Similar Jobs
eCommerce • Information Technology • Retail • Industrial
Lead product strategy and roadmap for security engagement and automation platforms (policy, secrets, vulnerability scanning, access, and risk automation). Partner with Security, Engineering, Legal, and Infrastructure to define requirements, drive adoption, mentor a TPM, and measure outcomes while balancing developer experience, compliance, and risk reduction.
Top Skills:
Access ManagementApplication Security AutomationPlatform EngineeringPolicy ManagementSecrets ManagementSecurity AutomationVulnerability Scanning
Automotive • Information Technology • Software
Lead product vision, roadmap, and P&L for lending, F&I menu, and contract management. Partner closely with engineering on architecture, own backlogs and KPIs (approval rates, time-to-fund, error rates), manage lender/eSignature/document partner relationships, and ship AI-powered lender matching, credit decisioning, and menu optimization features with compliance and scalability.
Top Skills:
Agent ArchitecturesAi/MlApi IntegrationsClaudeDocument Workflow SystemsEsignatureEvent-Driven ArchitecturesJIRAPrompt DesignRetrieval Design (Rag)Token Consumption And Model Selection
Artificial Intelligence • Automotive • Machine Learning • Financial Services
Lead consolidation and strategy for a fragmented AI prompt platform, prioritize chatbot and agent work, own OpenAI partnership and ChatGPT presence, and drive platform architecture, migration, and cross-functional execution to scale AI-powered customer experiences.
Top Skills:
AgentsBotlyChatgpt AppCRMGitLlmsOpenaiPrompt EngineeringPropelixReplitSQL
Conversica is looking for a Senior Technical Product Manager to help drive clarity and momentum across our platform as we continue to scale our AI-powered conversational intelligence products. This is a U.S.-based, remote role, and Conversica operates as a fully remote company.
This role is ideal for a senior, technically fluent product leader who enjoys diving into APIs, data models, and system behavior, and who thrives in close partnership with Engineering. You will play a key role in shaping shared platform capabilities, informing product decisions across multiple verticals, and helping teams move faster by reducing ambiguity.
This role is best suited for someone who enjoys hands-on technical exploration, collaborative problem-solving, and working in a fast-moving, evolving environment.
Responsibilities
- Serve as a strong technical partner to Engineering by driving clarity, challenging assumptions when needed, and moving teams from discussion to decision and delivery on complex platform initiatives.
- Independently investigate APIs, data models, platform services, and AI-enabled capabilities, proactively surfacing constraints, risks, and opportunities before they impact execution.
- Translate architectural concepts, system constraints, and technical findings into clear product requirements and backlog items
- Own backlog refinement, technical requirements, dependency mapping, and cross-team coordination for platform and infrastructure-related work
- Serve as a technical product partner for shared capabilities used across multiple product areas and verticals
- Proactively identify and surface technical risks, trade-offs, and sequencing considerations
- Drive clarity and execution on ambiguous, technically complex initiatives, taking accountability for decisions, trade-offs, and outcomes.
- Support vertical Product Managers by providing system-level and technical insight that enables faster, better-informed execution
Qualifications
- 5–8+ years of experience in Product Management, Technical Product Management, or a related technical role
- Demonstrated technical aptitude, including prior experience as a software engineer, engineering manager, solutions architect, or equivalent hands-on technical role
- Strong understanding of APIs, data systems, and modern SaaS architectures
- Comfortable independently exploring systems, reviewing APIs, and forming technical opinions based on direct investigation
- Proven experience partnering closely with Engineering teams on complex, multi-system initiatives
- Demonstrated ability to operate proactively and independently in an evolving, resource-constrained environment
- Hands-on experience working with AI-enabled systems or AI-native products in production environments, including understanding model behavior, data dependencies, and system-level tradeoffs.
- Experience working in B2B SaaS environments; familiarity with CRM or marketing automation systems is a plus
- Experience supporting multiple product areas or verticals in a horizontal product role is a plus
Conversica is a fully remote, U.S.-based company, and this role is open to candidates located within the United States.
This is a full-time, exempt position. The base salary range for this position is $165,000-$195,000 USD, with equity included as part of the overall compenstaion package.
Actual compensation will be determined based on marke location, job-related knowledge, skills, and experience. Conversica offers a comprehensive benefits package, including medical, dental, and vision coverage, paid time off and holidays, a 401(k) plan, and equity.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
