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Human-agent collaboration for long-running agents

actively.ai
7 points·by gtmtg·9개월 전·1 comments

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gtmtg
·작년·discuss
Actively AI | Onsite (NYC) | Full-Time | https://www.actively.ai

Actively is building superintelligence for GTM teams that tells sales reps what to do every day (which prospects to contact, when, and what to say) to maximize revenue. We train custom reasoning agents to think like a company’s best sales reps, and then use them to evaluate millions of datapoint about every single prospect account in the company’s TAM to identify the optimal actions to take.

Our customers include some of the fastest-growing companies in the world (Ramp, Verkada, Justworks, Ironclad, etc.), for whom we’ve driven hundreds of millions of dollars in added revenue in the past year. We’re growing incredibly quickly ourselves (10x revenue in the past <year), have raised tens of millions of dollars from top investors, work in person in NYC, and are looking for exceptionally talented folks to join the team and own large parts of what are building - across every role but we'd be especially excited to talk if you're excited to build AI agents!

Feel free to reach out to me directly (I'm one of the founders): mihir [at] actively.ai :)
gtmtg
·2년 전·discuss
Actively | Software Engineers (LLM/backend/data infra, very product-y) & Forward Deployed Engineers (great data/SQL chops, great at understanding customer problems, and strong engineer in general to automate work using LLMs/internal tools) | Full-time | NYC | Onsite

I'm one of the founders of Actively. We're building best-in-class machine learning and LLM-powered scoring for outbound sales teams. Our first product lives in Salesforce, ingests data from a variety of sources (firmographics, intent signals, marketing interactions, and prior engagement, including unstructured call transcripts, email chains, and notes), and combines LLMs with structured models to tell sales reps who they should reach out to each day (and why) to be laser-focused.

Our paying customers are fast-growing unicorns you've definitely heard of with large outbound sales motions, where the reps use us to target their outbound every day. Our thesis is that scoring (a known/"need to have" part of the stack -- but able to be done 10x better with LLMs because you can incorporate the goldmine of unstructured engagement data) is the right wedge into building the intelligence-driven outbound sales stack of the future that _actually works_ for large companies that need to generate millions of dollars in pipeline each quarter. Unlike most other companies in the space, we are explicitly building for companies of this scale and have them using our product today "in production." We have a 100% close rate from pilot → paying customer and want to scale our customer base aggressively this year.

We started with the vision of bringing AI to every business team, and have since narrowed down to focus on outbound sales teams who have a bunch of attractive properties (there are a _ton_ of them out there, they all use the same stack, the data is consolidated in one place, lift is measurable and directly touches the top line, etc.).

We're a small team from Scale/Waymo/Google/etc. (including some very senior folks) working in-person in NYC and looking to bring on a couple more engineers as we start scaling our customer base, in both product engineering & forward deployed engineering roles. If you have at least a few years of experience, are highly entrepreneurial / excited to work closely with customers + dig in across the business, and are excited to work on some combination of LLMs/data infra/across the stack, we would love to chat: mihir [at] actively.ai!

Keywords: AI, ML, LLMs, machine learning, Salesforce, explainable AI, product engineering, SQL, forward deployed engineering, solutions engineering, data infrastructure
gtmtg
·3년 전·discuss
Actively | Software Engineers (LLM/backend/data infra, very product-y) & Solutions Engineers (great data/SQL chops, great at understanding customer problems, and strong engineer in general to automate work using LLMs/internal tools) | Full-time | NYC | Onsite

I'm one of the founders of Actively. We're building best-in-class machine learning and LLM-powered scoring for outbound sales teams. Our first product lives in Salesforce, ingests data from a variety of sources (firmographics, intent signals, marketing interactions, and prior engagement, including unstructured call transcripts, email chains, and notes), and combines LLMs with structured models to tell sales reps who they should reach out to each day (and why) to be laser-focused.

Our paying customers are fast-growing unicorns you've definitely heard of with large outbound sales motions, where the reps use us to target their outbound every day. Our thesis is that scoring (a known/"need to have" part of the stack -- but able to be done 10x better with LLMs because you can incorporate the goldmine of unstructured engagement data) is the right wedge into building the intelligence-driven outbound sales stack of the future that _actually works_ for large companies that need to generate millions of dollars in pipeline each quarter. Unlike most other companies in the space, we are explicitly building for companies of this scale and have them using our product today "in production." We have a 100% close rate from pilot → paying customer and want to scale our customer base aggressively this year.

We started with the vision of bringing AI to every business team, and have since narrowed down to focus on outbound sales teams who have a bunch of attractive properties (there are a _ton_ of them out there, they all use the same stack, the data is consolidated in one place, lift is measurable and directly touches the top line, etc.).

We're a team of 6 working in-person in NYC with a team from Scale/Waymo/Google/etc. (including some very senior folks) and looking to bring on a couple more engineers as we start scaling our customer base, in both product & solutions engineering roles. If you have at least a few years of experience, are highly entrepreneurial / excited to work closely with customers + dig in across the business, and are excited to work on some combination of LLMs/data infra/across the stack, we would love to chat: mihir [at] actively.ai!

Keywords: AI, ML, LLMs, machine learning, Salesforce, explainable AI, product engineering, SQL, solutions engineering, data infrastructure