ASAPP

• Own a set of interconnected product areas that shape our voice pipeline and be accountable for their strategy, roadmap, and outcomes. • Own the voice pipeline — ASR, TTS, streaming, latency, evals, and the underlying model bets — and manage the roadmap of technology investments. • Define and execute the voice roadmap. Our customers are agentifying their customer experience and call center operations, and want voice solutions that deliver the best experience for both their customers and their call center operations. • Manage the commercial relationships with our third-party voice technology providers and partners, including build-versus-buy decisions as the vendor landscape shifts. • Work closely with our technical teams to ensure voice investments stay aligned with the underlying agentic platform. • Manage the telephony integrations — the conduit between our solution and customers’ CCaaS stacks. Triage inbound requests with a bias toward saying no cleanly; the framework is defined and the goal is disciplined execution, not proliferation. • Set strategy and own the roadmap — balancing active customer commitments, tech debt, and technology bets. • Work directly with customers and account teams to prioritize and sequence delivery. • Maintain ruthless prioritization: actively manage and prune the backlog; say no with clarity and evidence. • Establish metrics and telemetry for each building block of the voice pipeline as well as the end-to-end experience, so outcomes are measurable and decisions are data-driven.

• Own a set of interconnected product areas and be accountable for their strategy, roadmap, and outcomes. • Own the Messaging Platform — the application where live agents handle concurrent conversations, access customer context and knowledge, and collaborate with AI. • Define and execute the Virtual Agent and channels roadmap. • Lead the AI Services that power the surface — such as automatic conversation summary, voice-to-text transcription and AI-augmented response generation. • Be the go-to expert on Human + AI collaboration. • Own the external documentation for this surface as part of the product. • Set strategy and own the roadmap — balancing active customer commitments, tech debt, and platform bets. • Work directly with customers and account teams to prioritize and sequence delivery. • Establish metrics and telemetry for each product area so outcomes are measurable and decisions are data-driven.

• Drive the roadmap for customer-facing dashboards and analytics. • Build the value realization story. • Own exportable data feeds and real-time data APIs. • Own the data strategy layer. • Lead data discovery for strategic customer launches. • Partner deeply with Engineering and Data Science. • Manage the trust layer of the data experience.

• Own a set of interconnected product areas and be accountable for their strategy, roadmap, and outcomes. • Own the API Connections platform and manage the backlog of platform bets. Manage the commercial relationship with our third-party providers. • Define and execute the A2A and MCP server roadmap. • Lead the developer SDKs. The SDK is the surface through which end users experience ASAPP. • Manage telephony and platform integrations. • Own external documentation (docs.asapp.com) as part of the product. • Set strategy and own the roadmap — balancing active customer commitments, tech debt, and platform bets. • Work directly with customers and account teams to prioritize and sequence delivery • Maintain ruthless prioritization: actively manage and prune the backlog; say no with clarity and evidence. • Establish metrics and telemetry for each product area so outcomes are measurable and decisions are data-driven.

• Engage mid-cycle on mature opportunities. Lead the next phase of architectural discovery and design, once product fit and executive sponsorship are established. • Facilitate technical design workshops. Run multi-day workshops with prospect leadership and engineering. Cover current- and target-state architecture, integration, data flows, identity, security, observability, and cutover. • Produce target-state reference architectures. Deliver reference diagrams, integration patterns, deployment topologies, sequencing plans, and risk registers. Ground each in the prospect’s telephony stack (Genesys, Amazon Connect, Twilio, Avaya) and digital/messaging platforms. • Translate ASAPP’s Agentic AI capabilities into concrete integration patterns. Design how ASAPP plugs in: SIP, WebSocket, call transfers, CCaaS event streams, agent desktop embeds, CRM integration, voice/digital handoff, and AI-to-human transitions. • Prototype to move deals forward. When a technical question is blocking a deal, build a working prototype, custom adapter, or API POC yourself. Move fast rather than wait on engineering. • Develop reusable patterns. Codify field learnings into reference architectures and design guardrails. Make them reusable across the broader SE and partner ecosystem. • Bring the field back to product. Surface architectural patterns, gaps, and opportunities to ASAPP Product and Engineering. • Support customer security review. Partner with ASAPP InfoSec to address enterprise security, privacy, and compliance questions.

• Support Strategic Deals Directly. Lead discovery, demos, architecture deep-dives, and POCs for our largest prospects. • Build the team. Hire, develop, and retain a bar-raising SE team. Set the standard for technical storytelling, discovery rigor, and demo craft. • Own the technical win. Partner with Sales Leadership on deal strategy. Translate CXP’s capabilities into outcomes that resonate with customer executives. • Engineer repeatability. Design demos, reference architectures, and POC frameworks that scale without diluting quality. • Close the loop with Product. Convert competitive signals, gaps, and breakthrough wedges into clear input that shapes the roadmap. • De-risk the handoff. Set Implementation up to deliver in weeks, not quarters. • Run the function. Own SE metrics, forecasting inputs and capacity planning.

Title: Research Scientist, Conversational AI Location: New York / Mountain View Type: Full-time Workplace: hybrid Category: Research Job Description: At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship. We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India—embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey. Position Overview: We are expanding our research team and looking for an experienced Research Scientist specializing in Conversational AI & Machine Learning. In this role, you will work on solving scientific challenges related to Conversational AI to build domain-specific, real-world solutions. You will have the opportunity to leverage the massive amounts of data generated by our products to ask fundamental research questions, while deploying AI features into real-world applications. What you'll do - Hands-on Research: Be deeply involved in hands-on technical work in any and all aspects of research projects from early exploration to working prototypes to achieve successful real-world applications. - Research Leadership: Identify promising applications of AI relevant to ASAPP’s core mission, formulate and advocate for research programs in those areas, and take ownership of driving impactful research initiatives. - Collaboration & Advocacy: Work with cross-functional teams to socialize your research findings, advocate for their application, and guide the productization of those findings to improve customer experience solutions. - Documentation & Publication: Document significant experimental results, contribute to publishing peer-reviewed papers, and participate in patenting innovations. - Mentorship: Mentor and guide junior researchers, helping them develop their skills in independent research and the communication of their findings. What we're looking for - Education: PhD in a relevant field (such as Computer Science, Electrical Engineering, Linguistics, etc.) - Technical Expertise: Strong research experience in LLMs, Conversational AI, or Speech systems, including practical knowledge of algorithm design, model development, and experimental evaluation. Ideally with a focus on real-world applications. - Mentorship: Experience in coaching and guiding junior researchers or research engineers. - Hands-on Contribution: As an individual contributor, you’ll be expected to lead experiments, perform hands-on research, and drive the execution of innovative projects. - Enthusiasm: A passion for continued learning and deepening expertise in machine learning and AI, with a strong desire to apply research in impactful ways. What we'd like to see - Experience with Spoken Conversational AI applications or Speech LLMs. - Ability to develop and lead independent research programs. - A collaborative mindset, eager to share research findings and drive their application across product teams. - Experience in a startup environment, with the ability to balance deep research and rapid execution. $190,000 - $230,000 a year Compensation package also includes an annual performance bonus on top of the listed salary range Separately, we also offer a compelling equity grant comprised of stock options Benefits include: Competitive compensation with stock options Comprehensive medical, vision, and dental insurance 401k matching Fitness and wellness stipend Mental well-being benefits Professional learning and development stipend Parental leave, including adoptive and foster parents 3 weeks paid time off (increases with tenure) along with sick leave, bereavement and jury duty ASAPP is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-AG1 #LI-Hybrid We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Actively seek out new sales opportunities through cold calling, networking, social media (LinkedIn), and lead generation campaigns. • Build, manage, and maintain a robust sales pipeline, moving leads from initial contact to closed deals. • Conduct engaging product demonstrations and presentations tailored to the needs of potential clients. • Negotiate contracts, handle objections, and close agreements to meet or exceed monthly and quarterly sales targets. • Research potential prospects to understand their business needs and identify market gaps. • Maintain accurate records of all sales activities in CRM software and provide regular reports on progress and performance. • Develop and nurture relationships with key stakeholders and decision-makers (CEOs, managers).

• Develop and execute channel plans that deliver measurable pipeline and revenue • Source, recruit, vet, and negotiate with strategic partners • Own partner onboarding and enablement, including playbooks, training, and joint marketing materials • Support partner certification and training programs to accelerate time-to-impact • Manage day-to-day stakeholder relationships across customers, prospects, and partners to drive co-selling and co-marketing opportunities • Collaborate with Product and Engineering to support integrations and technical alignment between ASAPP and partners • Translate ASAPP’s technical capabilities into clear, compelling partner value propositions • Align partner initiatives with company objectives and sales priorities • Forecast, manage, and help close partner-sourced pipeline and revenue • Track KPIs to measure partner performance and program effectiveness • Represent ASAPP at partner meetings, industry events, and conferences