The intern will support marketing efforts to establish Merkle Science as a thought leader and assist in developing sales tools, strategies, and project management.
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
What will you do?
· Key objectives include establishing Merkle Science as a thought leader in the US market and enabling the sales team to meet revenue targets
· Working closely with the sales team to identify core value proposition and differentiators and creating a strategy to communicate it at scale to potential customers
· Work across multiple channels to communicate Merkle Science’s value proposition and differentiators in the competitive market.
· Create sales tools and content such as case studies, videos, website copy and blog posts
· Collaborate with cross-functional teams for market research, user testing and interviews to discover market opportunities
· Coordinate closely with product management and engineering teams to determine product roadmap and establish go-to-market strategy for products
· Establish and iterate on go-to-market strategy to reach revenue targets
· Will manage his/her own team of designers and marketers.
What are we looking for?
o Fluent in English
o At least 2-4 years of prior marketing / product experience
o Previous compliance/finance/blockchain experience is a big plus
o Experience in analytical problem solving and quantitative analysis, including development of dashboards and reporting tools
o Ability to lead analyses, track metrics, build strategic insights and find creative ways to optimize performance
o Ability to work in a fast-changing, cross-functional environment, while maintaining an entrepreneurial approach and building rapport with ease.
Ability to take complex topics and create compelling narratives for different audiences.
o Excellent project management and stakeholder management skills.
o Professionals hailing from the world's best universities - Tier 1 .
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
Similar Jobs
Software
Support product marketing for UDS by developing go-to-market strategies, positioning, technical content, demos, and launch materials. Partner with Product, Engineering, and Growth to translate complex cloud-native and DevSecOps capabilities into clear value for defense and national security customers. Conduct market research, competitive analysis, and post-launch optimization while supporting adoption and evangelism.
Top Skills:
AWSAzureCncfContainersGCPGitopsHelmKubernetesKustomizePulumiTerraform
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads complex enterprise AI deployments and high-stakes go-live engagements, owns deployment playbooks and shared tooling, mentors engineers, establishes quality standards, captures reusable deployment knowledge, and partners with product and engineering teams. The role requires hands-on software development, customer-facing communication, AI and GenAI integration, prompt engineering, and production delivery experience.
Top Skills:
Ai AgentsGenerative AiJavaJavaScriptNow AssistPrompt EngineeringPython
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and productionize AI agents, assistants, models, and reusable skills for Armis and its customers. Rapidly develop MVPs, collaborate with engineering to harden systems, and implement rigorous evaluations for quality, safety, and reliability. Design secure agentic workflows with guardrails and isolation, select appropriate frameworks and models, establish reusable AI development practices, consult across the organization, and document solutions for operation and evaluation.
Top Skills:
Ai AgentsAPIsAWSAzureClaude SdkDockerGoogle Ai SdkGoogle Cloud PlatformKubernetesMulti-Agent SystemsOpenai SdkPythonRetrieval-Augmented GenerationSkill.Md
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
