[Remote] Product Security Tech Lead at TetraScience

United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Software, AI, DataIndustries

Requirements

Bachelor's degree in computer science or another equivalent degree
8+ years of hands-on experience in Application, Cloud, or Product Security roles, with lead or staff-level responsibilities
Deep expertise in AWS security architecture and service hardening
Advanced programming and scripting ability in Python (Bash or Go a plus)
Proven experience with offensive security: hacking, exploit analysis, or red team operations
Strong foundation in vulnerability management, threat modeling, and incident response
Proficient with DevSecOps tools and modern CI/CD environments
Familiarity with container and orchestration security (Docker, Kubernetes, EKS)
Certifications such as AWS Certified Security – Specialty, OSCP, or CISSP are a big plus

Responsibilities

Own and evolve the organization’s entire application security posture, with a focus on application and cloud security across all product lines
Perform offensive and defensive security assessments — threat modeling, code review, penetration testing, and vulnerability exploitation
Build and integrate automated security tooling (SAST, DAST, dependency scanning, IaC scanning) into CI/CD pipelines
Develop security automation and internal tooling using Python, Bash, or Go
Partner with Engineering, DevOps, and Infrastructure teams to ensure secure AWS architectures (VPC, IAM, KMS, GuardDuty, CloudTrail, WAF)
Oversee incident response and root cause analysis for product and infrastructure-level security events
Define and enforce secure coding standards, and lead threat modeling sessions for critical features and services
Continuously hunt for vulnerabilities, test assumptions, and “break things safely” to strengthen the platform

Skills

Key technologies and capabilities for this role

AWSPythonApplication SecurityCloud SecuritySecurity EngineeringCI/CDVulnerability ManagementSecure Infrastructure

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is fully remote.

What technical skills are required for the Product Security Tech Lead role?

The role requires deep technical expertise across AWS, Python, and application & cloud security, along with skills in building security automation using Python, Bash, or Go.

What does the company emphasize about its culture and values?

TetraScience emphasizes alignment with 'The Tetra Way' letter by the CEO, which candidates must review to ensure fit, and expects employees to embody its contents daily as part of their unique approach to company and team building.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Product Security Tech Lead position?

A strong candidate will have a hacker’s curiosity and a builder’s discipline, deep expertise in AWS, Python, and security practices, hands-on experience leading security engineering, and the ability to lead by doing through hacking, breaking, and building resilient systems.

TetraScience

Cloud platform for scientific data management

About TetraScience

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Boston, MassachusettsHeadquarters

2019Year Founded

$113.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

51-200Employees

Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.

Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.

International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.

The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.

TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.

Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.

Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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