Software Development

findfolks is partnering with a growing fintech company, and we are seeking a skilled Senior Product Engineer.


Role Details
4 - 8 years of experience as a software engineer or in a related technical role
Salary: $170k - $250k
Equity: 0.05-0.2%
Visa sponsorship available
Hybrid work policy (Hybrid with an office in San Francisco)
Full-time position
Location: San Francisco


Tech stack
Frontend: React, Typescript, MobX, Backend: Node.js, Express, Typescript, Technologies: Firebase, Firestore, Websockets, Twilio, WebRTC, Postgres, Redis, ML: GPT, Transformers, PyTorch, signal processing, few-shot classification.


What you'll do!


The company is an innovative AI startup focused on developing AI assistants specifically for outbound sales. With a bold vision in the emerging field of real-time AI collaboration, they face numerous intriguing technical challenges that are integral to their product roadmap.


We are now looking for a senior full-stack/backend/ML engineer to join the team.


Role Responsibilities
Concurrency & Distributed Systems: Their smart dialer makes parallel calls and runs real-time AI models on each call. This presents concurrency challenges in the syncing state between Twilio, its backend, and its frontend, such as deciding which calls to connect or continue in the background.
Real-time Audio AI: They use audio data and signals like transcription to detect whether a call is a voicemail or a human. Latency is crucial for quick detection, involving techniques like LLM embeddings and few-shot learning.
Latency (Infrastructure): Fast detection is vital; latency across their pipeline includes transcription models, WebSockets, Twilio API, and database transactions.
Smart Call Funnels & Playbooks: They analyze where reps struggle in conversations using GPT-3 to turn unstructured data into actionable strategies.
Conversation Embeddings & Markov Models: They model conversation patterns to predict outcomes using LLMs for clustering similar conversations.
Integrations: Their dialer integrates with sales platforms; each integration opens new markets but requires robustness and reliability.
Frontend Performance: Ensuring performance across devices is key with technologies like WebRTC and React rendering.



Team culture:
*The current team has approximately 45 people. The engineering and product teams are primarily based in San Francisco, with regular office visits two to three times a week. Meanwhile, the go-to-market team is dispersed across the United States.


The founders (Dan, Rohan, and Nikhil) met while studying AI at Stanford, have been published in top AI journals, have been in Forbes 30u30, and have worked at Scale AI, Tesla Autopilot, etc.
The engineering team has won international math & physics olympiads and has experience at Google, Facebook, Slack, Quora, Scale AI, Bolt, Snap, Flexport, and other fast-growing startups.
The sales team has been top performers at companies like Gong, Amplitude, LeadIQ, and Orum.

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