Vannevar Labs

Software Engineering Manager, Machine Learning Platform

Remote

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Defense, AI & Machine Learning, Data EngineeringIndustries

Requirements

The ideal candidate will have over 3 years of experience leading platform engineering teams and over 5 years of experience as a backend, data, or search engineer. Strong technical expertise in building ETL pipelines, data warehousing, and designing APIs is essential. The role requires the ability to deliver scalable and reliable platform solutions for diverse data types, high ethical standards for handling sensitive data, and proficiency in Python, TypeScript, PostgreSQL, Elasticsearch, and cloud services like AWS. Willingness to travel approximately 4 weeks per year and excellent communication, teamwork, and project ownership skills are also necessary.

Responsibilities

The Software Engineering Manager will lead a team responsible for structuring multimodal datasets and providing access patterns for internal developers, including multi-media semantic search, entity search, and relational data primitives. Key duties include designing and building scalable data pipelines, warehouses, and search capabilities, identifying opportunities to improve developer experience and time-to-market, and collaborating closely with engineers, DevOps, and product engineering teams. The manager will also develop and lead a strong cross-functional team that partners with developers across the organization.

Skills

Data Pipelines
Data Warehousing
APIs
Machine Learning Platform
Data Platform Engineering
Multimodal Datasets
Semantic Search
Entity Search
Relational Data Primitives
Scalable Data Pipelines
Reliable Data Pipelines

Vannevar Labs

Advanced data collection for national security

About Vannevar Labs

Vannevar Labs enhances national security by providing advanced data collection and analysis tools primarily for government agencies and defense contractors. Their main product, Decrypt, simplifies the process of gathering public data from hard-to-reach sources while ensuring secure and anonymous data collection. This platform decentralizes data collection, pulling information from various global sources without requiring user interaction, using layered obfuscation methods to protect data integrity and user identities. Decrypt's open architecture allows for quick integration with other applications, making it adaptable to various needs. Vannevar Labs operates on a subscription-based model, charging clients for access to Decrypt, which ensures a steady revenue stream. The company's goal is to leverage technology to improve national security and maintain its reputation as a trusted provider in the defense sector.

Palo Alto, CaliforniaHeadquarters
2019Year Founded
$89MTotal Funding
SERIES_BCompany Stage
Data & Analytics, DefenseIndustries
51-200Employees

Risks

Increased competition from Palantir Technologies in the defense sector.
Potential regulatory scrutiny over data privacy and AI ethics.
Dependence on government contracts vulnerable to budget and political changes.

Differentiation

Vannevar Labs integrates advanced NLP and computer vision for national security solutions.
Decrypt platform decentralizes data collection, ensuring secure and anonymous data gathering.
Open architecture allows Decrypt to integrate with government and commercial applications.

Upsides

Raised $75M in Series B funding, boosting product development and expansion.
Decrypt deployed across 15 key government agencies, generating $25M in sales.
Growing demand for AI-driven cybersecurity aligns with Vannevar Labs' offerings.

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