Data Engineer - VC Backed Startups
Join SignalFire’s Talent Network for Data Engineer Roles at VC-Backed Startups
🛑 This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring Data Engineering talent. If you have any questions, please direct inquiries to talentnetwork@signalfire.com.
At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our portfolio spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
We’re looking to connect with exceptional Data Engineers who are excited about building scalable data infrastructure, developing reliable pipelines, and enabling teams to make better decisions with trusted data.
By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.
Who Should Join?
We’re looking for engineers who are:
✔ Passionate about building reliable, scalable data systems and infrastructure
✔ Experienced in transforming complex datasets into trusted, accessible data products
✔ Excited to establish data foundations in fast-moving startup environments
✔ Comfortable partnering with engineering, product, analytics, and machine learning teams
✔ Interested in improving how data is collected, modeled, governed, and used across an organization
Typical Roles & Responsibilities
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 by developing dependable training, feature, and inference data pipelines
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 appropriate access controls, privacy safeguards, and data-governance practices
Troubleshoot pipeline failures, data-quality issues, and performance bottlenecks
Help define the company’s broader data architecture and technical roadmap
Common Qualifications
While each startup has its own hiring criteria, many Data Engineer roles in our network look for:
3+ years of experience in data engineering, software engineering, analytics engineering, or a related technical role
Strong programming skills in Python, Java, Scala, or a similar language
Advanced proficiency in SQL and experience designing scalable data models
Experience building and maintaining production ETL or ELT pipelines
Familiarity with cloud platforms such as AWS, GCP, or Azure
Experience with modern data warehouses or lakehouse platforms such as Snowflake, BigQuery, Redshift, or Databricks
Knowledge of workflow orchestration, transformation, and data-quality tooling
Understanding of distributed systems, data storage formats, and batch or streaming architectures
Ability to collaborate with technical and non-technical stakeholders to translate business needs into data solutions
Strong judgment around reliability, scalability, governance, and infrastructure tradeoffs
Experience in venture-backed startups or rapidly scaling technology companies may be preferred
💡 Technologies You Might Work With:
Languages: Python, SQL, Java, Scala, Go
Warehouses & Lakehouses: Snowflake, BigQuery, Redshift, Databricks, Delta Lake
Pipelines & Transformation: Airflow, Dagster, Prefect, dbt, Fivetran, Airbyte
Streaming & Processing: Kafka, Spark, Flink, Kinesis, Pub/Sub
Cloud & Infrastructure: AWS, GCP, Azure, Docker, Kubernetes, Terraform
Data Quality & Observability: Great Expectations, Monte Carlo, Soda, DataHub, OpenLineage
Databases & Storage: PostgreSQL, MySQL, DynamoDB, MongoDB, S3
What Happens Next?
Submit your application to join SignalFire’s Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet? We’ll keep your profile on file for future Data Engineering roles across our portfolio.
Data Engineer - VC Backed Startups
Join SignalFire’s Talent Network for Data Engineer Roles at VC-Backed Startups
🛑 This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring Data Engineering talent. If you have any questions, please direct inquiries to talentnetwork@signalfire.com.
At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our portfolio spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
We’re looking to connect with exceptional Data Engineers who are excited about building scalable data infrastructure, developing reliable pipelines, and enabling teams to make better decisions with trusted data.
By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.
Who Should Join?
We’re looking for engineers who are:
✔ Passionate about building reliable, scalable data systems and infrastructure
✔ Experienced in transforming complex datasets into trusted, accessible data products
✔ Excited to establish data foundations in fast-moving startup environments
✔ Comfortable partnering with engineering, product, analytics, and machine learning teams
✔ Interested in improving how data is collected, modeled, governed, and used across an organization
Typical Roles & Responsibilities
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 by developing dependable training, feature, and inference data pipelines
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 appropriate access controls, privacy safeguards, and data-governance practices
Troubleshoot pipeline failures, data-quality issues, and performance bottlenecks
Help define the company’s broader data architecture and technical roadmap
Common Qualifications
While each startup has its own hiring criteria, many Data Engineer roles in our network look for:
3+ years of experience in data engineering, software engineering, analytics engineering, or a related technical role
Strong programming skills in Python, Java, Scala, or a similar language
Advanced proficiency in SQL and experience designing scalable data models
Experience building and maintaining production ETL or ELT pipelines
Familiarity with cloud platforms such as AWS, GCP, or Azure
Experience with modern data warehouses or lakehouse platforms such as Snowflake, BigQuery, Redshift, or Databricks
Knowledge of workflow orchestration, transformation, and data-quality tooling
Understanding of distributed systems, data storage formats, and batch or streaming architectures
Ability to collaborate with technical and non-technical stakeholders to translate business needs into data solutions
Strong judgment around reliability, scalability, governance, and infrastructure tradeoffs
Experience in venture-backed startups or rapidly scaling technology companies may be preferred
💡 Technologies You Might Work With:
Languages: Python, SQL, Java, Scala, Go
Warehouses & Lakehouses: Snowflake, BigQuery, Redshift, Databricks, Delta Lake
Pipelines & Transformation: Airflow, Dagster, Prefect, dbt, Fivetran, Airbyte
Streaming & Processing: Kafka, Spark, Flink, Kinesis, Pub/Sub
Cloud & Infrastructure: AWS, GCP, Azure, Docker, Kubernetes, Terraform
Data Quality & Observability: Great Expectations, Monte Carlo, Soda, DataHub, OpenLineage
Databases & Storage: PostgreSQL, MySQL, DynamoDB, MongoDB, S3
What Happens Next?
Submit your application to join SignalFire’s Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet? We’ll keep your profile on file for future Data Engineering roles across our portfolio.
Security Engineer (Senior/Staff) - VC Backed Startups
Join SignalFire’s Talent Network for Security Engineer (Senior/Staff) Roles at VC-Backed Startups
🛑 This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring Security Engineering talent. If you have any questions, please direct inquiries to talentnetwork@signalfire.com.
At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our portfolio spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
We’re looking to connect with exceptional Senior and Staff Security Engineers who are excited about building secure products, protecting critical systems, and establishing scalable security practices at high-growth startups.
By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.
Who Should Join?
We’re looking for engineers who are:
✔ Passionate about building secure, resilient products and infrastructure
✔ Experienced in identifying vulnerabilities and translating security risks into practical engineering solutions
✔ Excited to establish security programs and technical standards in fast-moving startup environments
✔ Comfortable partnering across engineering, product, infrastructure, and business teams
✔ Interested in balancing strong security controls with product velocity and customer needs
Typical Roles & Responsibilities
Design and implement security controls across applications, cloud infrastructure, internal systems, and development environments
Conduct architecture reviews, threat modeling, code reviews, and security assessments for new products and features
Identify, prioritize, and remediate vulnerabilities across the technology stack
Embed security into the software development lifecycle through secure coding standards, automated testing, and developer tooling
Build and improve detection, monitoring, incident response, and vulnerability management capabilities
Partner with engineering and infrastructure teams to strengthen cloud, container, network, identity, and access security
Lead or support the investigation and remediation of security incidents
Develop reusable security tooling, automation, documentation, and technical guardrails
Evaluate third-party technologies, integrations, and vendors for potential security risks
Support customer security reviews, enterprise diligence, and technical compliance requirements
Help establish security policies and controls aligned with frameworks such as SOC 2, ISO 27001, HIPAA, or PCI DSS
Mentor engineers and promote shared ownership of security across the organization
Common Qualifications
While each startup has its own hiring criteria, many Senior and Staff Security Engineer roles in our network look for:
5+ years of experience across security engineering, application security, cloud security, infrastructure security, or related disciplines
Strong software engineering or systems engineering foundation, with proficiency in languages such as Python, Go, Java, JavaScript, TypeScript, or Rust
Experience securing cloud-native applications and infrastructure on AWS, GCP, or Azure
Knowledge of common application and infrastructure vulnerabilities, attack techniques, and mitigation strategies
Experience with threat modeling, secure design reviews, penetration testing, or vulnerability research
Familiarity with identity and access management, secrets management, encryption, and network security
Experience building security automation and integrating controls into CI/CD pipelines
Ability to communicate technical risks and recommendations to engineering teams and business stakeholders
Strong judgment around risk prioritization, remediation, and balancing security with execution speed
Experience in venture-backed startups, security-sensitive industries, or rapidly scaling technology companies
💡 Technologies You Might Work With:
Languages & Development: Python, Go, Java, JavaScript, TypeScript, Rust, Bash
Cloud & Infrastructure: AWS, GCP, Azure, Kubernetes, Docker, Terraform, Linux
Application Security: SAST, DAST, software composition analysis, dependency scanning, API security, penetration testing
Detection & Response: SIEM, EDR, intrusion detection, log analysis, incident response, security orchestration
Identity & Data Security: IAM, SSO, OAuth, SAML, secrets management, key management, encryption
Security Platforms & Tools: Wiz, Snyk, Semgrep, Burp Suite, CrowdStrike, Okta, Datadog, Splunk
What Happens Next?
Submit your application to join SignalFire’s Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet? We’ll keep your profile on file for future Security Engineering roles across our portfolio.
Security Engineer (Senior/Staff) - VC Backed Startups
Join SignalFire’s Talent Network for Security Engineer (Senior/Staff) Roles at VC-Backed Startups
🛑 This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring Security Engineering talent. If you have any questions, please direct inquiries to talentnetwork@signalfire.com.
At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our portfolio spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
We’re looking to connect with exceptional Senior and Staff Security Engineers who are excited about building secure products, protecting critical systems, and establishing scalable security practices at high-growth startups.
By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.
Who Should Join?
We’re looking for engineers who are:
✔ Passionate about building secure, resilient products and infrastructure
✔ Experienced in identifying vulnerabilities and translating security risks into practical engineering solutions
✔ Excited to establish security programs and technical standards in fast-moving startup environments
✔ Comfortable partnering across engineering, product, infrastructure, and business teams
✔ Interested in balancing strong security controls with product velocity and customer needs
Typical Roles & Responsibilities
Design and implement security controls across applications, cloud infrastructure, internal systems, and development environments
Conduct architecture reviews, threat modeling, code reviews, and security assessments for new products and features
Identify, prioritize, and remediate vulnerabilities across the technology stack
Embed security into the software development lifecycle through secure coding standards, automated testing, and developer tooling
Build and improve detection, monitoring, incident response, and vulnerability management capabilities
Partner with engineering and infrastructure teams to strengthen cloud, container, network, identity, and access security
Lead or support the investigation and remediation of security incidents
Develop reusable security tooling, automation, documentation, and technical guardrails
Evaluate third-party technologies, integrations, and vendors for potential security risks
Support customer security reviews, enterprise diligence, and technical compliance requirements
Help establish security policies and controls aligned with frameworks such as SOC 2, ISO 27001, HIPAA, or PCI DSS
Mentor engineers and promote shared ownership of security across the organization
Common Qualifications
While each startup has its own hiring criteria, many Senior and Staff Security Engineer roles in our network look for:
5+ years of experience across security engineering, application security, cloud security, infrastructure security, or related disciplines
Strong software engineering or systems engineering foundation, with proficiency in languages such as Python, Go, Java, JavaScript, TypeScript, or Rust
Experience securing cloud-native applications and infrastructure on AWS, GCP, or Azure
Knowledge of common application and infrastructure vulnerabilities, attack techniques, and mitigation strategies
Experience with threat modeling, secure design reviews, penetration testing, or vulnerability research
Familiarity with identity and access management, secrets management, encryption, and network security
Experience building security automation and integrating controls into CI/CD pipelines
Ability to communicate technical risks and recommendations to engineering teams and business stakeholders
Strong judgment around risk prioritization, remediation, and balancing security with execution speed
Experience in venture-backed startups, security-sensitive industries, or rapidly scaling technology companies
💡 Technologies You Might Work With:
Languages & Development: Python, Go, Java, JavaScript, TypeScript, Rust, Bash
Cloud & Infrastructure: AWS, GCP, Azure, Kubernetes, Docker, Terraform, Linux
Application Security: SAST, DAST, software composition analysis, dependency scanning, API security, penetration testing
Detection & Response: SIEM, EDR, intrusion detection, log analysis, incident response, security orchestration
Identity & Data Security: IAM, SSO, OAuth, SAML, secrets management, key management, encryption
Security Platforms & Tools: Wiz, Snyk, Semgrep, Burp Suite, CrowdStrike, Okta, Datadog, Splunk
What Happens Next?
Submit your application to join SignalFire’s Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet? We’ll keep your profile on file for future Security Engineering roles across our portfolio.
Head of AI/ML (Director/VP) - VC Backed Startups
Join SignalFire’s Talent Network for Head of AI/ML (Director/VP) Roles at VC-Backed Startups
🛑 This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring AI and machine learning leaders. If you have any questions, please direct inquiries to talentnetwork@signalfire.com.
At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our portfolio spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
We’re looking to connect with exceptional Heads of AI/ML, including Director- and VP-level leaders, who are excited about defining AI strategy, building high-performing teams, and translating emerging technologies into differentiated products and business outcomes.
By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.
Who Should Join?
We’re looking for leaders who are:
✔ Passionate about building AI-native products and applying machine learning to meaningful customer problems
✔ Experienced in defining AI/ML strategy and leading teams from research and experimentation through production deployment
✔ Excited to partner with founders, product leaders, and engineering teams to shape company and product direction
✔ Comfortable balancing technical depth, organizational leadership, and commercial impact
Typical Roles & Responsibilities
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
Common Qualifications
While each startup has its own hiring criteria, many Head of AI/ML roles in our network look for:
10+ years of experience across machine learning, artificial intelligence, data science, or software engineering, including meaningful leadership experience
Proven experience building and scaling AI/ML teams in startup or high-growth technology environments
Track record of developing and deploying machine learning systems into production
Strong technical foundation across modern ML methods, model evaluation, data pipelines, and production infrastructure
Experience applying large language models, generative AI, deep learning, or traditional machine learning to real-world products
Ability to connect technical investments to product differentiation, customer outcomes, and business value
Experience partnering closely with product, engineering, data, and go-to-market leaders
Strong judgment around model quality, latency, cost, scalability, safety, and reliability
Ability to operate effectively across hands-on technical leadership, team management, and executive-level strategy
Advanced degree in computer science, machine learning, statistics, mathematics, or a related field may be preferred but is not always required
💡 Technologies You Might Work With:
Languages & Frameworks: Python, PyTorch, TensorFlow, JAX, scikit-learn, Hugging Face
Generative AI: Large language models, multimodal models, retrieval-augmented generation, fine-tuning, prompt engineering, agentic systems
Data & Infrastructure: Spark, Databricks, Snowflake, Kafka, Airflow, vector databases, feature stores
Cloud & MLOps: AWS, GCP, Azure, Kubernetes, Docker, MLflow, Weights & Biases, SageMaker, Vertex AI
Models & Platforms: OpenAI, Anthropic, Google, Meta, open-source foundation models, proprietary model architectures
What Happens Next?
Submit your application to join SignalFire’s Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet? We’ll keep your profile on file for future AI and machine learning leadership roles across our portfolio.
Head of AI/ML (Director/VP) - VC Backed Startups
Join SignalFire’s Talent Network for Head of AI/ML (Director/VP) Roles at VC-Backed Startups
🛑 This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring AI and machine learning leaders. If you have any questions, please direct inquiries to talentnetwork@signalfire.com.
At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our portfolio spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
We’re looking to connect with exceptional Heads of AI/ML, including Director- and VP-level leaders, who are excited about defining AI strategy, building high-performing teams, and translating emerging technologies into differentiated products and business outcomes.
By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.
Who Should Join?
We’re looking for leaders who are:
✔ Passionate about building AI-native products and applying machine learning to meaningful customer problems
✔ Experienced in defining AI/ML strategy and leading teams from research and experimentation through production deployment
✔ Excited to partner with founders, product leaders, and engineering teams to shape company and product direction
✔ Comfortable balancing technical depth, organizational leadership, and commercial impact
Typical Roles & Responsibilities
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
Common Qualifications
While each startup has its own hiring criteria, many Head of AI/ML roles in our network look for:
10+ years of experience across machine learning, artificial intelligence, data science, or software engineering, including meaningful leadership experience
Proven experience building and scaling AI/ML teams in startup or high-growth technology environments
Track record of developing and deploying machine learning systems into production
Strong technical foundation across modern ML methods, model evaluation, data pipelines, and production infrastructure
Experience applying large language models, generative AI, deep learning, or traditional machine learning to real-world products
Ability to connect technical investments to product differentiation, customer outcomes, and business value
Experience partnering closely with product, engineering, data, and go-to-market leaders
Strong judgment around model quality, latency, cost, scalability, safety, and reliability
Ability to operate effectively across hands-on technical leadership, team management, and executive-level strategy
Advanced degree in computer science, machine learning, statistics, mathematics, or a related field may be preferred but is not always required
💡 Technologies You Might Work With:
Languages & Frameworks: Python, PyTorch, TensorFlow, JAX, scikit-learn, Hugging Face
Generative AI: Large language models, multimodal models, retrieval-augmented generation, fine-tuning, prompt engineering, agentic systems
Data & Infrastructure: Spark, Databricks, Snowflake, Kafka, Airflow, vector databases, feature stores
Cloud & MLOps: AWS, GCP, Azure, Kubernetes, Docker, MLflow, Weights & Biases, SageMaker, Vertex AI
Models & Platforms: OpenAI, Anthropic, Google, Meta, open-source foundation models, proprietary model architectures
What Happens Next?
Submit your application to join SignalFire’s Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet? We’ll keep your profile on file for future AI and machine learning leadership roles across our portfolio.
Forward Deployed Engineer (FDE) - VC Backed Startups
Join SignalFire’s Talent Network for Forward Deployed Engineer Roles at VC-Backed Startups
🛑 This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring Forward Deployed Engineering talent. If you have any questions, please direct inquiries to talentnetwork@signalfire.com.
At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our portfolio spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
We’re looking to connect with exceptional Forward Deployed Engineers who are excited about working directly with customers to solve complex technical problems, deploy production-ready solutions, and shape how emerging technologies are implemented in real-world environments.
By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.
Who Should Join?
We’re looking for engineers who are:
✔ Passionate about solving complex customer problems through software and technical implementation
✔ Excited to work at the intersection of engineering, product, and customer success
✔ Comfortable operating in ambiguous, fast-moving startup environments
✔ Interested in translating customer requirements into scalable technical solutions
✔ Strong communicators who can partner effectively with both technical and non-technical stakeholders
Typical Roles & Responsibilities
Partner directly with customers to understand their workflows, technical environments, and business requirements
Design, build, and deploy production-ready solutions using the company’s core platform or APIs
Develop custom integrations, applications, and technical workflows tailored to customer needs
Troubleshoot complex 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 that improve delivery across customers
Support pilots and proofs of concept while helping customers move successfully into production
Identify recurring customer needs that can inform product strategy and roadmap priorities
Common Qualifications
While each startup has its own hiring criteria, many Forward Deployed Engineer roles in our network look for:
3+ years of experience in software engineering, solutions engineering, technical consulting, or a similar customer-facing technical role
Strong coding skills in languages such as Python, JavaScript or TypeScript, Java, Go, or C++
Experience building APIs, integrations, data pipelines, or production applications
Familiarity with cloud platforms such as AWS, GCP, or Azure
Ability to understand customer requirements and translate them into practical technical solutions
Strong debugging, systems thinking, and problem-solving skills
Experience working with technical and non-technical stakeholders
Comfort managing multiple customer deployments or technical workstreams simultaneously
Willingness to travel periodically, depending on the company and customer environment
💡 Technologies You Might Work With:
Languages & Frameworks: Python, JavaScript, TypeScript, React, Node.js, Java, Go, C++
Data & Infrastructure: PostgreSQL, Snowflake, Databricks, Kafka, Spark, Redis, Elasticsearch
Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Terraform, GitHub Actions
AI & Machine Learning: Large language models, retrieval-augmented generation, model APIs, vector databases, machine learning pipelines
Integrations & Tools: REST APIs, GraphQL, webhooks, enterprise data systems, CRM and ERP platforms
What Happens Next?
Submit your application to join SignalFire’s Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet? We’ll keep your profile on file for future Forward Deployed Engineer roles across our portfolio.
Forward Deployed Engineer (FDE) - VC Backed Startups
Join SignalFire’s Talent Network for Forward Deployed Engineer Roles at VC-Backed Startups
🛑 This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring Forward Deployed Engineering talent. If you have any questions, please direct inquiries to talentnetwork@signalfire.com.
At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our portfolio spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
We’re looking to connect with exceptional Forward Deployed Engineers who are excited about working directly with customers to solve complex technical problems, deploy production-ready solutions, and shape how emerging technologies are implemented in real-world environments.
By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.
Who Should Join?
We’re looking for engineers who are:
✔ Passionate about solving complex customer problems through software and technical implementation
✔ Excited to work at the intersection of engineering, product, and customer success
✔ Comfortable operating in ambiguous, fast-moving startup environments
✔ Interested in translating customer requirements into scalable technical solutions
✔ Strong communicators who can partner effectively with both technical and non-technical stakeholders
Typical Roles & Responsibilities
Partner directly with customers to understand their workflows, technical environments, and business requirements
Design, build, and deploy production-ready solutions using the company’s core platform or APIs
Develop custom integrations, applications, and technical workflows tailored to customer needs
Troubleshoot complex 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 that improve delivery across customers
Support pilots and proofs of concept while helping customers move successfully into production
Identify recurring customer needs that can inform product strategy and roadmap priorities
Common Qualifications
While each startup has its own hiring criteria, many Forward Deployed Engineer roles in our network look for:
3+ years of experience in software engineering, solutions engineering, technical consulting, or a similar customer-facing technical role
Strong coding skills in languages such as Python, JavaScript or TypeScript, Java, Go, or C++
Experience building APIs, integrations, data pipelines, or production applications
Familiarity with cloud platforms such as AWS, GCP, or Azure
Ability to understand customer requirements and translate them into practical technical solutions
Strong debugging, systems thinking, and problem-solving skills
Experience working with technical and non-technical stakeholders
Comfort managing multiple customer deployments or technical workstreams simultaneously
Willingness to travel periodically, depending on the company and customer environment
💡 Technologies You Might Work With:
Languages & Frameworks: Python, JavaScript, TypeScript, React, Node.js, Java, Go, C++
Data & Infrastructure: PostgreSQL, Snowflake, Databricks, Kafka, Spark, Redis, Elasticsearch
Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Terraform, GitHub Actions
AI & Machine Learning: Large language models, retrieval-augmented generation, model APIs, vector databases, machine learning pipelines
Integrations & Tools: REST APIs, GraphQL, webhooks, enterprise data systems, CRM and ERP platforms
What Happens Next?
Submit your application to join SignalFire’s Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet? We’ll keep your profile on file for future Forward Deployed Engineer roles across our portfolio.
Staff Product Manager - VC Backed Startups
Join SignalFire’s Talent Network for Staff Product Manager Roles at VC-Backed Startups
🛑 This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring PMs. If you have any questions, please direct inquiries to talentnetwork@signalfire.com.
At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
We’re looking to connect with exceptional Staff Product Managers who are excited about owning product strategy, leading cross-functional execution, and scaling innovative products at high-growth startups. By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.
Who Should Join?
We’re looking for product leaders who are:
✔ Passionate about driving product strategy and execution for high-impact initiatives
✔ Experienced in owning roadmaps, feature development, and cross-functional alignment
✔ Excited to work closely with engineering, design, and go-to-market teams to scale products
Typical Roles & Responsibilities
Define and execute product strategy, roadmap, and prioritization frameworks
Drive end-to-end product development from ideation to launch, ensuring high-quality execution
Partner with engineering, design, and go-to-market teams to align product vision with business goals
Use data, user research, and competitive analysis to drive informed product decisions
Own KPIs and success metrics, optimizing for engagement, retention, and revenue growth
Develop and implement A/B testing, experimentation, and continuous iteration processes
Act as a thought leader within the company, mentoring junior PMs and influencing company-wide strategy
Collaborate with founders and executives on long-term product vision and expansion opportunities
Common Qualifications
While each startup has its own hiring criteria, many staff product manager roles in our network look for:
5+ years of experience in product management, preferably in a fast-paced startup environment
Strong track record of leading and delivering successful products in B2B, B2C, or SaaS
Expertise in roadmap ownership, feature prioritization, and product execution methodologies
Strong analytical mindset, with experience using SQL, Looker, Tableau, Amplitude, Mixpanel, or Google Analytics
Deep understanding of UX/UI principles, user research, and design thinking
Experience working with agile development methodologies and cross-functional teams
Proven ability to mentor and lead product teams while staying hands-on in execution
Experience in AI, fintech, marketplaces, developer tools, or SaaS is a plus
💡 Tools & Technologies You Might Work With:
Product Management & Analytics: Jira, Asana, Trello, Notion, Amplitude, Mixpanel, Google Analytics
Design & Prototyping: Figma, Sketch, Adobe XD, Framer, InVision
Collaboration & Documentation: Slack, Notion, Confluence, Miro, Loom
Data & Experimentation: SQL, Looker, Tableau, A/B Testing Platforms
What Happens Next?
Submit your application to join SignalFire’s Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet? We’ll keep your profile on file for future product management roles in our portfolio.
Staff Product Manager - VC Backed Startups
Join SignalFire’s Talent Network for Staff Product Manager Roles at VC-Backed Startups
🛑 This is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring PMs. If you have any questions, please direct inquiries to talentnetwork@signalfire.com.
At SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.
We’re looking to connect with exceptional Staff Product Managers who are excited about owning product strategy, leading cross-functional execution, and scaling innovative products at high-growth startups. By joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.
Who Should Join?
We’re looking for product leaders who are:
✔ Passionate about driving product strategy and execution for high-impact initiatives
✔ Experienced in owning roadmaps, feature development, and cross-functional alignment
✔ Excited to work closely with engineering, design, and go-to-market teams to scale products
Typical Roles & Responsibilities
Define and execute product strategy, roadmap, and prioritization frameworks
Drive end-to-end product development from ideation to launch, ensuring high-quality execution
Partner with engineering, design, and go-to-market teams to align product vision with business goals
Use data, user research, and competitive analysis to drive informed product decisions
Own KPIs and success metrics, optimizing for engagement, retention, and revenue growth
Develop and implement A/B testing, experimentation, and continuous iteration processes
Act as a thought leader within the company, mentoring junior PMs and influencing company-wide strategy
Collaborate with founders and executives on long-term product vision and expansion opportunities
Common Qualifications
While each startup has its own hiring criteria, many staff product manager roles in our network look for:
5+ years of experience in product management, preferably in a fast-paced startup environment
Strong track record of leading and delivering successful products in B2B, B2C, or SaaS
Expertise in roadmap ownership, feature prioritization, and product execution methodologies
Strong analytical mindset, with experience using SQL, Looker, Tableau, Amplitude, Mixpanel, or Google Analytics
Deep understanding of UX/UI principles, user research, and design thinking
Experience working with agile development methodologies and cross-functional teams
Proven ability to mentor and lead product teams while staying hands-on in execution
Experience in AI, fintech, marketplaces, developer tools, or SaaS is a plus
💡 Tools & Technologies You Might Work With:
Product Management & Analytics: Jira, Asana, Trello, Notion, Amplitude, Mixpanel, Google Analytics
Design & Prototyping: Figma, Sketch, Adobe XD, Framer, InVision
Collaboration & Documentation: Slack, Notion, Confluence, Miro, Loom
Data & Experimentation: SQL, Looker, Tableau, A/B Testing Platforms
What Happens Next?
Submit your application to join SignalFire’s Talent Ecosystem.
We review applications on an ongoing basis to identify strong candidates.
If there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.
No match yet? We’ll keep your profile on file for future product management roles in our portfolio.
The full posting opens here — pay, setting and the full description, without leaving the list.