Lead growth marketing initiatives, run metric-driven user acquisition experiments, collaborate with product and engineering, support product marketing, and analyze user feedback to improve conversion rates.
Company Description
Our mission is to help everyone become confident speakers. Launched in October 2018, Speeko’s mobile app is now the #1 public speaking app for 150,000 users around the world. We invite you to consider joining our high-growth, early-stage startup!
Job DescriptionHow your skills will grow at Speeko:
- You will take a leading role in driving our growth marketing strategy and growing our user base.
- You will run metric-driven user acquisition experiments.
- You will collaborate with the product and engineering teams to plan your experiments.
- You will help with product marketing and interpreting user feedback as related to user conversion rates.
What we’re looking for:
- You’re in a undergraduate or graduate student
- You’re familiar with various digital marketing tools, including analytics, attribution, and social media
- You’re familiar with data-driven marketing
- You have an interest in apps and emerging technology
- You’re both a quantitative and a creative thinker
- You’re self-directed
- You’re a strong communicator—both written and verbal
All your information will be kept confidential according to EEO guidelines.
Similar Jobs
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Own and scale paid social and premium video channels, including strategy, media buying, optimization, budgeting, creative testing, and incrementality measurement. Build AI-powered workflows for campaign execution, QA, pacing, reporting, and insights. Partner with creative, agency, and product marketing teams while turning performance data into channel and budget decisions. This is a senior individual contributor role requiring extensive paid social, OLV/CTV, data measurement, and AI automation experience.
Top Skills:
AIAi AgentsAttributionCtvMarketing Mix Modeling (Mmm)MetaOlv
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Lead end-to-end execution of a 12+ initiative product security program, managing cross-team dependencies, vendor procurement, BAU security operations, and executive reporting. Maintain roadmap and tracking in Jira/Confluence, drive procurement/POCs, produce executive-ready metrics, and establish program cadence to ensure timely remediation and predictable delivery.
Top Skills:
Ai And Machine LearningCi/CdCloud-Native SecurityConfluenceDevsecopsIdentity And Access Management (Iam)JIRAScmVulnerability Management
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Design, build, and deploy scalable Java microservices within an AWS cloud-native platform. Provide technical leadership, architectural direction, code reviews, troubleshooting, proof-of-concept development, and cross-functional collaboration. Lead complex backend features, improve engineering practices with AI tools, support observability and reliability goals, and participate in on-call rotations. Mentor engineers and help drive technical simplification across distributed, event-driven systems.
Top Skills:
AirflowAWSClaudeCursorDatabricksDatadogGrafanaJavaKafkaPrometheusRedisSnowflake
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
