Forward Deployed Engineer at Rogo

New York, New York, United States

Rogo Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial ServicesIndustries

Requirements

  • 5-7+ years of professional software engineering experience, ideally in customer-facing roles at a product-driven technology company
  • Proven experience building and shipping production-grade backend services in languages like Java, Go, or Python
  • Demonstrated expertise in designing, deploying, and managing scalable and secure infrastructure in a major cloud environment (AWS, Azure, GCP)
  • Practical experience with container orchestration (Kubernetes) and Infrastructure as Code (IaC) tooling
  • Bachelor’s degree in Computer Science, Information Technology, or a related field
  • Thrive in fast-paced environments; high-intensity and care deeply about work; ecstatic to work at a startup
  • Ambitious; enjoy solving impossible problems
  • Curious; find joy in learning about AI, technology, and finance
  • Owner mindset: autonomous, self-directed, comfortable with ambiguity
  • Collaborative, organized, and thoughtful

Responsibilities

  • Work with customers and other Rogo Engineers to design and implement scalable solutions that solve their most difficult problems
  • Design abstractions to solve customer problems and scale speed and quality of delivery across Forward Deployed engagements
  • Collaborate closely with Sales, Solutions Architects, and Customer Success Managers to deploy Rogo’s specialized AI infrastructure
  • Work with Research and Product teams to provide insightful customer feedback
  • Act as a trusted technical advisor by embedding with strategic customers to understand their business challenges, workflows, and technical requirements
  • Architect and develop scalable, data-intensive applications and robust abstractions that solve customer-specific issues and can be scaled across the customer base
  • Liaise between customers and core engineering teams to facilitate customer-specific solutions
  • Own the end-to-end infrastructure lifecycle for customer Rogo deployments, from initial provisioning and configuration to production optimization
  • Maintain Terraform modules, Helm charts, and automation scripts to deploy and manage bespoke Rogo Kubernetes clusters adhering to customer security and compliance requirements
  • Act as the voice of the customer to core engineering and research teams, shaping the product roadmap
  • Partner with Sales during late sales cycle stages to lead technical validation and architect proofs-of-concept for strategic prospects
  • Collaborate with Solutions Architects and Customer Success Managers for seamless transition from pre-sales to post-sales and long-term customer value

Skills

Kubernetes
Cloud Infrastructure
Container Orchestration
Monitoring Tools
APIs

Rogo

Generative AI platform for financial institutions

About Rogo

Rogo provides a secure generative AI platform tailored for elite financial institutions, including investment banks, hedge funds, and asset management companies. The platform utilizes advanced large language models to search, analyze, and cite millions of documents, significantly reducing the time spent on manual research. This allows junior team members to focus on more valuable tasks while enabling executives to quickly access critical information. Rogo's business model centers on customizing its AI solutions to meet the specific needs of each client, ensuring that the platform understands the unique language and data of their operations. Revenue is generated through subscription fees and additional services like customization and support. The main goal of Rogo is to enhance productivity and decision-making in financial institutions, helping them save time, improve insights, and automate workflows.

New York City, New YorkHeadquarters
2021Year Founded
$29.2MTotal Funding
SERIES_ACompany Stage
Fintech, AI & Machine LearningIndustries
11-50Employees

Risks

Increased competition from established fintech companies like Palantir and Bloomberg.
Potential over-reliance on third-party data providers like Quartr.
Regulatory scrutiny on AI-driven financial platforms is intensifying.

Differentiation

Rogo offers a bespoke AI solution tailored to each financial institution's needs.
The platform integrates and analyzes data from both internal and external sources.
Rogo's AI can search, analyze, and cite millions of documents efficiently.

Upsides

Rogo raised $18.5M in Series A funding led by Khosla Ventures.
Partnership with Quartr enhances Rogo's analysis tools for investment bankers.
Rogo's AI automates workflows, saving time and improving decision-making.

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