric methods
Large language models for social science research
Policy-relevant economic research
Experimental and quasi-experimental methods for causal inference
Macroeconomic modeling and time series forecasting
Agent-based modeling or large-scale simulation
Technical skills including:
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead complex research projects from conception to publication
Communicate technical findings to diverse audiences
Build relationships across academic, policy, and industry communities
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional information
For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
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: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country/regional-specific analysis
Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on:
Labor markets and the future of work
Productivity and task transformation
Economic inequality and displacement
Industry-specific disruption and adaptation
Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning
Demonstrated experience working in and relevant relationships across the region
Experience relevant to the study of AI’s impact on the economy, including:
Labor market analysis and occupational change
Task-based approaches to technological transformation
Large-scale data analysis and econometric methods
Large language models for social science research
Policy-relevant economic research
Experimental and quasi-experimental methods for causal inference
Macroeconomic modeling and time series forecasting
Agent-based modeling or large-scale simulation
Technical skills including:
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead complex research projects from conception to publication
Communicate technical findings to diverse audiences
Build relationships across academic, policy, and industry communities
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional Information
For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
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:
£195,000
—
£245,000 GBP
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: Los Angeles, United States
Workplace: remote
Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling.
DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally.
We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys.
If this excites you more than it scares you, you are in the right place.
The Role
We’re looking for a Creator Retention & Relationship Manager to own the post-acquisition lifecycle of immersive
content creators across US and EU markets. This role is focused on ensuring creators successfully onboard, stay active, grow their audience, and evolve into long-term partners and advocates of the DeoVR ecosystem.
This is not just about managing relationships - it is about building a scalable creator success system that drives retention, engagement, and creator-led growth across the platform.
What You Will Do
Guide creators from onboarding to first upload, first payout, and full activation on the platform
Build and optimize onboarding flows, educational materials, FAQs, and live support touchpoints
Own creator retention metrics (D30 / D90 / D180) and proactively manage lifecycle health
Identify at-risk or inactive creators and run structured reactivation and win-back campaigns
Act as the primary contact for creators, especially premium and high-potential partners
Run regular 1:1s, check-ins, and structured growth reviews with creators
Design and execute co-marketing campaigns with creators across US and EU markets
Build and scale a Creator Ambassador Program and support creator-led growth initiatives
Develop and maintain an active creator community space to drive engagement and advocacy
Collect and synthesize creator feedback and bring insights to Product, Content, and Leadership teams
Collaborate cross-functionally with Acquisition, Product, Marketing, Finance, and Content Review teams to improve end-to-end creator experience
What We Are Looking For
Relevant experience in creator economy, content platforms, social media, or digital media ecosystems
Experience in creator partnerships, community management, customer success, or lifecycle and retention-focused roles
Strong analytical mindset with ability to work with retention, engagement, and growth metrics
Ability to structure processes and operate effectively in fast-moving, high-ambiguity environments
Strong communication skills with the ability to build trust and long-term relationships with creators globally
Fluency in English (B2 and above)
Bonus Points
Experience with VR, immersive media, or 3D/video platforms
Experience building creator programs, ambassador systems, or community ecosystems
Experience working across multiple markets (US, EU, Asia)
What Success Looks Like
In 30 days:
You’ve spoken with every active premium creator. You’ve shipped the first version of the creator onboarding handbook.
In 90 days:
D30 creator retention has measurably improved. The creator community space is active and used regularly. You’ve launched your first co-marketing campaign with at least 5 creators participating in joint promotion. You’ve also resolved at least 3 key creator experience or process pain points.
In 6 months:
Creators see DeoVR as a platform that invests in them, not just a distribution channel
Premium creator count and per-creator activity are both growing
Creator-led external exposure (social mentions, referral videos, UGC) becomes a consistent acquisition channel
The DeoVR Creator Ambassador Program is live, with at least 10 core creators onboarded
Hiring Process
HR Screening (30 min)
Team Interview (30 min)
Case task (2-4 hours)
HM Interview (30 min)
CEO Interview (30 min)
💼
Explore our hiring process
What We Offer
Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity.
The chance to be part of a pioneering team in a rapidly evolving industry
Direct impact on the future of immersive media
Flexible working hours and remote-first culture
A team that values initiative, clarity, and collaboration
Access to all tools and tech you need
Unlimited DeoVR Premium
A work environment where ideas matter and people are treated with respect
Stay Connected
Join
our Facebook community
and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.
Join us and embrace a role where your expertise meets technological innovation!
Location: Istanbul
Workplace: onsite
The international technology company Ajax Systems opens a full-cycle production facility in Türkiye.
Ajax Systems is the largest developer and manufacturer of security systems in Europe. The back office, R&D department, and two full-cycle production facilities are located in Ukraine. The company has branch offices worldwide: UAE (Dubai), Italy, Spain, Germany, Poland, Canada, and many other regions. Ajax team has more than 2,200 employees, including 500 developers and 1,200 production workers. Attracting local expertise in each key market enables us to scale the product globally and grow fast.
Location : Istanbul/Tuzla, DESBAS
Responsibilities
Manage, direct, and assign daily tasks to storekeepers and assistants who receive, store, and release goods,
Organize loading and unloading operations in the warehouse in strict compliance with Occupational Health and Safety (OHS), industrial hygiene, and fire protection regulations,
Control the allocation of material assets (MA) in the warehouse to ensure the most rational use of space, facilitating and accelerating the identification of necessary materials to prevent dispatch delays.
Oversee the receipt of material assets (MA) into the warehouse; organize verification of the number of cargo spaces, weight, volume, integrity of contents, and completeness against accompanying documents,
Ensure the efficient processing of requests for the release, picking, and completion of shipments,
Monitor packaging quality for transportation and create procurement requests for necessary packaging materials,
Participate in developing and implementing measures to optimize warehouse management and improve overall efficiency.
Prepare, record, and process income, expenditure, production, and other warehouse documents for receiving and releasing inventory,
Ensure all original documents from suppliers, contractors, and other company departments are received and processed properly,
Check that the party receiving the inventory holds all required documents in the established form,
Prepare established periodic reports, control their accuracy, and submit them to management on time,
Participate in conducting regular inventory counts (stocktaking) and preparing relevant documents.
Bear full material responsibility for ensuring the proper storage, safety, and security of all material assets, preventing damage, theft, loss, or other incidents in the warehouse.
Qualifications
Bachelor's Degree (Preferably in Logistics, Supply Chain, or related fields),
At least 1 year of work experience
in warehouse management, stock control, or senior warehouse operations,
Proficiency in warehouse programs (1C - Accounting or similar ERP systems) and MS Office applications (especially Excel),
Good command of English and Turkish (both written and spoken),
Knowledge of electronic component base (resistors, transistors, etc.),
Strong knowledge of regulatory and methodological materials on warehouse management, standard storage conditions, packaging rules, and Occupational Health and Safety (OHS) procedures,
Advanced reporting skills and experience in professional business correspondence,
Leadership, coordination, and motivation skills to effectively manage storekeepers and storekeepers' assistants,
Strong communication skills, with the ability to remain calm, professional, and solution-oriented in conflict or crisis situations,
Ability to take initiative and make independent decisions.
Location: Remote Roles - APAC
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About this role
负责高价值客户的开发与维护,深入了解各家产品与解决方案,通过专业够听和定制化的解决方案,推动交易、资产及收入等关键指标的持续增长。该岗位高度 KPI 导向,需要强目标感、快速学习能力,同时能接受高强度出差。
Responsible for acquiring and managing high-value clients, developing a deep understanding of different products and solutions across platforms, and driving sustainable growth in trading volume, assets and revenue through professional consultation and customized solutions. This is a highly KPI-driven role that requires strong goal orientation, fast learning ability, and the ability to handle frequent business travel.
What You’ll Be Doing
开发与拓展
通过多渠道(线下拜访、行业会议、社群、转介绍等)挖掘并开发潜在高价值客户(包括但不限于专业交易者、家族办公室等)。
能够快速画像并识别高潜力目标客户,建立并维护客户线索池和跟进节奏。
客户关系管理与业绩达成
建立并维护稳固的客户关系,定期Review,了解用户交易需求、资金规模与产品需求。
对所负责客户的
资产规模、交易量、收益贡献等关键指标(KPI)负责
,按月度/季度完成业绩目标。
产品与解决方案咨询
深入理解各家主流交易平台的各产品条线(如:现货、合约、期权、Earn/理财、结构化产品等),能够为客户提供对比分析和专业建议。
收集客户需求与痛点,协同产品、运营等团队,为重点客户提供定制化解决方案。
行业洞察与学习
持续跟进行业动态、竞品策略和新产品形态,快速掌握并消化新知识,形成对客户有价值的观点与建议。
定期输出客户/市场反馈与竞品情报,为内部策略和产品迭代提供一线视角。
Client Acquisition & Expansion
Identify and acquire potential high-value clients (including but not limited to professional traders, family offices, etc.) through multiple channels such as in-person visits, industry events, communities and referrals.
Quickly profile and identify high-potential target clients, maintain a structured lead pipeline and follow-up rhythm.
Client Relationship Management & Target Delivery
Build and maintain strong, long-term relationships with clients; conduct regular reviews to understand their trading needs, capital scale and product preferences.
Take full responsibility for key KPIs of your client portfolio, including asset under management, trading volume and revenue contribution, and achieve monthly/quarterly performance targets.
Product & Solutions Advisory
Develop an in-depth understanding of major product lines on leading trading platforms (e.g. spot, perpetuals, options, Earn/wealth management, structured products, etc.) and provide professional comparison and recommendations to clients.
Gather client needs and pain points, and work with product, operations and other internal teams to deliver customized solutions for key clients.
Industry Insight & Continuous Learning
Continuously track industry trends, competitor strategies and new product types; quickly absorb new knowledge and translate it into valuable insights and suggestions for clients.
Regularly share client/market feedback and competitive intelligence to provide frontline input for internal strategy and product iteration.
What We Look For In You
至少
2 年及以上 web3 行业工作经验
,对主流交易所、钱包、托管、DeFi 等产品有实际使用或服务经验。
能够
快速识别与筛选目标客户
,具备优秀的沟通谈判技巧与关系维护能力,有高潜力客户的客户关系管对金融市场、衍生品、风险收益等有基本认知,有银行、券商、资管等金融背景者优先。客户服务和运营等相关工作经验优先;
明确的
KPI & 结果导向
,习惯用数据衡量业绩。
能接受
高强度工作节奏与频繁出差 / 拜访
。
自驱力强,抗压能力好,能够在不确定环境中找到路径并推动落地。
能够
中英文双语工作(听说读写);
本科及以上学历,
金融、经济、会计、数学、统计、计算机等相关专业优先
。
At least
2 years of work experience in the Web3 industry
, with hands-on usage or service experience related to major exchanges, wallets, custody solutions, DeFi products, etc.
Able to
quickly identify and qualify target clients
, with strong communication, negotiation and relationship-building skills. Experience in managing high-potential client relationships, client service or account operations is preferred. Basic understanding of financial markets, derivatives and risk–return; background in banking, securities or asset management is a strong plus.
Clear
KPI & result orientation
, and comfortable using data to measure and manage performance.
Comfortable with a
high-intensity work pace and frequent travel / client visits
.
Strong self-motivation and resilience, able to find paths forward and drive execution in an uncertain environment.
Able to work in
both Chinese and English (listening, speaking, reading and writing)
.
Bachelor’s degree or above; majors in Finance, Economics, Accounting, Mathematics, Statistics, Computer Science or related fields are preferred.
Perks & Benefits
Competitive total compensation package
Various team building programs and company events
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Partner Account Manager for Japan, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Japanese enterprise market. You will work at the intersection of cutting-edge technology and Japan's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies.
As a Partner Account Manager, you will focus on growing reseller business in Japan and achieving quarterly revenue targets through new customers and upsells. The position involves direct collaboration with partners and internal teams to overcome obstacles and implement growth strategies. Responsibilities include designing partner recruitment, enablement, and go-to-market plans, using a test-and-learn approach in ambiguous situations. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth.
This role is critical to establishing and expanding our presence in Japan through the partner ecosystem, enabling us to serve Japanese enterprises at scale. You will be instrumental in building our channel strategy from the ground up in one of the world's most sophisticated technology markets.
Key responsibilities
Strategic Partner Management
Develop and execute comprehensive business plans with System Integrators (NTT Data, Fujitsu, NEC, Hitachi, etc.) and key resellers to drive mutual growth and revenue targets
Build and maintain executive-level relationships within Japanese partner organizations, navigating complex organizational structures and decision-making processes
Own the full partner lifecycle from initial engagement through long-term strategic alignment, including regular business reviews and QBRs
Plan and deliver partner-facing activities, such as training sessions, email campaigns, webinars, and joint events
Negotiate and structure partnership agreements including technical integration terms, resale agreements, and revenue-sharing models
Business Development & Revenue Generation
Build and maintain relationships with reseller and distributor partners to drive new customer acquisition and upsell revenue
Collaborate with SI partners and resellers to identify, qualify, and close enterprise opportunities in key verticals (manufacturing, financial services, retail, telecommunications, life sciences)
Drive joint sales activities including customer workshops, seminars, proof-of-concepts, and strategic account planning
Track pipeline development, forecast revenue, and report on partnership performance metrics with detailed accuracy
Manage channel conflict and ensure healthy ecosystem dynamics between direct sales, SI partners, and resellers
Enablement & Solution Development
Lead comprehensive enablement programs including technical training, certification development, and sales methodology alignment
Work closely with partner practices to develop joint solutions and industry-specific offerings tailored to Japanese market requirements
Coordinate with global product and engineering teams to ensure Japanese partner requirements and customer feedback influence our roadmap
Develop and maintain Japanese-language sales tools, technical documentation, and partner portals
Facilitate knowledge transfer between Anthropic and Japanese partner technical teams
Go-to-Market Leadership
Design and execute joint marketing campaigns
Develop customer success stories and case studies that resonate with Japanese enterprise buyers
Partner with internal teams to localize global GTM strategies for the Japanese market
Represent the company at partner events, customer engagements, and industry conferences (CEATEC, Japan IT Week, etc.)
Identify and remove bottlenecks proactively by working with internal teams including Marketing, Sales, and Legal
Foster alignment across departments to ensure successful partner execution and performance
Minimum qualifications
Experience in channel management, strategic alliances, or business development within the Japanese technology market
Proven track record managing relationships with Japanese System Integrators and/or technology resellers or similar
Deep understanding of Japanese enterprise sales cycles, decision-making processes, and business etiquette
Native or business-level Japanese and English language skills
Strong understanding of the Japanese IT landscape including cloud adoption trends, digital transformation initiatives, and regulatory requirements
Demonstrated ability to navigate complex partner ecosystems and manage channel conflict
Preferred qualifications
7+ years of relevant experience
Experience with enterprise software, cloud services, or AI/ML technologies in the Japanese market
Exceptional relationship-building skills with ability to establish trust and credibility with executives
Strong analytical skills with experience in business planning, forecasting, and performance measurement
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: South Africa
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
About the company
Our client is a results-driven growth marketing agency specializing in scaling high-performance e-commerce and DTC brands. With over 30 years of combined experience and more than $500M in managed revenue, the team serves as a full-stack partner for over 150 brands globally. They specialize in high-impact strategies across paid ads, email marketing, SMS, and conversion rate optimization (CRO). By leveraging AI marketing infrastructure and robust data analytics, they move beyond cookie-cutter solutions to deliver custom, profitable growth tailored to each brand’s unique customer lifecycle.
The team operates with a "no-fluff" mindset, prioritizing radical transparency, proactive communication, and measurable revenue boosts. Known for acting as a seamless extension of their clients' internal teams, they foster a collaborative and fast-paced work environment rooted in real-world operational expertise. This is an opportunity to join a scaling firm that values proactive problem-solving and technical innovation while maintaining a deep focus on design-led, performance-driven marketing results.
Job Summary
We are seeking a high-level, "athlete-mentality" SDR to join an elite growth agency with over 7 years of experience and $500M+ in managed revenue for e-commerce partners. This isn’t a role for someone looking to just "take a course"—we are looking for a hungry, competitive sales professional who thrives on outbound hunting. You will be responsible for sourcing and booking quality calls with high-revenue e-commerce brands, working directly alongside an established closing team. If you are driven by performance and eager to move into a Closer/Account Executive role, this is your path.
Job Type:
Full-time (8:00 AM – 4:00 PM MST)
Key Responsibilities
Execute high-volume multi-channel outreach including cold calling, cold email, and DMs.
Qualified lead generation focusing on e-commerce brands doing $100K+/month in revenue.
Manage and nurture the sales pipeline within GoHighLevel to ensure no lead falls through the cracks.
Maintain a consistent output of 5–10 qualified booked calls per week.
Achieve a 70%+ show rate through diligent follow-up and lead framing.
Collaborate with the internal team to refine messaging and targeting based on market data.
Requirements
2+ years of professional sales experience
with a proven track record of hitting KPIs.
Direct background in an agency or e-commerce environment
(Must have both).
High-level fluency in English with a professional, confident verbal tonality.
Relentless "hunter" mentality; you are competitive, resilient, and motivated by high-commission environments.
Proficiency in the modern outbound stack: Cold email (Instantly/Smartlead), CRM (GHL), and Lead Sourcing (Clay/Apollo).
Ability to work 8 AM – 4 PM MST (South Africa timezone preferred).
Nice-to-Haves
Experience selling high-ticket marketing services (Email/SMS, Paid Ads, or CRO).
Advanced skills in objection handling and personalized messaging at scale.
Previous experience in a senior-level appointment setting role.
Benefits
💰 Competitive base salary
📈 Uncapped 5% commission on all closed deals (First month revenue)
🚀 Clear progression pathway to Closer/Account Executive
🌎 Fully remote work environment
🎯 Performance-based incentives with OTE
🧠 High-growth culture with a focus on ownership and autonomy
Location: South Africa
About Huzzle
At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
About the company
Our client is a premier solution provider supporting the entire electronics lifecycle through a comprehensive range of test and measurement equipment alongside specialty technical supplies. As an established North American leader, the team serves engineers and manufacturers by offering vital resources including environmental test chambers, precision soldering tools, and advanced measurement systems. By providing a diverse suite of services—from calibration and rentals to inventory management—they ensure that organizations can maintain high-volume workflows and precision performance across the technology and defense sectors.
The team fosters an innovative, solutions-oriented environment dedicated to empowering the creators of tomorrow's technology. Operating with a focus on impact and reliability, the company has grown into a massive distribution powerhouse that balances technical expertise with a customer-centric approach. Candidates joining this fast-paced organization will contribute to a legacy of technical excellence, helping to deliver essential tools and services that drive progress within the electronics and aerospace industries.
Job Summary
We are seeking a technically-minded and detail-oriented eCommerce Content Development Specialist to serve as the architect of our digital storefront. In this role, you will bridge the gap between technical development and content strategy, ensuring our online store is not just functional, but high-performing and conversion-optimized. If you are a Shopify expert who enjoys working with APIs, Liquid, and front-end technologies to solve complex integration challenges and enhance the customer journey, this is the perfect opportunity for you to make a tangible impact on a thriving B2B environment.
Key Responsibilities
Develop, manage, and optimize digital content and site architecture across the Shopify platform.
Build and customize themes using HTML, CSS, and Liquid to maintain a premium brand aesthetic.
Integrate and manage third-party applications and plugins to extend site functionality.
Connect Shopify with critical external systems (ERP, CRM, PIM, and payment gateways) via APIs.
Maintain accurate, SEO-optimized product listings to drive organic traffic and consistency.
Audit and improve site speed, mobile responsiveness, and overall usability.
Troubleshoot technical issues related to site functionality and third-party integrations.
Partner with Marketing and Sales teams to execute promotional campaigns and product launches.
Utilize data insights from site analytics to recommend and implement UX improvements.
Requirements
Proven experience in Shopify store management and theme customization.
Strong technical understanding of APIs and hands-on experience with system integrations.
Proficiency in front-end technologies including HTML, CSS, and basic JavaScript.
Working knowledge of Shopify Liquid templating language.
Demonstrated experience with Shopify apps, plugins, and third-party tool ecosystems.
Solid understanding of SEO principles and eCommerce best practices.
Analytical mindset with a proactive approach to problem-solving.
Exceptional attention to detail and the ability to manage multiple technical projects simultaneously.
Previous experience in a B2B eCommerce environment.
Knowledge of Google Analytics and data-driven optimization.
Experience specifically integrating eCommerce platforms with ERP or CRM systems.
Basic understanding of UX/UI design principles.
Benefits
🚀 Career growth and professional development opportunities
📈 Long-term stability within an industry-leading team
🎯 Impact-driven role with the ability to influence digital strategy
🤝 Collaborative and supportive work culture
🛠️ Opportunity to work with modern eCommerce technologies
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Mumbai, India; New Delhi, India
We are seeking an experienced Senior Data & AI Governance Lead to join our team in Saudi Arabia. This leadership role is critical in establishing and driving the data and AI governance frameworks across the organization to ensure ethical, compliant, and effective use of data and artificial intelligence technologies.
As the Senior Data & AI Governance Lead, you will oversee the development and implementation of governance policies, standards, and practices that ensure data quality, privacy, security, and responsible use of AI. You will collaborate closely with stakeholders across business, technology, legal, and compliance teams to embed governance principles within data and AI initiatives and to manage risks effectively.
This position offers a unique opportunity to lead in an evolving technological landscape and help organizations harness the power of data and AI while maintaining trust and compliance.
Key Responsibilities
Develop and implement data and AI governance frameworks, policies, and standards aligned with business objectives and regulatory requirements.
Lead cross-functional teams to embed governance practices in AI/ML development and data management processes.
Ensure compliance with relevant data privacy, security, and ethical standards, including KSA regulations.
Collaborate with legal and compliance teams to monitor regulatory changes and adjust governance frameworks accordingly.
Define metrics and KPIs to measure the effectiveness of data and AI governance initiatives.
Provide guidance and training to stakeholders on governance policies, ethical AI use, and data stewardship responsibilities.
Oversee risk assessment related to data and AI projects and implement mitigation strategies.
Drive continuous improvement in governance processes and keep abreast of emerging trends in data, AI, and regulatory landscapes.
Facilitate communication between technical teams, business units, and senior management regarding governance issues and compliance status.
Lead audits and reviews related to data and AI governance compliance.
Requirements
Bachelor's degree in
Computer Science
,
Information Systems
, or a related field.
5–20 years of experience in Data Governance, Data Privacy, Data Architecture, AI Governance, AI/ML, or related disciplines.
Strong understanding of data governance regulatory requirements and industry-leading data quality frameworks.
Knowledge of KSA Personal Data Protection Law (PDPL).
Experience in Governance, Risk & Compliance (GRC), Responsible AI, and AI regulations.
Hands-on experience with Informatica Suite (EDC, IDQ, Axon, MDM).
Strong knowledge of Data Governance Frameworks, Operating Models, Data Quality Management, Data Privacy, Data Architecture, and Data Modeling.
Experience in AI Governance, AI Auditing, AI Engineering, and Data Science.
CDMP certification preferred.
Data Privacy certifications preferred.
TOGAF or equivalent Architecture certification is a plus.
Location: New York City, NY; San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI — this time by driving data-informed decisions across the commercial customer lifecycle. This role sits at the intersection of fast-moving sales operations and rigorous statistical analysis. You will work across multiple segments and products, partnering with analytics engineers, fellow data scientists, and go-to-market leadership to turn complex commercial data into actionable strategy.
You will own measurement and analysis for new logo acquisition through activation, expansion, and retention for a rapidly scaling, consumption-based AI platform. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing data science function at a pivotal moment in the company's growth.
Key responsibilities
Define key metrics, build measurement frameworks, and maintain core reporting to evaluate GTM success across segments and products
Analyze commercial and user data to surface actionable insights, size opportunities, and influence roadmaps and go-to-market strategy
Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make clear, actionable recommendations
Investigate anomalies, conduct root cause analyses, and provide data-driven guidance on priorities and decisions
Build statistical models, optimization frameworks, and simulations to support and automate commercial decision-making processes
Present analyses and recommendations to both technical and non-technical stakeholders, including GTM leadership
Establish foundational data practices and help scale analytics infrastructure to support rapid product and commercial iteration
Minimum qualifications
Proficiency in Python, SQL, and data visualization tools
Expertise in experimental design, causal inference, statistical modeling, and A/B testing, particularly in high-scale technical environments
Demonstrated ability to translate complex data into clear, actionable insights for both technical and business audiences
Strong written communication and presentation skills
Ability to work effectively in fast-moving, ambiguous environments — comfortable creating structure and driving progress where neither yet exists
Preferred qualifications
5+ years of experience in data science or analytics roles
A strong track record in multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models
Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
Genuine interest in Anthropic's mission of developing safe and beneficial AI
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:
$285,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Hamburg
Workplace: Hybrid
adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Transforming 50M+ daily events into real-time actionable dashboard insights
The Dashboards team is responsible for the systems and interfaces that define our partners' daily operations. We build the campaign management APIs, analytics engines, and high-throughput tools that allow advertisers and publishers to configure, monitor, and optimize their activity on our platform.
This is not about simple CRUD interfaces, it is about building high-performance data surfaces that drive massive business decisions. Using Go, Kafka, and Druid, we process and render real-time analytics across 50+ million daily events, ensuring accuracy and complex campaign performance reporting at scale. On the frontend, we tackle genuine engineering constraints: utilizing TypeScript and React, we have moved beyond standard library limitations to build highly optimized graph-rendering with Recharts capable of visualizing datasets that would overload conventional solutions.
Your Mission & Who We Are Looking For:
- 3+ years as a Product Owner in a fast-paced environment. You have hands-on experience with agile development and a track record of taking features from concept to launch. At adjoe, you'll own the Advertiser Tools product end-to-end, managing a dedicated development team, driving the roadmap, and making strategic decisions that directly impact advertiser performance.
- High ownership, low ambiguity tolerance. You prioritize ruthlessly based on user and business needs, work independently, and make objective calls when requirements are still evolving. You've delivered at least one significant 0-to-1 product iteration and know what it takes to ship at pace without sacrificing quality.
- Bridges business and engineering naturally. You're as comfortable presenting a product roadmap to management and external partners as you are discussing technical tradeoffs with engineers. You close the gap between what the business wants and what the system can realistically deliver.
- KPI-driven team lead. You manage team progress with a strong focus on delivering measurable impact for our advertisers and create solutions that meet their goals.
- Develops the people, not just the product. You guide and grow the individuals on your team, helping them operate at their best even as requirements and priorities shift.
- Plus: AdTech background. Experience in an adtech company is a plus, not a requirement.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Location: Boston
Every great app out there deserves to be connected with the right users and the right revenue streams. And adjoe will give this to them.
adjoe is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue.
At the same time, we’re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Backed by a $100 million investment from Bertelsmann and operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us.
Meet Your Team: Supply Growth
At adjoe, we turn app publishers' potential into proven revenue. Our Publisher Accounts team combines adjoe’s deep technical expertise with strategic insight to optimize every aspect of creating engaging user experiences that drive monetization. We understand the delicate balance between user engagement and revenue generation, optimizing ad placements for visibility while ensuring a seamless app experience. Our publishers see concrete results: higher ARPDAU, improved retention metrics, and stronger overall user satisfaction and monetization performance.
What You Will Do:
- Manage and grow a portfolio of app publisher partners, driving mutual revenue growth and long-term success.
- Build and nurture strong relationships with partners through consistent communication across Slack, email, and video calls.
- Monitor and analyze key performance metrics (CPI, CPM, CTR, ARPDAU, etc.) to identify optimization opportunities and maximize results.
- Develop and present performance reports, insights, and Quarterly Business Reviews (QBRs) to partners and internal stakeholders.
- Collaborate cross-functionally with Product, Tech, and Business teams to address partner needs, troubleshoot issues, and deliver impactful solutions.
- Identify upselling and optimization opportunities to increase partner engagement and revenue potential.
- Translate partner feedback and market insights into actionable recommendations that help shape product improvements and strategy.
- Take ownership of your portfolio performance, proactively driving initiatives to exceed growth and retention targets.
Who You Are:
- You have 2+ years of experience in AdTech, mobile advertising, or digital marketing.
- You have a solid understanding of key industry metrics such as CPI, CPM, CPC, ARPDAU, CTR, and know how to leverage them to drive performance.
- You’re an exceptional communicator and can clearly convey complex ideas to diverse audiences.
- You bring strong analytical and problem-solving skills, with the ability to turn data into actionable insights and present to the partners in regular QBR meetings.
- You’re proficient in Google Workspace, especially Sheets and Slides, and use them effectively to analyze data and present results.
- You’re highly results-driven, motivated by achieving measurable outcomes and maximizing revenue.
- You thrive in a fast-paced, dynamic environment where priorities can shift and agility is key.
- You take full ownership of your work, proactively identifying opportunities and following through with impact.
Fuel for the Journey: Benefits to Support Your Ambitions:
- Work-Life Package: 2 remote days per week, 26 vacation days, 4 personal days, and initially 10 sick days, flexible working hours, 3 remote weeks (1 week at a time), office in the heart of Boston.
- Future & Financial Health Package: Comprehensive medical, dental, and vision plans as well as 401K match program
- Activity Package: Regular team and company events, bi-annual trips to HQ in Hamburg, Germany!
- Education Package: Opportunities to boost your professional development with courses and training directly connected to your career goals
- Free of charge access to our EAP (Employee Assistance Program) which is a counseling service designed to support your mental health and well-being
We welcome applications from people who will contribute to the diversity of our company.
Location: Hamburg
Workplace: Hybrid
adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
The Platform Behind 770 Million Users and Billions of Daily Ad Decisions
Behind the value exchange sits an ecosystem of interconnected engineering teams, each owning a distinct part of the stack. On the demand side, Go microservices evaluate 30+ targeting constraints in milliseconds, process 5.5 billion API requests daily, and integrate with ML models making 100,000+ predictions per second to decide which campaigns reach which users.
On the publisher side, native Android and iOS SDKs run on 13% of the world's smartphones, delivering rewards to 770 million users annually through a system where accuracy and latency are not optional. At this scale, product and technical decisions don't happen in isolation, every change ripples across the entire platform.
Your Mission & Who We Are Looking For:
- 6+ years in Product Management, Technical Product Management, or a leadership role where you owned the product vision. You have a proven track record of taking products from 0 to 1 or scaling from 1 to 100 in a high-growth environment, with a CS degree or equivalent hands-on mastery of system design and modern tech stacks. You think like an entrepreneur, if something is broken or missing, you fix it without waiting for a brief.
- Ships with conviction, measures with precision. You don't just ship features, you define why they're being built, how they fit the product lifecycle, and exactly how to measure success via business KPIs. You're a fast thinker who values question-and-answer efficiency over process overhead.
- Translates vision into execution. You take high-level business and product goals and turn them into actionable technical roadmaps. You drive projects by coordinating across domain areas, acting as the go-between for business stakeholders and engineering leads, and optimizing delivery processes to maintain velocity as the organization scales.
- Makes executive-level calls without hesitation. You step into technical and product meetings, unblock bottlenecks, and balance technical feasibility with product desirability. You're comfortable with ambiguity and dive into tickets, API documentation, or raw data to confirm product viability on your own.
- Tech fluency is your edge, not your identity. You understand system design and modern tech stacks well enough to make the right calls and ensure every feature maps back to measurable growth and revenue, not to write the code. You value AI as an optimizer but prioritize impact over hype.
- Manages and influences across teams. You have experience managing or mentoring people and can influence stakeholders across different departments. You articulate complex technical concepts clearly to non-technical audiences with confidence.
- Plus: Experience collaborating with Data Science, Data Engineering, and Analytics teams to leverage complex data models and pipelines for product-led growth decisions.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Location: Home Based - APAC; Office Based - Beijing, China; Office Based - Taipei, Taiwan
Ubuntu is the most widely used Linux distribution in the world, delivering kernels across a vast matrix of versions, architectures, and configurations – with up to 15 years of security and maintenance commitments for Long Term Support (LTS) releases. Ensuring the quality and reliability of these kernels demands a dedicated, systematic approach to testing at scale.
The Canonical Kernel Team is looking for a Test Engineer to take ownership of our kernel testing strategy and infrastructure. You will design and maintain test plans covering functional correctness, stability, performance, and security. You will build and evolve automated test frameworks – including stress testing, fuzzing, code coverage analysis, and regression detection – that not only must remain effective across many concurrently supported kernel versions spanning years of maintenance, but must be able to scale with the high demand for Ubuntu kernels (currently more than 160 under active support).
The successful candidate will bring strong Python skills, familiarity with Linux kernel internals, and experience building test infrastructure that scales. You will work closely with kernel engineers to catch regressions early, validate fixes, and ensure every kernel we ship meets the highest standards of reliability.
Location:
This role will be based remotely in the APAC region, except for Taipei, Taiwan, and Beijing, China, which are office-based locations.
What your day will look like
Design, develop, and maintain comprehensive test plans covering functional correctness, stability, performance, and security for Ubuntu Linux kernels
Build and improve automated test infrastructure for continuous kernel quality validation across multiple kernel versions and architectures
Maintain long-lived test suites that evolve alongside Ubuntu’s many concurrently supported kernel versions spanning years of maintenance
Develop and maintain CI/CD pipelines for continuous kernel quality validation
Conduct performance benchmarking and regression detection across kernel releases
Measure and improve kernel code coverage, identifying gaps in test coverage and creating tests to address them
Execute and analyze stress tests covering CPU scheduling, memory management, I/O subsystems, networking, and filesystem workloads
Develop and maintain fuzzing harnesses to discover kernel vulnerabilities and reliability issues using tools such as syzkaller, Trinity, or custom fuzzers
Collaborate regularly and proactively with a globally distributed team
Contribute to upstream test suites and testing frameworks
Document test methodologies, results, and coverage gaps
What we are looking for in you
Significant programming experience in Python
Experience with test frameworks such as LTP, kselftest, xfstests, stress-ng, fio, or similar
Experience designing and executing system-level tests: functional, stress, performance, or regression testing
Familiarity with CI/CD systems (Jenkins, GitHub CI, or similar)
Experience maintaining test suites over long periods, adapting to evolving software across multiple supported versions
Familiarity with Linux (Ubuntu or Debian preferred but not required), Linux kernel internals and subsystems
Experience with Linux systems administration and automation
Solid background with git
Well-organized, self-starting and able to deliver to fixed schedules
Professional written and spoken English with excellent communication skills
Ability to travel twice a year, for company events up to two weeks each
Additional skills that you might also bring
Familiarity with kernel fuzzing tools and techniques (e.g. syzkaller, Trinity, AFL, or custom harnesses)
Experience with code coverage instrumentation (e.g. gcov, kcov, LLVM source-based coverage)
Knowledge of kernel tracing and observability tools (e.g. ftrace, perf, bpftrace, eBPF)
Familiarity with static analysis tools (e.g. sparse, smatch, Coccinelle) as part of a testing workflow
Experience with fault injection frameworks (e.g. failslab, fail_make_request) for reliability testing
Prior experience with test infrastructure at scale (provisioning, orchestration, result aggregation)
Experience with Ubuntu/Debian packaging or Snap
Knowledge of virtualization technologies (KVM, QEMU) and container runtimes
Cloud infrastructure experience (AWS, GCP, Azure, or OpenStack)
Prior involvement with open source testing communities or projects
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
Fully remote working environment - we’ve been working remotely since 2004!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: Remote, US
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 an Senior AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes.
Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding.
Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment.
What you'll do
Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer.
Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration.
Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value.
Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI.
Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt.
Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D.
Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions.
Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable.
Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact.
What you'll bring
A Technologist at Heart -
Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them.
Competent, Confident Coding Skills -
You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently.
AI
& LLM
Technical Depth -
Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns. Deep, practical experience with modern AI technologies, specifically: Prompt engineering as a core discipline: designing effective system prompts, managing context windows, structuring multi-turn interactions, evaluating output quality, and iterating systematically on prompt design.
Model selection and cost-performance trade-offs:
understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window, and how to make principled decisions about capability versus cost.
Agentic architecture patterns:
tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns.Practical fluency across the LLM ecosystem: hands-on experience with models from Anthropic, OpenAI, open-source alternatives, and the judgment to know which to reach for and when.
AI Safety & Risk Awareness -
You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences. You know how to design appropriate guardrails (input validation, output filtering, access controls, prompt injection defences, and data leakage prevention) and you treat these as first-class engineering concerns.
Systems Thinking & Diagnostic Rigour -
The ability to look at a complex process and see the constraint. Comfortable mapping how work flows end-to-end, identifying bottlenecks, and tracing problems to root causes before proposing solutions. You instinctively ask "what's actually blocking flow here?" before asking "what model should I use?"
Business System Expertise -
Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean). You don't need deep experience with all of these, but to understand what they do, how they fit together, and be willing to build with and across them. A strong understanding of enterprise data models and workflows is essential.
Broad Functional Understanding -
Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs.
End-to-End Ownership -
Track record of owning complex initiatives from discovery through delivery. Comfortable operating with ambiguity and driving to measurable outcomes independently.
Product Mindset -
Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively. In addition, consider adoption, user experience, and business outcomes.
Preferred requirements
Experience with GitLab platform and CI/CD workflows
Background in consulting, solutions engineering, or customer-facing technical roles
Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking
Experience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development
Previous startup or high-growth company experience
Experience mentoring or leading technical projects with junior engineers
About the team
You will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers.
We believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$108,400
—
$129,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Berlin; Frankfurt am Main; Barcelona; Munich; Lisbon; Madrid; Hamburg; Porto
Workplace: Remote
HEY THERE
We’re looking for a Senior Mobile Engineer to join the Food Tracking squad at Yazio, the team building the core experience of our product. This includes daily food tracking, AI-driven insights, and features used by millions every day.
You are a key part in shaping the Food Tracking squad, leveraging our Kotlin Multiplatform (KMP) stack to deliver high-impact solutions for iOS and Android users. You join a cross-functional team partnering closely with Product Managers, Designers and Analysts.
This role is 100% remote and open to candidates based in Germany, Spain, Portugal, or the U.K.
YOUR MISSION
The Food Tracking squad is entering a new phase. From AI-driven features to deep personalization to help users lead a healthier life. Your mission is to shape the future of our squad with your technical expertise.
- Own Features End-to-End. You take ideas from a technical design to a polished, deployed feature. You are responsible for writing clean, maintainable code, ensuring high quality, and monitoring the impact of your work in production.
- Lead Migration to KMP: You assess, document and plan the migration of our complex domain from iOS/Android platform code to KMP-first code—while continuing to ship features to our users.
- Integrate AI Features: Together with the backend team, you bring scaleable AI-powered features to the app and evaluate best practices to ensure a great user experience.
- Partner with Product and Design. You won't just be handed tickets. You are a key contributor to the why and what by assessing new technical areas, weighing trade-offs, and helping shape a roadmap that is both ambitious and achievable.
- Elevate the Team. You act as a mentor for other engineers, leading by example with thoughtful code reviews and improving team processes without being asked.
YOUR PROFILE
We're looking for a seasoned engineer who is passionate about the craft but even more passionate about the impact their code has on users.
- Expert in Modern Mobile Development. You have significant experience building native mobile apps on Android with Kotlin and Compose, ideally with KMP. Experience on iOS with Swift and SwiftUI is a huge plus as well as the willingness to expand ownership across both ecosystems.
- End-to-End Ownership. You have a track record in organizing delivery of features end-to-end.
- AI Adopter. You're comfortable using AI tools to automate your daily workflows and achieve results while maintaining a high bar of quality and safety. Experience in integrating and shaping AI-driven features in production environments is a huge plus.
- Pragmatic. You know how to build the smallest piece fast to achieve results. You know what to build first and what to leave for later. You have high standards for code quality and leave it better than you found it even when things move quickly.
- True Product Engineer. You are obsessed with the user experience and the "why" behind what you're building. You're comfortable with product metrics and are driven to see your work make a measurable impact.
- Excellent Communicator. You can clearly articulate complex technical ideas to both technical and non-technical partners. You’re comfortable documenting technical topics in written form to your peers.
OUR CORE TECH STACK
We believe in Kotlin Multiplatform and use it heavily in our modularized monorepo. We share as much code as possible outside of the UI layer, while building the fully native UI using Compose on Android and SwiftUI on iOS.
We use libraries like:
- kotlinx.coroutines
- kotlinx.serialization
- Ktor
- SQLDelight
- Metro for dependency injection.
WHY US?
- An exciting product with millions of users in over 150 countries, driven by our mission to transform the world through healthy eating
- A remote-first setup: work 100% from home, join a co-working space, or work abroad for several weeks per year
- 30 vacation days to relax and recharge, plus 5 child sick days if your little one needs you
- A focus-driven culture that values efficiency over long hours - no overtime expectations, and if it happens, you get that time back!
- A high-impact environment where your work drives real change - short decision-making processes and no micromanagement
- A team culture where ambition and balance go hand in hand, supported by strong connections - from our fully covered company retreat to team meetups and virtual coffee breaks
- Tools and support to do your best work: MacBook, monitor, and €1,000 annual learning budget, plus regular feedback and career development
- A truly international team with English as our company language and a shared commitment to growth and well-being - supported by Sunday Supplements and Nilo Health
DIVERSITY AND INCLUSION
At Yazio, we believe that diversity fuels innovation. We are committed to fostering an inclusive environment where everyone, regardless of gender identity, race, religion, age, sexual orientation, or ability, feels valued and empowered. We celebrate different perspectives and actively encourage individuals from all backgrounds to apply.
READY TO JOIN US?
Excited to take Yazio to the next level and help people worldwide lead healthier lives? We’d love to hear from you! Please send us:
- Your CV in English
- A few lines (or a short video if you prefer) about who you are and why you want to work at Yazio
- Any additional materials that showcase your work (e.g., LinkedIn profile, portfolio)
Location: South Africa; Nigeria; Philippines; Colombia; Morocco
About Huzzle
At Huzzle, we connect exceptional sales talent with leading companies across the UK, US, Canada, Europe, and Australia. Our clients range from high-growth startups to established tech platforms across SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career growth, and long-term stability.
About the Company
Our client is a results-driven AI marketing agency that specializes in local lead generation for high-stakes professional service firms, including legal, medical, and home services industries. Founded in 2014, the team bridges the gap between engineering discipline and strategic marketing to help local businesses outrank national brands. They provide an integrated suite of services, including AI-driven search engine optimization, adaptive PPC management, and sophisticated digital transformation tools designed to turn discovery into high-intent bookings and calls.
Operating as a forward-thinking scale-up, the company focuses on "Midnight AI" systems that optimize visibility across Google Maps, organic search, and emerging AI recommendation engines. The culture is built on transparency, measurable outcomes, and a calm, disciplined approach to innovation. By joining this collaborative team, you will work at the intersection of traditional search and the new era of AI-driven marketing, delivering high-impact growth for clients who rely on steady inbound lead flow to thrive.
Job Summary
This company is a performance marketing agency building the "Agency of the Future" by leveraging AI to dominate the Answer Engine era. While traditional agencies are focused solely on Google rankings, this team ensures clients are cited inside ChatGPT, Perplexity, and Gemini. We are looking for a high-performing closer to lead our revenue function. You will sell directly to business owners and managing partners of firms generating $1M+ in annual revenue. This is a role for a strategic thinker who understands that modern businesses need high-margin, AI-driven solutions rather than outdated agency deliverables.
Key Responsibilities
Owning the full closing cycle, taking 7–10+ qualified calls per week across all US time zones.
Managing and coaching a front-end appointment setter, listening to call recordings daily to identify drop-off points and running live role-play sessions.
Handling complex objections regarding ROI and differentiation without the use of a script.
Conducting daily video syncs with leadership to review pipeline health and priorities.
Providing consistent End-of-Day (EOD) and End-of-Week (EOW) reports on revenue closed, close rates, and setter performance.
Scaling the performance of the sales function as the agency grows, with a target of $20,000+ in new contracts closed per month.
Requirements
+2 years of experience closing high-ticket services in a digital marketing, agency, or SaaS environment.
Proven track record of selling directly to business owners and managing partners in service-based industries (Law, Medical, Home Services).
Ability to speak fluently about revenue, leads, and ROI rather than just "deliverables."
Experience managing or coaching appointment setters to improve top-of-funnel health.
High level of self-discipline and the ability to operate in a remote, founder-led startup environment without micromanagement.
Availability to cover core US hours (8am–7pm CST) to support prospects from EST to PST.
Benefits
💰 Competitive base retainer plus uncapped commission
🌎 Fully remote work environment
📈 Compounding commission structure on multi-month contracts
🚀 Opportunity to lead the sales function of an AI-first agency
🎯 High-growth potential with total compensation realistic targets of $11k–$14k/mo by month 6
⚡ Flexible hours with a focus on output over clock-watching
Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
As our Technical Product Manager for Connectors, you are the master orchestrator of the enterprise ecosystem, ensuring Docebo talks seamlessly to the tools our customers love most. You aren’t just managing a list of integrations; you are building the mission-critical bridges between HRIS, CRM, and Productivity suites that power global learning at scale. Your mission is to define "what good looks like" for native integration quality and hold the organisation accountable to it through clear, measurable outcomes.
🛠️ THE DAY-TO-DAY
- Architect the Roadmap: Strategically prioritize our native integration portfolio by balancing customer demand, ARR impact, and competitive benchmarks across the HRIS and CRM landscapes.
- Deep-Dive Discovery: Lead technical reconnaissance by interrogating vendor APIs, testing authentication models, and inspecting payloads to ensure our PRDs are airtight before a single line of code is written.
- Own the Lifecycle: Manage the full "cradle-to-grave" journey of every connector, including proactive versioning, deprecation strategies, and navigating upstream vendor changes.
- Measure What Matters: Define and track the heartbeat of our portfolio through connector adoption rates, sync reliability, and SLOs that prove our impact to GTM leadership.
- Eliminate Ambiguity: Write precision-engineered specifications—covering field mapping, conflict resolution, and error handling—so Engineering and QA can execute with total clarity.
- Enable the Field: Partner with Technical Writers and Sales to create "field-ready" guides and represent Docebo as the technical authority in high-stakes enterprise deal cycles.
- Evaluate the Build: Make the high-level call on whether to build, co-build, or partner for new categories, using a blend of technical depth and commercial savvy.
⚡ YOUR SUPERPOWERS
- Integration Specialist: You have a black belt in enterprise APIs (REST, OAuth, SCIM) and understand why webhook reliability varies and how data model gaps create sync chaos.
- Hands-on Explorer: You don’t wait for a demo; you jump into Postman, call sandbox APIs, and prototype sync flows yourself to answer the tough questions.
- Precision Architect: You thrive in the details, crafting requirements that leave zero room for interpretation and ensuring our connectors are as reliable as they are functional.
- Metric-Minded Leader: You speak the language of SLOs and ARR, translating technical performance into commercial evidence that resonates with executive stakeholders.
- SaaS Savant: With 4+ years in Technical PM or Integration Engineering, you’ve managed complex portfolios and know the HCM or LMS ecosystem inside and out.
- Commercial Navigator: You know exactly which integrations protect revenue at renewal and which ones unlock new market segments, and you can explain the "why" to anyone.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
London, UK
УдалённоLos Angeles, United States
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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УдалённоseniorAbility to work 8 AM – 4 PM MST (South Africa timezone preferred)
УдалённоSouth Africa
leadMumbai, India; New Delhi, India
New York City, NY; San Francisco, CA | New York City, NY
Гибрид🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team
География найма не уточнена
Гибрид🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team
Home Based - APAC; Office Based - Beijing, China; Office Based - Taipei, Taiwan
УдалённоseniorRemote, US; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоseniorBerlin; Frankfurt am Main; Barcelona; Munich; Lisbon; Madrid; Hamburg; Porto; This role is 100% remote and open to candidates based in Germany, Spain, Portugal, or the U.K
УдалённоSouth Africa; Nigeria; Philippines; Colombia; Morocco; Owning the full closing cycle, taking 7–10+ qualified calls per week across all US time zones