Actively AI

Actively helps outbound-driven revenue teams increase pipeline quality and close more deals by applying AI-driven decisioning to go-to-market activities. The company trains custom deep reasoning…

Custom AI ModelsData-Driven SalesEnterprise SaaSGTMPipeline GenerationRevenue OptimizationSales DevelopmentSuperintelligenceactively.ai

Actively AI

Actively helps outbound-driven revenue teams increase pipeline quality and close more deals by applying AI-driven decisioning to go-to-market activities. The company trains custom deep reasoning…

Custom AI ModelsData-Driven SalesEnterprise SaaSGTMPipeline GenerationRevenue OptimizationSales DevelopmentSuperintelligenceactively.ai

HQNew York City, US

Team Size48

Open Jobs34

Total Funding$18M

Latest Fundraiselast year

TL;DR

What they do: AI-driven Per-Account Agents for enterprise GTM/sales to surface risks, opportunities, and execution steps

Founded: 2022

Founders: Mihir Garimella; Anshul Gupta

Headquarters: New York

Known funding: $22M–$22.5M reported (seed + Series A)

Company Overview

Problem Domain

Sales / go-to-market intelligence and automation for enterprise revenue teams

Founded

2022

Industry

Software Development

Funding Track Record

Seed

$5M reported

Previously disclosed seed round reported alongside later coverage

Series A- 2025-04-02

$17.5M reported

Series A reported in April 2025

Investor Signal

“Bain Capital Ventures, First Round Capital, Ali Rowghani, and other institutional and angel investors reported”

Founders

What we do

Join the Team

Senior / Staff Software Engineer (Data Platform)

HybridNew York, NY, US

Hybrid • New York, NY, US

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About Actively AI Our thesis is that businesses of the future will be powered by agentic human-in-loop-machines that make every business function 10x more efficient.

Actively AI is building that superintelligent machine for Enterprise GTM organizations, focused on increasing productivity per rep. We power the day-to-day for outbound teams at dozens of companies like Samsara, Ramp, Verkada, and Ironclad.

Why does this matter? Because revenue is the ultimate fuel for businesses. The hundreds of millions of dollars we generate for our customers enables them to employ more people, innovate faster, and deliver more value to their customers.

In addition to top-notch customers that love our product, our team is incredibly high caliber - the co-founders are former Stanford AI researchers and the engineering team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We're also backed by top investors, including Bain Capital Ventures, First Round Capital (seed investors in Uber, Square, Roblox, Clearbit), Lachy Groom, and Stanford AI faculty.

We have a very ambitious product and scaling roadmap, there’s strong market interest in what we are doing, and it’s time to put the foot on the gas. If you get excited by the thought of working really hard on these kinds of problems with a high caliber team, then Actively AI is the right place for you.

About the Role We’re looking for a Senior/Staff Data Platform Engineer to build and scale the foundation of Actively’s data ecosystem — the pipelines, transformations, and infrastructure that power every agent, insight, and workflow across the company.

You’ll design systems that take in vast amounts of raw, often inconsistent data from many sources and turn it into structured, reliable information that Actively’s agents can reason over in real time. These systems will need to support diverse data shapes — from structured CRM tables to unstructured transcripts, documents, and external signals — and handle both high-volume throughput and nuanced customer-specific variations.

This role combines data architecture and infrastructure engineering at scale. You’ll build modular, schema-aware systems that are flexible enough to adapt to new data types and customer configurations, yet opinionated enough to stay consistent and maintain data quality. As the platform grows, you’ll ensure it remains performant, observable, and ready to serve increasingly complex workloads across thousands of accounts being operated by agents.

What You’ll Do

Design and scale core data pipelines that process and transform high-volume structured and unstructured data into reliable, ready-to-use data models.
Build data infrastructure for scale — ensuring performance, reliability, and flexibility as customer volumes and use cases expand.

Who You Are

Why Join It’s not often that you can get in on the ground floor of a well-funded startup that’s scaling very fast. That means that instead of following a playbook, you’ll be writing it. Every single day you will be challenged to identify how we can scale and execute on it. You’ll learn what works when you succeed and what doesn’t when you fail. You'll also be in the trenches with an incredibly high caliber, low-ego group of people that are obsessed with building something great.

Benefits

🚀 Competitive Early-Stage Equity
⚕ Health, Dental, Vision Coverage
💡 Unlimited PTO + Recharge Days
🍽️ Catered Lunch on Tuesday & Friday w/ Dinners Everyday!
🍿 Fully Stock Kitchen
💻 Cutting-Edge Tech & Tools
🌴 Annual Off-sites & Monthly Events
🚆 Commuter Benefits
🏢 Cozy Office in NYC

The base salary range for this full-time position based in New York is: $160,000 - $200,000. Note on Pay Transparency: Actively AI provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Actively AI factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Actively AI leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting.

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Develop modular transformation frameworks that handle diverse data types and customer-specific schemas while maintaining consistency and quality.

Architect real-time and mini-batch workflows using technologies like Pub/Sub, Kafka, or modern ETL tools to keep data fresh and synchronized.

Work across the data stack — from ingestion and storage to orchestration and serving — using tools such as Python, SQL, DBT, and BigQuery/Snowflake.

Drive data excellence — define best practices around observability, lineage, schema management, and governance to maintain trust in every dataset.

A data platform builder. You have 5+ years of experience designing and scaling core data systems — from ingestion and transformation to serving and observability — in high-growth or product-focused environments.

Startup-proven or product-platform experience. You’ve either built a data platform from the ground up at an early-stage company or worked at a data-focused product company (e.g. Segment, dbt Labs) scaling systems across many customers.

Experience across the modern data stack. Proficient in Python, SQL, and DBT, with hands-on experience in BigQuery, Snowflake or equivalent systems, and familiar with ETL and orchestration tools like Fivetran, Airflow, or Polytomic.

Fluent in real-time data systems. Comfortable building streaming or mini-batch pipelines with Pub/Sub, Kafka, Dataflow or similar event-driven technologies.

Applied intelligence mindset. You’ve worked on data systems powering ML models, intelligent workflows, or real-time decisioning, not just analytics or reporting.

Strong Ownership. You take ownership from design to deployment, ensuring data systems are stable, observable, and performant in production.

Driven by clarity and impact. You make data easier to use — turning complexity into simple, reliable systems that other teams can confidently build on top of.

reserves the right to modify this information at any time, subject to applicable law.

Actively AI is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Actively AI is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.