Delivering trusted financial data across 5,000+ global tickers that powers AI agents, LLMs, and leading financial institutions worldwide.
Analysts at the top investment firms use our workflow solutions to save valuable time and accelerate their decision making.
We also provide the core AI data infrastructure that underpins the best financial agents and are the partner of choice for the leading global AI companies, including OpenAI and Anthropic.
Get in touch at hello@daloopa.com.

Daloopa

Browse and apply for open jobs at Daloopa.

product-manager

Daloopa is a financial data and AI-powered model automation company providing high-quality, audited fundamental data and tools that integrate with Excel and AI agents. It supplies a Model Context Protocol (MCP) and API access to over 5,000 global tickers, extracted via proprietary AI parsing from filings, presentations, press releases and transcripts, with hyperlink auditability and >99% accuracy. Daloopa's products (Copilot, Updater, Scout, Cloud, MCP) enable rapid model building, automated updates, and LLM integration for financial institutions, hedge funds, private equity, and corporate finance teams.

Delivering trusted financial data across 5,000+ global tickers that powers AI agents, LLMs, and leading financial institutions worldwide.

Analysts at the top investment firms use our workflow solutions to save valuable time and accelerate their decision making. We also provide the core AI data infrastructure that underpins the best financial agents and are the partner of choice for the leading global AI companies, including OpenAI and Anthropic.

Get in touch at hello@daloopa.com.

• Own the Scout product roadmap, direction, sequencing, and alignment with company objectives
• Define analyst workflows end-to-end across modeling, comps, and research
• Work directly with engineering and design daily
• Write actionable specifications and participate in technical design discussions
• Make real-time product decisions as new constraints emerge
• Drive repeat usage and durable retention around the quarterly earnings cycle
• Define healthy engagement metrics, instrument the product, and increase repeat behavior
• Evaluate AI output quality through evaluation frameworks and accuracy and confidence standards
• Conduct analyst discovery through user interviews and workflow observation
• Enable sales and customer success teams with product context
• Stay close to the field and identify product issues
• Prototype and pressure-test ideas using AI tools
• Validate or reject hypotheses with customers before consuming engineering resources

Senior Product Manager

Senior Product Manager owning Scout, Daloopa’s AI-powered analyst workflow product. Shaping roadmap, AI quality, user engagement, and retention for investment research teams.

product-designer

• Lead end-to-end design for complex, high-impact product areas from problem framing through shipped experience
• Partner with Product Managers and engineers to shape roadmaps and define product vision using evidence-based design
• Translate business goals, customer insights, and technical constraints into simple user experiences
• Design information architecture for dense financial and configuration data
• Design interaction patterns for AI-assisted workflows, command-based search, and handoffs across web, Excel, and agent surfaces
• Conduct strategic research with institutional investors and internal users
• Set UX and visual quality standards across product areas
• Contribute to Daloopa’s design system and reusable patterns
• Rapidly prototype 0-to-1 concepts to validate ideas before engineering investment
• Own multiple parallel projects within a single product team
• Provide clarity in ambiguous problem and solution spaces
• Lead product design for Hub, Daloopa’s web workspace for institutional research analysts
• Contribute design work to DiamondGate, the internal provisioning platform

Senior Product Designer

Senior Product Designer shaping Hub, Daloopa’s AI-powered workspace for institutional research analysts. Designing dense financial-data workflows across web, Excel, agent, and admin surfaces.

full-stack-engineer

• Design, develop, and maintain secure, scalable backend APIs and services using Python, Django, and FastAPI for enterprise customers
• Build LLM pipelines, write evaluations, and iterate on prompting strategies and model outputs to improve quality and reliability
• Implement LLM observability, monitoring, and evaluation systems to track model performance, latency, and cost
• Design efficient and scalable database schemas, optimize SQL queries, and maintain data integrity at scale
• Collaborate with product, frontend, and data/AI teams to translate requirements into well-architected technical solutions
• Participate in code reviews and contribute to high coding standards and best practices
• Build systems and AI-powered features that are reliable, accurate, trusted by customers, and improved over time
• Challenge assumptions, tighten requirements, and turn ambiguous problems into durable solutions
• Act as a thought partner and reviewer for teammates
• Engage with executives and clients, work through implementation processes, and turn ideas into solutions

Senior Software Engineer

Senior Software Engineer building Python backend services and LLM features for Daloopa’s AI-powered financial data platform.
Improving reliability, observability, and accuracy for investment research workflows.

Delivering trusted financial data across 5,000+ global tickers that powers AI agents, LLMs, and leading financial institutions worldwide. Analysts at the top investment firms use our workflow solutions to save valuable time and accelerate their decision making. We also provide the core AI data infrastructure that underpins the best financial agents and are the partner of choice for the leading global AI companies, including OpenAI and Anthropic. Get in touch at hello@daloopa.com.

Daloopa

About the company

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3 jobs found

Senior Product Manager

Daloopa

Senior Product Designer

Daloopa

Senior Software Engineer

Daloopa