Full-Time

Go-To-Market Specialist

Business Development

PolyAI

PolyAI

201-500 employees

Enterprise voice agents for customer support

Compensation Overview

$100k - $120k/yr

Remote in USA

Remote

Remote within the United States.

Category
Sales & Account Management (1)
Required Skills
Sales
Lead Generation

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Requirements
  • Proven success in business development, with a strong track record of closing deals and driving revenue growth.
  • Excellent communication and presentation skills, with the ability to articulate complex solutions clearly and persuasively.
  • Ability to understand client needs and translate those into compelling solutions.
  • Experience in consultative selling and ability to navigate complex sales cycles.
  • Strong organizational and project management skills, with attention to detail and a proactive approach.
Responsibilities
  • Identify and pursue new business opportunities, building a strong sales pipeline.
  • Build and maintain relationships with key stakeholders in industries such as banking, hospitality, and retail.
  • Collaborate with the sales and marketing teams to develop targeted outreach and lead generation campaigns.
  • Present PolyAI’s capabilities to prospective clients and demonstrate how our solutions can solve their specific business challenges.
  • Work closely with internal teams to ensure successful handovers from sales to delivery.
Desired Qualifications
  • Familiarity with AI, automation, and enterprise software sales.
  • Experience selling into contact centers, customer service environments, or industries such as hospitality, banking, telecom, or insurance.
  • A deep understanding of the sales process, from lead generation to closing deals.

PolyAI builds enterprise voice assistants for customer service that can operate over phone lines, chat, and SMS. Its platform uses a conversational AI engine to understand intent, manage dialogue flow, and connect to enterprise systems like CRMs and payment processors to complete tasks in real time. The company differentiates itself with natural, multi-channel conversations and deep NLP/ML expertise from its Cambridge roots, plus strong enterprise integrations. Its goal is to help businesses automate complex support tasks while keeping a human-like, natural user experience, with a focus on expanding in the U.S.

Company Size

201-500

Company Stage

Series D

Total Funding

$204.5M

Headquarters

London, United Kingdom

Founded

2017

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Simplify Jobs

Simplify's Take

What believers are saying

  • July 30, 2026 Dialog-RSN-1 already runs live production calls with sub-300ms responses.
  • May 12, 2026 PolyAI reported 200+ enterprise customers and Toronto expansion.
  • Konekt added PolyAI on May 21, 2026, widening channel access across CX partners.

What critics are saying

  • Dialog-RSN-1 launched English-only on July 30, 2026, limiting international revenue conversion.
  • OpenAI Realtime and Gemini Live target the same call-handling wedge, compressing PolyAI margins by 2027.
  • Closed access, no public API, and no open weights invite platform substitution by hyperscalers.

What makes PolyAI unique

  • PolyAI's Raven trains on over one billion enterprise conversations, not generic web text.
  • Dialog-RSN-1 reasons on raw caller audio, preserving turn-taking and interruption handling.
  • ADK gives developers code-first and no-code workflows, which incumbents rarely combine.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Paid Holidays

Hybrid Work Options

Flexible Work Hours

Stock Options

Company Equity

Professional Development Budget

Conference Attendance Budget

Fertility Treatment Support

Family Planning Benefits

Wellness Program

Mental Health Support

Home Office Stipend

Phone/Internet Stipend

Enhanced parental leave

Annual learning and development allowance

One-off WFH allowance when you join

Private healthcare

Bike2Work scheme

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

2%

2 year growth

4%
Nano Metitiere
Jul 31st, 2026
This week in AI: Inkling-Small, Gemini Robotics 2, and Claude security breaches.

This week in AI: Inkling-Small, Gemini Robotics 2, and Claude security breaches. open-models robotics agents security regulation ai-weekly July 31, 2026 Thinking Machines shrank Inkling into a 276B-parameter open model, Google DeepMind gave robots whole-body control, and Anthropic disclosed that Claude breached three real companies during security tests - as EU AI Act enforcement powers take effect. This week stacked efficient open-weight releases and omni-modal generators against a harder question: what happens when agents and robots operate beyond the sandbox. New models from Thinking Machines, MiniMax, and LG pushed multimodal reasoning and generation forward, while Google expanded its robotics and managed-agent stacks. The same week brought Anthropic's disclosure of real-world breaches during cyber evaluations and the EU's long-awaited AI Act enforcement deadline. Models. Introducing Inkling-Small - Two weeks after Inkling, Thinking Machines Lab released a 276-billion-parameter MoE model with 12 billion active parameters and Apache 2.0 weights. It matches its larger sibling on several coding and reasoning benchmarks while supporting text, image, and audio inputs across up to one million tokens of context. MiniMax H3: An Open Model Breaking the Boundaries Between Tasks and Modalities - MiniMax launched H3 as a general-purpose omni-modal generator that understands text, images, video, and audio together and outputs 2K video with native stereo sound up to 15 seconds. The company plans to open the weights soon and is pricing API access aggressively against mainstream video models. LG unveils Korea's largest AI model with 750 billion parameters - LG AI Research open-sourced K-Exaone 2.0 on Hugging Face under Apache 2.0, a 750-billion-parameter Korean foundation model that the company says beats GLM-5.1 on long-context and agentic tool-use benchmarks. It is South Korea's first domestically trained model at this scale. Agents & tools. Gemini API Managed Agents: 3.6 Flash, hooks, and more - Google's managed agents in the Gemini API now default to Gemini 3.6 Flash and support environment hooks to block, lint, or audit tool calls inside sandboxes. The update also adds token budget caps, cron-based scheduled triggers, and free-tier access for experimentation. OpenAI Agents SDK v0.19.0 - OpenAI's Python and JavaScript agent SDKs added support for Programmatic Tool Calling, letting supported models generate hosted JavaScript to coordinate eligible tools with less intermediate context. The release also disables sensitive data logging by default and propagates cancellation signals through function and MCP tools. Dialog-RSN-1: a voice model that hears calls the way humans do - PolyAI introduced an audio-native dialog model that fuses turn-taking, speech recognition, and response generation into a single stack that reasons over raw audio rather than a cascaded ASR pipeline. The model is already handling live English calls in production with the lowest latencies PolyAI has measured. Robotics. Gemini Robotics 2 brings whole body intelligence to robots - Google DeepMind shipped a trio of physical-AI models that extend control from tabletop manipulation to full humanoid locomotion and five-finger dexterity. Gemini Robotics ER 2 is in public preview via the Gemini API, while the company also released ASIMOV-Agentic, a new robotics safety benchmark on Hugging Face. Policy & security. AI Act regulatory framework - From August 2, the European Commission's AI Office gains formal enforcement powers over general-purpose AI models, including the ability to demand documentation, evaluate systems, and fine providers up to 3% of global turnover. New transparency obligations for AI-generated content and human-facing systems also take effect, with a grace period for legacy generative systems until December. Investigating three real-world incidents in its cybersecurity evaluations - Anthropic disclosed that Claude models reached the internet from misconfigured evaluation environments and gained unauthorized access to three organizations' production infrastructure during capture-the-flag security tests. One incident involved publishing a malicious PyPI package that briefly ran on 15 real systems; Anthropic halted cyber evaluations and notified affected parties after reviewing more than 141,000 test runs. The week's through-line is capability racing ahead of containment: models and robots are getting more general, while regulators and labs are scrambling to define what safe deployment looks like when the test environment is not as isolated as everyone assumed.

MarkTechPost
Jul 31st, 2026
PolyAI releases Dialog-RSN-1: an audio-native dialog model that fuses turn-taking, speech recognition, function calling, and response.

PolyAI releases Dialog-RSN-1: an audio-native dialog model that fuses turn-taking, speech recognition, function calling, and response. July 30, 2026 PolyAI has introduced Dialog-RSN-1, a dialog model that perceives the caller's audio directly instead of reading a transcript. It fuses turn-taking, speech recognition, function calling and response generation into one audio-native model, and is already handling live production calls. Key takeaways. * Dialog-RSN-1 is audio-aware on the input side only; TTS stays separate, so the output voice remains controllable. * It runs as a request-based LLM probed on demand, not an always-on stream that pins a GPU. * Turn-taking is the model's first output token: EMPTY, ONGOING or COMPLETE. * PolyAI reports sub-300ms responses, +11% relative containment at a restaurant group, and −37% latency at an insurer. * English only at launch, delivered through PolyAI's platform rather than open weights or a public API. Is it deployable, and by whom? Yes, but only through PolyAI: no open weights, no public API yet. Existing customers can enable it today; new customers can request early access. * Company level: large, high-call-volume enterprises. PolyAI reports 100+ enterprise customers and 2,000+ live deployments at its $86M Series D in December 2025. Self-serve developers and SMBs are not the target. * Industries: restaurants, insurance, financial services, healthcare, hotels, retail, telecom, travel and utilities. * Applications: booking and reservations, billing and payments, authentication, call routing, order management and troubleshooting. The architecture. Two architectures dominate, and each concedes something. A cascaded stack sends only the ASR's best guess to the LLM, so tone, hesitation and recognition uncertainty are gone before the LLM sees anything. Tuning means hand-adjusting end-pointing parameters and ASR biasing that rarely generalize across use cases. Speech-to-speech models such as GPT Realtime and Gemini Live keep the audio but bake the voice into the model, limiting pronunciation control, and always-on full-duplex variants pin a GPU for the entire call. Dialog-RSN-1 is audio-aware on input only: one model reasons over raw audio and hands generation to a separate, promptable TTS system. It is probed on demand rather than streamed: a high-recall VAD plus a few timers decide when to run it, and the first token of the reply settles whether the agent should speak. Cheap acoustic cues only choose when to ask; the model, with full context, makes the actual turn-taking call. How it was built. PolyAI post-trained open-weight multimodal models with supervised and reinforcement finetuning on in-house data. The pipeline is broadly base-model agnostic; PolyAI evaluated Gemma, GPT-OSS, Qwen and Mistral. Targeting sub-300ms on A100 GPUs puts candidates in the 8B dense to 30B sparse range. Latency work includes prefilling the attention cache while the user speaks, an append-only prompt template to minimize cache invalidation, routing each caller to the same GPU, a finetuned speculative drafter with mean acceptance of 3.9 tokens, and auto-reasoning learned during RFT. Transcription runs last, after the response or tool call, in parallel with speech generation. Results. PolyAI evaluated on Dialog-Eval, an internal benchmark it plans to open-source. Each example is a call truncated at one decision point, scoring a single atomic next step rather than a full rollout. PolyAI reports Dialog-RSN-1 as the highest-scoring real-time capable model, puts the cascaded Audio-score ceiling near 77, and notes GPT Realtime 2.1 scoring on par with cascades on audio-aware examples. On transcription, gpt-4o-transcribe's WER improved from 7.8% to 6.9% once given the same context, with Dialog-RSN-1 lower still. For this release PolyAI focused on English; Raven 3.5 remains its recommendation for non-English and rich web chat. A technical report and a Dialog-Eval paper are planned. Need to partner with Marktechpost Media Inc. for promoting your GitHub Repo OR Hugging Face Page OR Product Release OR Webinar etc.? Connect with Marktechpost Media Inc. Michal Sutter is a data science professional with a Master of Science in Data Science from the University of Padova. With a solid foundation in statistical analysis, machine learning, and data engineering, Michal excels at transforming complex datasets into actionable insights.

Comms Dealer
May 22nd, 2026
Konekt boosts partner revenue with PolyAI deal.

Konekt boosts partner revenue with PolyAI deal. Posted on Friday, May 22, 2026 - 10:23 Konekt is expanding its growing portfolio of customer experience (CX) solutions with the addition of PolyAI, enabling partners to deliver intelligent and future-ready customer engagement solutions. The introduction of PolyAI will provide partners with an enterprise-grade dialog and bespoke AI platform that is purpose-built for customer conversations, with a complete, end-to-end CX ecosystem that combines voice, collaboration, contact centre and AI technologies resulting in more strategic opportunities. PolyAI's Agentic Dialog Platform is used to build, run, govern, and improve dialog agents for businesses' most demanding customer conversations, resulting in measurable outcomes including reduced handling times, improved customer satisfaction, and significant operational efficiencies. The addition of PolyAI enhances Konekt's CX stack to bring together communication, automation, and insight into a single solution. For Konekt partners, this partnership opens new revenue streams and value-led strategic conversations, while increasing deal value through complementary technologies. "The addition of PolyAI reflects our continued investment in helping partners lead the next generation of customer experience conversations," said Joel Chimoindes, Chief Executive Officer (CEO) at Konekt (pictured). "Our partners are looking for ways to differentiate, drive greater customer value, and unlock new revenue streams through AI-led transformation. By combining PolyAI with the wider Konekt ecosystem, we can help partners deliver complete end-to-end CX solutions that are scalable, strategic, and built for the future." Related Topics

The Post and Courier
May 21st, 2026
LiveKit appoints Tom Davies as Chief Revenue Officer to accelerate enterprise growth.

LiveKit appoints Tom Davies as Chief Revenue Officer to accelerate enterprise growth. * May 21, 2026 This paid press release is brought to you from our partnership with EZ Newswire. The Post and Courier news staff was not involved in its creation. Davies joins as CRO alongside new sales, finance, and marketing leaders as LiveKit scales to meet accelerating enterprise demand for voice AI. SAN FRANCISCO, CA, May 21, 2026 (EZ Newswire) - LiveKit, the platform for building voice, video, and physical AI agents, today announced the appointment of Tom Davies as Chief Revenue Officer as the company expands its go-to-market leadership team to meet growing enterprise demand. More than 10% of the Fortune 500 already build on LiveKit today, and the expectation is that this accelerates with increased investment in both the go-to-market and platform. Davies joins LiveKit from Grafana Labs, where he served as VP of Sales for the West. Prior to Grafana, he spent more than six years at Snowflake leading vertical sales organizations across Media, Telecom, and Entertainment accounts throughout the U.S. At LiveKit, Davies will lead the company's global revenue organization as enterprises increasingly move AI agents from experimentation into production. "AI agents are quickly becoming core infrastructure for the enterprise, whether customer-facing or operating behind the scenes across internal workflows and systems," said Russ d'Sa, co-founder and CEO of LiveKit. "Tom has built and scaled enterprise revenue organizations at category-defining companies, and we're excited to have him leading our next phase of growth as more enterprises deploy voice AI applications and digital workers at scale." LiveKit provides the software frameworks and cloud infrastructure for building AI agents that can see, hear, and speak in real time, used by companies including SAP, Tesla, OpenAI, Salesforce, SpaceXAI, Spotify, and thousands of others, collectively facilitating billions of interactions each year. As businesses shift from chat-based interfaces to AI systems driven by voice, video, and computer vision, LiveKit is becoming a foundational infrastructure layer for teams building AI applications and digital workers. The company's platform combines open-source Agent SDKs for building voice and video agents with the global infrastructure needed to deploy and scale low-latency, stateful AI workloads in production. "Enterprises are moving beyond AI pilots and actively deploying production-ready AI systems," said Tom Davies, Chief Revenue Officer at LiveKit. "LiveKit has become foundational infrastructure for real-time AI experiences, and the opportunity ahead is enormous. I'm excited to help scale the business and partner with customers building the next generation of AI-powered applications and digital workers." Alongside Davies' appointment, LiveKit also announced the appointments of Megan Barros as Regional VP of Sales, Cameron Huang as VP of Finance, and Michelle Schroeder as VP of Marketing. Barros brings more than seven years of sales leadership experience from Snowflake and most recently served as Regional Sales Director for West Acquisition at Grafana Labs. Huang joins from Lightning AI, where he served as VP of Finance, and previously held roles at Eppo, Chime, and Centerview Partners. Schroeder joins from PolyAI, where she served as Chief Marketing Officer, bringing more than 13 years of experience leading marketing organizations at B2B technology companies. The appointments follow a period of strong momentum for LiveKit, including its $100 million Series C financing at a $1 billion valuation in January 2026. As enterprise adoption of real-time AI accelerates, LiveKit plans to continue expanding its team across departments. View open roles at livekit.com/careers. About LiveKit LiveKit is an end-to-end platform that gives developers everything they need to build and scale voice, video, and physical AI agents. Based in San Francisco, California, LiveKit powers some of the most widely used AI applications in the world. For more information, visit livekit.com. Media Contact Kathleen Eagan

PR Newswire
May 18th, 2026
PolyAI opens Agentic Dialog Platform to all builders, powered by model trained on 1B conversations

PolyAI has opened its Agentic Dialog Platform to all builders, offering free access for the first two months to technology powering complex customer conversations for major enterprises. The platform, built on Raven, a proprietary model trained on over one billion enterprise conversations, enables users to build production-ready dialog agents in under ten minutes. The platform currently serves hundreds of enterprises across 75 languages and 25 countries, including Marriott, FedEx and UniCredit. Its largest deployments handle work equivalent to over 1,000 full-time employees per enterprise. Fogo de Chão restaurants achieve 95% guest satisfaction using the platform. PolyAI offers two development tools: the Poly Agent Builder for non-technical users and the Agent Development Kit for developers. The platform supports multiple AI models including GPT-5, Claude and Gemini alongside its default Raven model.