Program Officer Jobs in Singapore.
All active Program Officer roles based in Singapore.
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As an Enterprise Customer Success Manager, you will proactively drive new product attachment and effective strong relationships across our largest and most strategic customers. You’ll advocate for the customer internally and focus on a positive customer experience. Interactions are rooted in relationship-management, first and foremost, while also advocating for growth opportunities. Enterprise Customer Success Managers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Partner with Enterprise Account Executive and Solution Engineering teams to onboard, train, and proactively drive adoption with our Enterprise customers
- Proactively build relationships with customers to achieve loyalty and advocacy within their organization
- Collaborate cross-functionally with internal Datadog teams (sales, support, enablement, product, finance, and legal)
- Own and project manage the on-boarding process for new customers
- Become a trusted advisor to the client and partner in building a clear and concise plan to meet their business goals
- Monitor and analyze usage trends to uncover renewal risks and identify opportunity for contract growth/optimization
Who You Are:
- Customer-centric with 3+ years in a Customer Success or Account Management role
- Able to manage a wide portfolio of accounts rolling up to large enterprise corporate accounts
- Knowledgeable in working with Fortune 1000 companies and global brands across all industries
- A strong communicator with exceptional attention to detail and an ability to cater to a specific audience, including CTO, VP of Engineering and DevOps professionals
- Experienced in the B2B tech space or with SaaS companies
- Able to travel for customer onsite visits and events as required
- Fluent in written and spoken English
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Best-in-breed onboarding
- Generous global benefits
- Intra-departmental mentor and buddy program for in-house networking
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- An inclusive company culture, able to join our Community Guilds and Inclusion Talks
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
As an Enterprise Customer Success Manager, you will proactively drive new product attachment and effective strong relationships across our largest and most strategic customers. You’ll advocate for the customer internally and focus on a positive customer experience. Interactions are rooted in relationship-management, first and foremost, while also advocating for growth opportunities. Enterprise Customer Success Managers follow a well-defined methodology that helps them identify the customer's unique needs and clearly convey the value of the Datadog product.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Partner with Enterprise Account Executive and Solution Engineering teams to onboard, train, and proactively drive adoption with our Enterprise customers
- Proactively build relationships with customers to achieve loyalty and advocacy within their organization
- Collaborate cross-functionally with internal Datadog teams (sales, support, enablement, product, finance, and legal)
- Own and project manage the on-boarding process for new customers
- Become a trusted advisor to the client and partner in building a clear and concise plan to meet their business goals
- Monitor and analyze usage trends to uncover renewal risks and identify opportunity for contract growth/optimization
Who You Are:
- Customer-centric with 3+ years in a Customer Success or Account Management role
- Able to manage a wide portfolio of accounts rolling up to large enterprise corporate accounts
- Knowledgeable in working with Fortune 1000 companies and global brands across all industries
- A strong communicator with exceptional attention to detail and an ability to cater to a specific audience, including CTO, VP of Engineering and DevOps professionals
- Experienced in the B2B tech space or with SaaS companies
- Able to travel for customer onsite visits and events as required
- Fluent in written and spoken English
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
- Best-in-breed onboarding
- Generous global benefits
- Intra-departmental mentor and buddy program for in-house networking
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- An inclusive company culture, able to join our Community Guilds and Inclusion Talks
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
#LI-Hybrid
About Datadog:
Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.
Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.
Ready to apply?
Apply to Datadog
Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter.
Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.
At Neo4j, we have always strived to help the world make sense of data.
As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.
Job Description:
As a member of our team, you will drive the growth of our pipeline and play a key role in expanding Neo4j’s footprint across strategic markets. The SDR role is fully focused on pipeline creation, high-quality discovery, and partnering closely with Account Executives to develop opportunities within priority accounts.
Responsibilities:
- Own and respond to a high volume of inbound leads (Contact Us requests, MQLs, event leads, and hand-raisers) within an assigned territory, delivering rapid follow-up and a best-in-class prospect experience.
- Qualify inbound interest through structured, high-quality discovery conversations to uncover business challenges, technical requirements, and buying intent.
- Convert inbound engagement into Qualified Sales Opportunities by clearly articulating Neo4j’s value and securing next steps with aligned Account Executives.
- Maintain strong speed-to-lead performance and SLA adherence while balancing personalization and quality at scale.
- Partner closely with Account Executives to ensure seamless lead handoff, shared account context, and aligned messaging within the patch.
- Provide clear, actionable insights from inbound conversations to support pipeline progression and account strategy.
- Conduct discovery calls with prospects in the Corporate segment (sub-$1B revenue), identifying technical and business challenges that Neo4j can solve.
- Build familiarity with Neo4j use cases, target industries, and buyer personas to confidently guide inbound conversations and position long-term value.
- Leverage intent data and account research to prioritize inbound activity and tailor engagement.
- Invest in learning Neo4j’s technology, competitive landscape, and enterprise use cases as preparation for an outbound, Enterprise-focused SDR role.
- Consistently meet or exceed KPIs for meetings held, opportunities created, inbound conversion rates, and overall pipeline contribution.
Qualifications:
- Have a minimum of 1-year applicable work experience as a BDR/SDR in a software company, and a B.A./B.S. degree.
- Experience in outbound or inbound prospecting, enterprise engagement, or selling data/analytics/information-management technologies is a major plus.
- Be a hard-working, self-starter, and willing to achieve a high volume of activity every day while maintaining a positive and energetic persona.
- Have positive, effective phone skills: including excellent listening, presentation, and objection handling, as well as strong writing skills.
- Be willing and able to learn new technologies.
- Demonstrate attention to detail, ensuring accurate entry and management of lead data in our Salesforce CRM system.
- Be proficient with standard corporate productivity tools (e.g., Google Docs, MS-Office, Salesforce, Web-conferencing, Outreach, Zoominfo)
- Be a team player with the highest level of integrity, and a willingness to contribute to the continued growth and evolution of the BDR program.
Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.
- Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.
- Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.
- 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.
- Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.
- Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.
- A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.
Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.
One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.
Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:
(we)-[:VALUE]->(relationships)
(we)-[:FOCUS_ON]->(userSuccess)
(we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]})
(we)-[:ASSUME]->(:Intent {direction:’Positive’})
(we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’})
(we)-[:DELIVER_ON]->(ourCommitments)
Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.
More information at www.neo4j.com.Ready to apply?
Apply to Neo4j
Who We Are
About the Opportunity
What You’ll Be Doing
1. Company AI Strategy & Transformation
-
Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets.
-
Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms.
-
Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions.
-
Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications.
-
Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points.
-
Identify and evaluate strategic AI acquisition, investment, and partnership opportunities.
2. System Building & Technical Execution
-
Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale.
-
Design and implement AI-native infrastructure: model serving, automated evaluation, A/B testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift.
-
Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end.
-
Build robust evaluation and benchmarking systems for AI outputs — measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction.
-
Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team.
3. Organizational AI Enablement & Adoption
-
Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions.
-
Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows).
-
Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation.
-
Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support.
-
Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent.
-
Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs.
What We Look For In You
-
10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab).
-
Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency).
-
Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks.
-
Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools).
-
Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications.
-
Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
Nice to Haves
-
Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements.
-
Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users).
-
Track record of driving company-wide AI adoption initiatives — not just team-level, but organization-wide cultural and process transformation.
-
Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community.
-
Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks).
-
Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops).
Perks & Benefits
-
Competitive total compensation package
-
L&D programs and Education subsidy for employees' growth and development
-
Various team building programs and company events
-
Wellness and meal allowances
-
Comprehensive healthcare schemes for employees and dependants
-
More that we love to tell you along the process!
OKX Statement:
Ready to apply?
Apply to OKX
Who We Are
About the Opportunity
What You’ll Be Doing
1. Company AI Strategy & Transformation
-
Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets.
-
Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms.
-
Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions.
-
Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications.
-
Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points.
-
Identify and evaluate strategic AI acquisition, investment, and partnership opportunities.
2. System Building & Technical Execution
-
Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale.
-
Design and implement AI-native infrastructure: model serving, automated evaluation, A/B testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift.
-
Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end.
-
Build robust evaluation and benchmarking systems for AI outputs — measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction.
-
Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team.
3. Organizational AI Enablement & Adoption
-
Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions.
-
Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows).
-
Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation.
-
Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support.
-
Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent.
-
Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs.
What We Look For In You
-
10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab).
-
Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency).
-
Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks.
-
Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools).
-
Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications.
-
Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
Nice to Haves
-
Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements.
-
Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users).
-
Track record of driving company-wide AI adoption initiatives — not just team-level, but organization-wide cultural and process transformation.
-
Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community.
-
Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks).
-
Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops).
Perks & Benefits
-
Competitive total compensation package
-
L&D programs and Education subsidy for employees' growth and development
-
Various team building programs and company events
-
Wellness and meal allowances
-
Comprehensive healthcare schemes for employees and dependants
-
More that we love to tell you along the process!
OKX Statement:
Ready to apply?
Apply to OKX
Director, Carbon Science
Company
Rubicon Carbon is a next-generation carbon solutions provider. Led by a world-class management team, Rubicon is an innovative platform that channels capital to unlock at-scale carbon project development, and delivers trusted, enterprise-grade solutions for carbon credit demand. Rubicon strives to deliver greater scale, confidence, and innovation across all facets of the carbon market and to meet the growing demand for end-to-end, high-integrity emissions reduction solutions.
Position Summary
Rubicon is seeking an experienced carbon market science and technical leader to support the growth of its project, investment, and portfolio activities across Asia, and the surrounding region. Reporting to the Head of Asia & Head of Asset Management with a dual reporting line to its Chief Science Officer in the US, this role will provide technical leadership and expertise across carbon project screening, due diligence, project design, portfolio management, and market-facing technical positioning.
This role requires deep expertise across both nature-based and technology-based carbon pathways, with strong grounding in methodology understanding and application, project design and implementation, MRV and dMRV, registry requirements, technical risk assessment, and market integrity frameworks. The successful candidate will combine scientific rigor with practical delivery experience, strong commercial judgment, and the credibility to engage effectively with developers, registries, auditors, ratings agencies, investors, and customers. Frequent international travel is expected for this role.
Role location is flexible, with a strong preference for candidates based in Singapore
Key Responsibilities
- Provide technical leadership across carbon projects spanning avoidance, reduction, and removal pathways, including both nature-based and technology-based solutions.
- Assess project design, baseline setting, additionality, leakage, permanence, monitoring plans, quantification approaches, uncertainty treatment, and delivery risk.
- Advise on methodology selection, applicability, interpretation, implementation, and where relevant, opportunities for methodology refinement or development.
- Lead or support technical due diligence for investments, project partnerships, and offtake opportunities, including review of PDDs, monitoring reports, validation and verification findings, and key technical assumptions.
- Support Asset Management of portfolio projects by identifying technical underperformance drivers, implementation bottlenecks, issuance risks, and mitigation measures.
- Work closely with project developers and implementation partners to strengthen project quality, monitoring systems, and issuance readiness
- Maintain strong working knowledge of major carbon standards, registries, and relevant program rules, including Verra, Gold Standard, ACR, CAR, ART, Puro, and other relevant mechanisms
- Monitor and interpret evolving carbon market integrity frameworks, including ICVCM CCP, ratings agency frameworks and criteria, and broader market expectations on project quality
- Work with the Rubicon Science team SMEs on the use of dMRV, remote sensing, GIS, sensor-based data systems, and other technology-enabled monitoring approaches to improve transparency, efficiency, and quality control
- Assess field implementation realities and technical execution risks, including data quality, operational capability, land tenure, local stakeholder engagement, FPIC, and audit readiness
- Support evaluation of project suitability for different market pathways and buyer use cases, including voluntary market applications and relevant Article 6 or jurisdictional considerations where applicable
- Partner closely with Science, Investments, Sales, Trading, and Asset Management teams to translate technical complexity into actionable investment, portfolio, and commercial decisions
- Contribute technical input to customer and commercial discussions, including quality positioning, methodology choices, delivery expectations, and risk implications
- Build and maintain strong relationships across the carbon ecosystem, including developers, standards bodies, registries, validation and verification bodies, ratings agencies, and technical advisors
Qualifications and Experience
- Bachelor’s degree in a relevant field, with relevant PhD or master’s degree preferred, such as environmental science, forestry, ecology, engineering, climate science, geospatial science, soil science, chemistry, or related fields, or equivalent experience.
- At least 7 years of relevant experience with at least 3 years in carbon markets, climate project development, carbon science, MRV, methodology development, technical due diligence, or related fields
- Deep understanding of major carbon credit pathways across both nature and technology, and how methodologies are designed, applied, and implemented in practice
- Hands-on experience in carbon project design, development, implementation, monitoring, validation, and verification
- Strong familiarity with key standards, registries, and market mechanisms, including Verra, Gold Standard, ACR, CAR, ART, Puro, and related frameworks
- Strong command of high-integrity carbon market principles, including additionality, baseline setting, quantification, permanence, leakage, uncertainty, and double counting
- Familiarity with ratings agency frameworks, quality assessment approaches, and how external quality signals affect project risk, portfolio value, and customer suitability
- Practical understanding of dMRV developments, geospatial tools, remote sensing, field data systems, and technology-enabled monitoring approaches
- Experience identifying and managing technical, implementation, and issuance risks across different project types and geographies
- Strong understanding of stakeholder engagement, safeguards, local community considerations, and FPIC in project development and implementation
- Strong commercial awareness and ability to connect technical rigor with investment, portfolio management, contracting, and customer needs
- Established network across the carbon market ecosystem in Asia and ideally globally
- Ability to operate credibly across technical, commercial, and executive audiences
- Multilingual skills - specifically in Bahasa, Mandarin, or Hindi - are a significant plus.
Preferred Attributes
- Strong judgment, intellectual rigor, and a pragmatic approach to technical problem-solving
- Ability to operate effectively in a fast-moving, entrepreneurial environment
- Comfortable working across multiple pathways, geographies, and project stages
- Strong communication skills, including the ability to distill complex technical issues into clear recommendations for non-technical stakeholders
Ready to apply?
Apply to Rubicon Carbon
Senior Strategy PMO / Project Manager (AI & Org Efficiency)
About the Role
Responsibilities
-
Drive end-to-end planning and execution of company-level strategic initiatives, spanning product, engineering, risk, growth, and operational transformation.
-
Partner with senior leadership to translate high-level strategies into executable roadmaps and delivery mechanisms.
-
Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams.
-
Identify cross-team bottlenecks and systemic inefficiencies, and drive structural solutions rather than one-off fixes.
-
Lead high-complexity, cross-functional programs (e.g., trading systems, risk infrastructure, growth platforms, or platform-level transformations).
-
Support and accelerate company-wide AI transformation initiatives, including:
-
Driving AI adoption across product and operational workflows
-
Coordinating cross-functional AI pilots and scaling best practices
-
Building execution frameworks for AI-enabled delivery models
-
-
Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making.
-
Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity.
Requirements
-
5–10 years of experience in strategy PMO, program management, or high-impact project delivery roles.
-
Strong experience driving complex, cross-functional initiatives in fast-paced environments such as:
-
Top-tier internet companies
-
Global tech companies or scale-ups
-
Fintech, trading, or platform-heavy organizations
-
-
Proven track record of delivering technically complex programs (e.g., trading systems, risk controls, user safety, growth platforms, infra-heavy initiatives).
-
Strong systems thinking — able to identify root causes and design scalable solutions.
-
Excellent execution skills with a bias toward action and outcomes.
-
Strong communication and stakeholder management skills, including experience working with senior executives.
-
High ownership mindset with the ability to operate independently in ambiguous environments.
Preferred Qualifications
-
Background in technically intensive domains such as:
-
Trading infrastructure or financial systems
-
User risk control systems or user growth
-
Platform architecture
-
-
Experience in crypto, fintech, or global-scale platforms.
-
Experience driving AI adoption in product, engineering, QA, or operational workflows.
-
Bilingual (English + Mandarin) to collaborate effectively across global teams.
Ready to apply?
Apply to OKX
About the Role
Responsibilities
-
Drive end-to-end planning and execution of company-level strategic initiatives, spanning product, engineering, risk, growth, and operational transformation.
-
Partner with senior leadership to translate high-level strategies into executable roadmaps and delivery mechanisms.
-
Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams.
-
Identify cross-team bottlenecks and systemic inefficiencies, and drive structural solutions rather than one-off fixes.
-
Lead high-complexity, cross-functional programs (e.g., trading systems, risk infrastructure, growth platforms, or platform-level transformations).
-
Support and accelerate company-wide AI transformation initiatives, including:
-
Driving AI adoption across product and operational workflows
-
Coordinating cross-functional AI pilots and scaling best practices
-
Building execution frameworks for AI-enabled delivery models
-
-
Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making.
-
Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity.
Requirements
-
5–10 years of experience in strategy PMO, program management, or high-impact project delivery roles.
-
Strong experience driving complex, cross-functional initiatives in fast-paced environments such as:
-
Top-tier internet companies
-
Global tech companies or scale-ups
-
Fintech, trading, or platform-heavy organizations
-
-
Proven track record of delivering technically complex programs (e.g., trading systems, risk controls, user safety, growth platforms, infra-heavy initiatives).
-
Strong systems thinking — able to identify root causes and design scalable solutions.
-
Excellent execution skills with a bias toward action and outcomes.
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Strong communication and stakeholder management skills, including experience working with senior executives.
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High ownership mindset with the ability to operate independently in ambiguous environments.
Preferred Qualifications
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Background in technically intensive domains such as:
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Trading infrastructure or financial systems
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User risk control systems or user growth
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Platform architecture
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Experience in crypto, fintech, or global-scale platforms.
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Experience driving AI adoption in product, engineering, QA, or operational workflows.
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Bilingual (English + Mandarin) to collaborate effectively across global teams.
Ready to apply?
Apply to OKX