Pocus

Product Engineer, Applied AI

San Francisco, California, United States

Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Software Development, Sales Enablement TechnologyIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field, and have at least 3 years of experience in building and deploying AI systems, with a strong understanding of large language models (LLMs) and their application in data processing. Experience with TypeScript and GraphQL is highly desirable, along with familiarity with cloud platforms like AWS and data warehousing technologies such as Clickhouse and Presto.

Responsibilities

As an Applied AI Engineer, you will build agentic AI systems end-to-end, architect and implement intelligent agents that extract insights from fragmented data sources, engineer an extensible AI platform including a flexible data ingestion layer, a semantic enrichment engine, a query engine, and a workflow orchestration layer, prototype and iterate quickly on new features, and prioritize security and reliability when handling sensitive customer data.

Skills

AI agent development
Data ingestion
LLMs (Large Language Models)
Semantic enrichment
Data transformation
Workflow automation
Low-latency querying
System architecture
Extensible platform engineering

Pocus

Revenue data platform for GTM teams

About Pocus

Pocus offers a Revenue Data Platform that provides businesses with insights into customer and product usage data, specifically for go-to-market (GTM) teams like sales and marketing. The platform allows these teams to analyze data without needing developers, helping them identify revenue opportunities and manage customer churn effectively. Pocus differentiates itself by providing a centralized system that keeps all tools synchronized, making it easier for teams to work together. The goal of Pocus is to empower businesses to accelerate revenue through actionable data insights and improved customer relationships.

San Francisco, CaliforniaHeadquarters
2021Year Founded
$22.4MTotal Funding
SERIES_ACompany Stage
Data & Analytics, Enterprise SoftwareIndustries
11-50Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Wellness Program
401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Home Office Stipend

Risks

Emerging competitors like Correlated and Endgame threaten Pocus's market share.
Data privacy regulations may increase Pocus's operational costs.
Economic downturns could reduce client spending on Pocus's platform.

Differentiation

Pocus offers a no-code platform for non-technical teams to manage data independently.
It provides a 360-degree view of product usage for go-to-market teams.
Pocus democratizes data access, bridging gaps between technical and non-technical teams.

Upsides

Increased demand for no-code platforms aligns with Pocus's offerings.
The rise of product-led growth strategies boosts demand for Pocus's insights.
Remote work trends increase the need for Pocus's digital unification tools.

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