SignalFire

Product Marketing

• Define product positioning, messaging, and competitive differentiation
• Develop and execute go-to-market strategies for product launches
• Partner with sales to create enablement materials, playbooks, and competitive battlecards
• Conduct market research, customer insights, and competitive analysis
• Drive content strategy, including case studies, whitepapers, and thought leadership
• Own pricing, packaging, and value proposition development
• Collaborate cross-functionally with product, sales, demand generation, and growth marketing teams
• Track and measure product adoption, pipeline impact, and customer engagement metrics
• Join SignalFire’s Talent Network so the profile can be shared with VC-backed portfolio companies
• Submit an application and be considered for potential product marketing opportunities across SignalFire’s portfolio

Product Marketing Manager – VC Backed Startups

Full-stack Engineer

• Define and drive technical architecture, best practices, and full stack development strategy
• Design, build, and maintain scalable, high-performance applications across the front-end and back-end
• Develop APIs, microservices, and cloud-native solutions for large-scale applications
• Optimize performance, security, and reliability across the application stack
• Collaborate with founders, product managers, and engineering teams to align business and technology goals
• Establish and lead code review, testing, and deployment best practices
• Mentor and guide senior engineers and foster a strong engineering culture
• Submit an application to join SignalFire’s Talent Ecosystem
• SignalFire reviews applications on an ongoing basis and may connect candidates with portfolio-company opportunities
• Keep candidate profiles on file for future full stack engineering roles

Principal Software Engineer – VC Backed Startups

AI Engineer

• Architect, develop, and optimize machine learning and deep learning models for production systems
• Research and apply state-of-the-art AI methodologies, including LLMs, transformers, and reinforcement learning
• Lead AI strategy by identifying opportunities for innovation and model optimization
• Develop scalable training and inference pipelines for AI-powered applications
• Work closely with engineering, data, and product teams to integrate AI/ML into business solutions
• Optimize ML models for efficiency, accuracy, and scalability in real-world deployments
• Ensure robust MLOps practices, including model monitoring, retraining, and deployment automation
• Collaborate on AI/ML research publications, patents, and open-source contributions
• Submit an application to join SignalFire’s Talent Ecosystem
• SignalFire reviews applications on an ongoing basis and may connect matched candidates with portfolio-company talent partners or leaders

Principal AI/ML Engineer

Product Manager

• Own and define product vision, strategy, and roadmap to drive business impact
• Build and scale high-performing product teams, including hiring and mentoring product talent
• Drive cross-functional alignment across engineering, design, marketing, and sales
• Oversee feature prioritization, execution, and product development lifecycles
• Develop data-driven decision-making frameworks using analytics and user research
• Own go-to-market strategy with sales and marketing to ensure product adoption
• Identify and evaluate new market opportunities, competitive positioning, and growth strategies
• Ensure best-in-class user experience, customer feedback loops, and rapid iteration cycles
• Collaborate with founders and executive teams to align product direction with company objectives
• Join SignalFire’s Talent Network so the profile can be shared with portfolio companies and considered for future opportunities

Head of Product

Engineering Manager

• Build and scale high-performing engineering teams, including hiring and developing technical talent
• Define and drive technical strategy, execution, and long-term roadmap alignment with business objectives
• Oversee architecture, infrastructure, and best practices for scalable, reliable systems
• Foster a culture of innovation, collaboration, and continuous improvement
• Own engineering operations and ensure high-velocity product development and delivery
• Establish engineering processes, CI/CD workflows, and DevOps best practices
• Collaborate with founders, product, and business teams on company-wide strategic direction
• Drive cross-functional collaboration across engineering, product, and design teams
• Lead initiatives for performance optimization, security, and cost efficiency
• Join SignalFire’s Talent Network so the profile can be shared with portfolio companies for potential opportunities
• Maintain profile consideration for future engineering leadership roles if no immediate match exists

Head of Engineering – Director/VP

Artificial Intelligence

• Define and execute the company’s AI and machine learning strategy in alignment with product and business priorities
• Build, lead, and develop high-performing teams across machine learning, applied AI, data science, and research
• Identify high-impact opportunities to apply AI and translate them into differentiated product capabilities
• Lead the development, evaluation, deployment, and continuous improvement of production ML systems
• Establish technical standards for model quality, experimentation, reliability, observability, and responsible AI
• Guide decisions across model selection, fine-tuning, retrieval, data strategy, infrastructure, and build-versus-buy tradeoffs
• Partner with engineering and product leaders to integrate AI capabilities into scalable customer-facing products
• Oversee data collection, labeling, governance, and feedback loops required to improve model performance
• Evaluate emerging models, research, and tooling while maintaining a practical focus on customer and business value
• Communicate AI strategy, capabilities, limitations, and investment priorities to executive teams, boards, customers, and partners
• Support recruiting, organizational design, and workforce planning for the company’s AI and ML functions
• Help establish safeguards around privacy, security, bias, explainability, and regulatory requirements
• Submit an application to join SignalFire’s Talent Ecosystem
• Work with SignalFire talent partners or leaders from portfolio startups if a match is identified

Head of AI/ML – VC Backed Startups

Account Executive

• Drive new business acquisition across named enterprise accounts or verticals
• Develop account plans and engage multiple stakeholders across departments and functions
• Lead consultative sales processes, including custom demos, proof of concepts, and ROI analyses
• Collaborate with solutions engineers, product, marketing, and leadership to win strategic deals
• Navigate procurement, security assessments, and enterprise-level contract negotiations
• Forecast pipeline accurately and contribute to sales strategy and growth planning
• Serve as a trusted advisor to C-level buyers and help shape product roadmap through feedback
• Join SignalFire’s Talent Network so the profile can be shared with VC-backed portfolio startups
• Respond to potential outreach from SignalFire talent partners or portfolio-company leaders if matched

Enterprise Account Executive – VC Backed Startups

Performance Marketing

• Develop and execute demand generation strategies across paid, owned, and earned channels
• Build multi-touch campaigns that drive top-of-funnel awareness and qualified pipeline
• Own and optimize performance marketing, ABM, email nurture, and content syndication programs
• Partner with sales and product marketing to align campaign strategies with GTM priorities
• Manage marketing automation and lead scoring systems
• Track and report on campaign performance, pipeline contribution, and ROI
• Conduct A/B testing and conversion rate optimization across landing pages and campaign assets
• Scale inbound and outbound efforts to drive customer acquisition
• Submit an application to join SignalFire’s Talent Ecosystem
• Maintain profile consideration for future roles across SignalFire’s portfolio companies

Demand Generation Manager – VC Backed Startups

Data Scientist

• Partner with product, engineering, and business leaders to identify high-impact data science opportunities
• Design and analyze experiments for product changes, growth initiatives, and operational strategies
• Develop predictive, forecasting, recommendation, ranking, and optimization models
• Apply statistical methods and causal inference techniques to measure impact and inform decisions
• Build metrics, analytical frameworks, and dashboards to improve visibility into product and business performance
• Translate complex analyses into clear recommendations for technical and non-technical stakeholders
• Collaborate with engineers to productionize models and integrate data science into customer-facing products
• Identify patterns in user, customer, operational, and market data
• Establish best practices for experimentation, model evaluation, data quality, and analytical rigor
• Mentor other data scientists and raise the technical standard of the broader data organization
• Help shape the company’s data strategy, tooling, and long-term analytical roadmap
• Submit an application to join SignalFire’s Talent Ecosystem
• Maintain a profile for matching with future opportunities across SignalFire’s portfolio companies

Senior Data Scientist – VC Backed Startups

• Join SignalFire’s Talent Network to be considered for Senior and Staff Data Scientist opportunities at VC-backed portfolio startups
• Use data, experimentation, and machine learning to solve complex product and business problems
• Partner with product, engineering, and business leaders to identify high-impact data science opportunities
• Design and analyze experiments for product changes, growth initiatives, and operational strategies
• Develop predictive, forecasting, recommendation, ranking, and optimization models
• Apply statistical methods and causal inference to measure impact and inform decisions
• Build metrics, analytical frameworks, and dashboards for product and business performance
• Translate complex analyses into recommendations for technical and non-technical stakeholders
• Collaborate with engineers to productionize models and integrate data science into customer-facing products
• Identify patterns in user, customer, operational, and market data
• Establish best practices for experimentation, model evaluation, data quality, and analytical rigor
• Mentor other data scientists and raise the technical standard of the data organization
• Help shape data strategy, tooling, and the long-term analytical roadmap
• Submit an application for review and potential matching with SignalFire portfolio companies
• Maintain profile consideration for future Senior and Staff Data Scientist roles if no immediate match is found

Data Engineer

• Connect exceptional Data Engineers with VC-backed startups actively hiring data engineering talent
• Design, build, and maintain scalable batch and real-time data pipelines
• Develop reliable data models, transformation workflows, and shared datasets for analytics and operational use cases
• Build and manage cloud-based data warehouses, lakehouses, and data platforms
• Integrate data from product, customer, financial, and third-party systems
• Establish standards for data quality, testing, lineage, observability, and documentation
• Partner with analytics, product, engineering, and business teams to understand data requirements
• Support machine learning and AI applications with training, feature, and inference data pipelines
• Improve the performance, scalability, and cost efficiency of data infrastructure
• Build self-service tools and frameworks to improve data discovery and usability
• Implement access controls, privacy safeguards, and data-governance practices
• Troubleshoot pipeline failures, data-quality issues, and performance bottlenecks
• Help define broader data architecture and technical roadmaps
• SignalFire reviews applications on an ongoing basis and may connect candidates with portfolio-company talent partners or leaders

• Design, build, and maintain scalable batch and real-time data pipelines
• Develop reliable data models, transformation workflows, and shared datasets for analytics and operational use cases
• Build and manage cloud-based data warehouses, lakehouses, and data platforms
• Integrate data from product, customer, financial, and third-party systems
• Establish standards for data quality, testing, lineage, observability, and documentation
• Partner with analytics, product, engineering, and business teams to understand data requirements
• Develop training, feature, and inference data pipelines supporting machine learning and AI applications
• Improve the performance, scalability, and cost efficiency of data infrastructure
• Build self-service tools and frameworks that make data easier to discover and use
• Implement access controls, privacy safeguards, and data-governance practices
• Troubleshoot pipeline failures, data-quality issues, and performance bottlenecks
• Help define broader data architecture and technical roadmaps
• Submit an application to SignalFire’s Talent Ecosystem
• Work with SignalFire talent partners or portfolio-company leaders if a potential match is identified
• Maintain profile consideration for future Data Engineering roles across the portfolio

Chief of Staff

• Partner with the CEO, founder, or executive team on company priorities, strategic planning, and decision-making
• Drive high-priority, cross-functional initiatives from problem definition through execution
• Establish and manage operating rhythms, including leadership meetings, goal-setting, planning, and business reviews
• Prepare executive communications, board materials, investor updates, and strategic presentations
• Conduct research and analysis supporting growth, organizational design, product strategy, market expansion, and fundraising decisions
• Track company goals, KPIs, and critical initiatives to ensure accountability and follow-through
• Identify operational gaps and build processes, systems, and workflows to improve organizational effectiveness
• Facilitate cross-functional alignment and help resolve issues spanning multiple teams
• Support special projects including fundraising, annual planning, partnerships, hiring, acquisitions, and new market launches
• Serve as a trusted thought partner to the CEO or executive team while maintaining discretion and sound judgment
• Join SignalFire’s Talent Network for consideration by VC-backed portfolio companies; this is not an application for a specific job

Chief of Staff – VC Backed Startups

Business Operations

• Join SignalFire’s Talent Network for Business Operations Manager roles at VC-backed startups
• Help startups solve complex business problems, improve how teams operate, and drive high-priority initiatives across the company
• Lead high-priority, cross-functional initiatives across growth, finance, product, customer operations, and organizational planning
• Analyze business performance, identify trends, and develop recommendations for company leadership
• Build dashboards, reporting processes, and operating metrics to improve visibility and accountability
• Partner with functional leaders to define goals, track progress, and address execution risks
• Develop and improve internal processes, workflows, and systems as the company scales
• Support annual planning, budgeting, forecasting, and resource allocation
• Conduct market, customer, competitor, and operational analyses to inform strategic decisions
• Prepare business reviews, executive presentations, and board materials
• Evaluate new business opportunities, partnerships, products, and market expansion initiatives
• Translate leadership priorities into workstreams, owners, timelines, and measurable outcomes
• Support special projects related to fundraising, pricing, organizational design, and company-wide transformation
• Help establish scalable operating practices across teams and functions
• Submit an application to join SignalFire’s Talent Network; applications are reviewed on an ongoing basis and matched with portfolio-company opportunities

Business Operations Manager – VC Backed Startups

Engineer

• Partner directly with customers to understand workflows, technical environments, and business requirements
• Design, build, and deploy production-ready solutions using core platforms or APIs
• Develop custom integrations, applications, and technical workflows tailored to customer needs
• Troubleshoot implementation, infrastructure, data, and product issues
• Collaborate with product and engineering teams to translate customer feedback into platform improvements
• Guide customers through technical architecture, deployment, testing, and adoption
• Create reusable tools, documentation, and implementation frameworks
• Support pilots and proofs of concept and help customers move into production
• Identify recurring customer needs to inform product strategy and roadmap priorities
• Submit an application to join SignalFire’s Talent Ecosystem
• SignalFire reviews applications on an ongoing basis and may contact matched candidates directly
• Profiles remain on file for future Forward Deployed Engineer roles across the portfolio

Product Marketing Manager – VC Backed Startups

Principal Software Engineer – VC Backed Startups

Principal AI/ML Engineer

Head of Product

Head of Engineering – Director/VP

Head of AI/ML – VC Backed Startups

Enterprise Account Executive – VC Backed Startups

Demand Generation Manager – VC Backed Startups

Senior Data Scientist – VC Backed Startups

Senior Data Scientist – VC Backed Startups

Data Engineer

Data Engineer

Chief of Staff – VC Backed Startups

Business Operations Manager – VC Backed Startups

Forward Deployed Engineer – VC Backed Startups