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JOB DESCRIPTION
Software Development:
 
Write clean, maintainable, and efficient code in Java, Python, and other relevant technologies.
Develop and maintain database and datawarehouse using MySQL and Snowflake.
Implement data processing pipelines using Kafka and ensure seamless integration with other components.
Collaboration and Communication:
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Work closely with product managers, QA engineers, and other stakeholders to understand requirements and deliver high-
•
•
•
•
quality solutions.
Communicate effectively with team members to share knowledge, ideas, and updates.
Infrastructure and Cloud Services:
Utilize AWS services to deploy and manage the infrastructure required for the core platform.
Optimize and troubleshoot issues related to cloud-based deployments.
EXPERTISE AND QUALIFICATIONS
•
•
•
•
•
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Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Strong grasp of Computer Science fundamentals
Proven experience (3-5 years) in software development with expertise in Java, Spring Framework, MySQL &amp; Postgres,
Snowflake, Python, Redis, Kafka, and AWS,
Built microservices in a distributed architecture and have experience scaling them in a multi-tenant design
Experience in leading and mentoring development teams.
Excellent problem-solving and analytical skills.

India HQ

Senior Software Engineer

Associate Product Manager – Discover
 
Job Description
<h1> </h1>
<h1>About the Position</h1>
As an Associate Product Manager – Discover, you will play a critical role in shaping the future of Sense’s intelligent automation and agentic AI ecosystem.
You will work on some of Sense’s most strategic problem spaces, including:
<ul>
 <li>Empower recruiters to rapidly identify top-tier candidates for open job orders across ATS and Sense platforms, accelerating time to fill job orders.</li>
 <li>Drive higher application rates for open jobs by connecting job seekers with the most relevant jobs across Email, SMS, Voice, and Chat surfaces.</li>
 <li>Structured AI Decisioning out of unstructured data within automation workflows to ensure rapid yet meaningful outreach and audience engagement</li>
 <li>LLM-powered Recommendation and Decisioning Engines which drive above outcomes</li>
 <li>Reliable Feedback Loop - AI Quality, Observability &amp; Data Quality monitoring to ensure reliable and explainable outcomes for recruiters and customers</li>
</ul>
This role sits at the intersection of AI, workflow orchestration, automation infrastructure, and recruiter productivity. You will collaborate closely with Engineering, Design, AI/ML teams, Customer Success, and GTM teams to conceptualize, build, and scale products that automate recruiting workflows and empower recruiters with AI-driven assistance.
This is an excellent opportunity for a high-potential Product Manager who enjoys solving complex platform and systems problems, thrives in ambiguity, and wants to grow into a larger product leadership role over time.
 
<h1>Role and Responsibilities</h1>
<h2>Strategy &amp; Discovery</h2>
<ul>
 <li>Identify opportunities where AI and automation can meaningfully improve recruiter productivity, operational efficiency, and candidate experience.</li>
 <li>Work closely with Product Leadership to define and evolve the vision for Sense’s Discover roadmap. More specifically, contribute to the roadmap for:
 <ul>
 <li>Candidate Matching</li>
 <li>Job Matching</li>
 <li>AI Decisioning &amp; Actions</li>
 <li>AI Observability</li>
 </ul>
 </li>
 <li>Stay current with advancements in Agentic AI, LLM ecosystems, workflow orchestration, and enterprise automation trends.</li>
 <li>Conduct structured discovery sessions with enterprise customers, recruiters, implementation, customer success, sales and leadership teams to understand and document feedback, pain points and user flow inefficiencies clearly.</li>
</ul>
<h2>Execution - Design, Development and Delivery</h2>
<ul>
 <li>Translate ambiguous business and customer problems into clearly defined user flow diagrams, user stories, and acceptance criteria within a PRD - explaining aha! moments, self-serve features, guided onboarding, activation experience and instrumentation to track post launch activation and repeat usage metrics.</li>
 <li>Contribute to the implementation of intelligent orchestration capabilities across recruiting workflows and user journeys.</li>
 <li>Partner with user experience and design teams to ship consumer-grade, highly flexible yet scalable and delightful user experiences. Help define interaction patterns and experiences for features owned by your EPD triad across Voice, Chat, Recruiter Hub, Workflows, Sequences and other surfaces.</li>
 <li>Partner with engineering, platform and ML teams to deliver scalable, reliable and maintainable solutions across ingestion pipelines, document processing, feature extraction, data transformations &amp; indexing, vector storage &amp; embeddings, structured and low latency retrieval and amongst other product and platform capabilities.</li>
 <li>Ensure product, design and engineering decisions are documented, and shared with stakeholders in a timely manner.</li>
 <li>Drive feature prioritization, sprint planning, backlog grooming, and release coordination by maintaining a groomed / ungroomed backlog / project plan in Asana or Jira.</li>
 <li>Work closely with QA teams and perform hands-on UAT to ensure comprehensive test coverage and delivered features meet customer and usability expectations.</li>
 <li>Ensure customer reported issues are resolved under pre-defined SLA windows and are escalated proactively to the appropriate leadership to ensure timely resolution.</li>
 <li>Contribute towards shipping internal tools for engineering and customer support to easily track and debug issues.</li>
</ul>
<h2>Enablement and GTM</h2>
<ul>
 <li>Run a structured post launch program to ensure awareness, activation and adoption of key features</li>
 <li>Analyse past usage, revenue and churn risk signals to identify customer segments where a feature is launched and will be useful to drive targeted adoption</li>
 <li>Work closely with product marketing and knowledge base team to create and update the customer facing how-tos and other useful artifacts</li>
 <li>Create internal and customer facing announcement artifacts and adoption playbooks for customer success and implementation teams</li>
 <li>Run structured training sessions for new capabilities, office hours and workshops</li>
</ul>
<h2>Product Adoption and AI Observability</h2>
<ul>
 <li>Define, review and present adoption and AI Observability metrics to stakeholders on a bi-weekly basis
 <ul>
 <li>Customer Satisfaction &amp; Feedback Synthesis</li>
 <li>AI Quality / Reliability / Faithfulness -
 <ul>
 <li>Feature extraction accuracy</li>
 <li>Hit Rates, Miss Rates, Relevant Results Density</li>
 <li>Faithfulness of AI explanation on a sample dataset</li>
 </ul>
 </li>
 <li>Indexing and Retrieval Reliability - Latency, Failure Rates, Zero Result Rates</li>
 <li>Conversion Funnel Analysis</li>
 </ul>
 </li>
 <li>Personally inspect AI Quality - LLM outputs, traces, retrieval results, source-ingestion failures, irrelevant results, failed actions, and downstream customer outcomes.</li>
 <li>Analyse customer reported issues via bugs and support tickets and identify improvement opportunities</li>
 <li>Partner with Product Analytics and Data teams to ensure timely and evolving instrumentation, derive actionable insights and identify optimization opportunities on a bi-weekly basis.</li>
</ul>
<h1>Professional Qualifications</h1>
<ul>
 <li>BE/B.Tech or M.B.A with at least 1-3 years of experience in product management role with deep familiarity with software development lifecycle.</li>
 <li>You need to be a highly analytical problem solver &nbsp;to succeed in this role.</li>
 <li>[Must Have] - You bring hands-on experience with data analysis using SQL and present your findings in a structured way. Experience with tools like Mixpanel, Heap or Amplitude is preferred.</li>
 <li>[Highly Preferred] Previous experience in working closely with engineering and ML on retrieval-augmented generation, embeddings, hybrid search, re-ranking, evaluations and observability. Familiarity with AI Observability tools like Arize, Braintrust etc is highly desired.</li>
 <li>Familiarity with project management tools like Asana or Jira.</li>
 <li>Proficient in English, with good written and oral communication and presentation skills</li>
 <li>Strong cross-functional collaboration skills, ability to prioritize and balance multiple tasks</li>
 <li>Ability to process and apply feedback constructively without ego</li>
 <li>Ability to “do what it takes to get the job done” - no job is small for you.</li>
</ul>

Associate Product Manager

<h1>Product Manager – Voice AI &amp; LLM Chatbots</h1>
Sense is hiring a Product Manager to own a major part of our Voice AI, LLM chatbot, and Agent Builder roadmap, from strategy and vendor decisions to delivery, quality, and customer outcomes.
 
<h2>About the role</h2>
You will work on Sense's conversational AI products and set direction for your area with Product Leadership.
<ul>
 <li>Voice AI and AI Receptionist: outbound and inbound agents that screen candidates, collect data, answer questions, and hand off to recruiters.</li>
 <li>LLM chatbots: web and SMS agents built on the same platform.</li>
 <li>Agent Builder: a modular platform (Greeting, Data Collection, Screening, FAQ, Closing) with custom instructions, prompt architecture, ATS variables, testing tools, and publishing into Sense Workflows.</li>
 <li>Voice stack: telephony, speech-to-text, LLMs, and text-to-speech from multiple vendors, where latency, voice quality, and cost per call are product decisions.</li>
 <li>Integrations: ATS field mapping and note writeback, which decide whether a good conversation becomes a usable record.</li>
</ul>
The work is hard because outputs are non-deterministic, calls happen in real time, and staffing customers run high volumes under consent and compliance rules. You will work in the EPD (Engineering, Product, Design) triad with AI/ML, Customer Success, Implementation, and GTM teams.
<h2>What you'll do</h2>
Strategy
<ul>
 <li>Own the roadmap and outcomes for one or more areas: voice agent quality and evals, Agent Builder platform capabilities, voice cost and architecture, or ATS and workflow integrations.</li>
 <li>Find where conversational AI can improve recruiter productivity, candidate experience, and outcomes such as screening completion and submission-to-placement conversion.</li>
 <li>Track advances in LLMs, speech models, and voice orchestration, and judge which are worth adopting.</li>
</ul>
Execution
<ul>
 <li>Turn ambiguous customer and business problems into PRDs, user stories, and acceptance criteria that work for non-deterministic systems.</li>
 <li>Lead prioritization, sprint planning, and release coordination with Engineering, AI/ML, and Design.</li>
 <li>Work with QA on test coverage and run User Acceptance Testing before release.</li>
</ul>
Platform and vendors
<ul>
 <li>Define agent behaviors, modules, prompt architecture, and guardrails with AI/ML and Engineering.</li>
 <li>Make build-versus-buy and vendor decisions for speech, voice, and LLM components, with cost and quality trade-offs modeled.</li>
 <li>Improve unit economics, including prompt efficiency and cost per call.</li>
 <li>Define call outcomes and classifiers, such as consent revoked, human contact requested, and logical completion.</li>
 <li>Own ATS integration behavior, including field mapping and writeback.</li>
</ul>
Quality, evals, and compliance
<ul>
 <li>Build the approach to agent quality: call sampling, pre-release simulation, A/B testing, and voice-quality metrics.</li>
 <li>Improve observability so teams can see why a conversation went the way it did.</li>
 <li>Work with Legal and CS on consent, opt-out, and disclosure requirements.</li>
</ul>
Customers and stakeholders
<ul>
 <li>Run discovery sessions, demos, and roadmap conversations with customers, recruiters, and Implementation teams.</li>
 <li>Triage escalations, spot patterns across support tickets, and turn them into product fixes.</li>
 <li>Support pilots and account health reviews, and present to executives.</li>
</ul>
<h2>Metrics you'll own</h2>
Area
Example metrics
Conversation outcomes
Connect rate, call and chat completion rate, drop-off by module, human handoff rate
Business impact
Screening completion, submission-to-placement conversion, recruiter time saved
Quality
Evaluation scores, voice-quality measures, interruption and latency quality, issue volume by theme
Reliability
ATS writeback success rate, platform and vendor uptime, escalation volume
Economics
Cost per call, gross margin per bot, LLM and speech cost per conversation
Trust
Opt-out and complaint rates, compliance check pass rate
Adoption
Active bots and accounts, time to launch a new bot, customer satisfaction
<h2>Qualifications</h2>
Must have
<ul>
 <li>BE/B.Tech or MBA, with 4–7 years of product management experience. Excellent academics.</li>
 <li>Shipped at least one LLM-powered, voice, or conversational product used by real customers.</li>
 <li>Practical understanding of prompt design, grounding, guardrails, and failure modes of LLM agents.</li>
 <li>Experience defining quality and evaluation approaches for AI or other non-deterministic systems.</li>
 <li>Hands-on experience working with LLM tools such as Claude, Gemini, and ChatGPT, for example through a personal, academic, or work project using LLM APIs, prompts, chatbots, or voice agents.</li>
 <li>Strong analytical skills, including SQL and working with API and integration behavior.</li>
 <li>Good system design skills and knowledge of the software development life cycle.</li>
 <li>Excellent written and oral communication, including executive presentations.</li>
 <li>Ability to prioritize and balance multiple tasks, work well in a team, and apply feedback constructively.</li>
</ul>
Nice to have
<ul>
 <li>Experience with real-time voice systems such as telephony, speech-to-text, or text-to-speech.</li>
 <li>Experience with enterprise, multi-tenant configuration platforms.</li>
 <li>Exposure to HR tech, staffing, or high-volume candidate engagement.</li>
 <li>Familiarity with consent and compliance requirements for outbound calling and messaging.</li>
</ul>
<h2>Why join</h2>
You will work on products that talk to candidates at scale, with real customers and measurable outcomes. The team is small enough that you will influence architecture, vendor, and roadmap decisions early. Sense offers active mentorship, learning and development support, and a path to larger product leadership roles.

Product Manager

<ul>
 <li>Location: Remote (Any state in the Continental US)</li>
 <li>Travel: 10–15% (5–8 industry events and trade shows per year)</li>
 <li>Reports To: Head of Sales</li>
 <li>Experience Level: 1–3 years</li>
 <li>Employment Type: Full-time</li>
</ul>
<h4>About the Role</h4>
At Sense, we are transforming how enterprise hiring teams and staffing agencies attract, engage, and retain talent. Our AI-powered Talent Engagement Platform automates critical recruitment workflows from AI chatbots and multi-channel candidate engagement to automated scheduling and voice AI: helping market leaders hire faster and smarter.
 
We are seeking an energetic, curious, and proactive Junior Marketing Manager to join our fast-growing marketing team. Reporting directly to our Co-Founder and Head of Sales, you will serve as the connective tissue between our AI brand narrative and revenue pipeline. You will dabble across Social Media, Demand Generation, Product Marketing, Sales Enablement, and Field Events, with primary operational ownership over our LinkedIn presence and HubSpot marketing operations.
 
If you are obsessed with AI (actively using Gemini, Claude, and modern generative tools), love creating high-impact collateral for sales reps, and are excited to represent Sense at top HR tech and talent events, this role offers high visibility and incredible career growth.
 
<h4>Key Responsibilities</h4>
<ul>
 <li>LinkedIn &amp; Executive Thought Leadership: Plan, write, and execute weekly content on our corporate LinkedIn page. Collaborate with the Co-Founder to turn high-level insights into engaging, viral social posts.</li>
 <li>Sales Enablement &amp; Collateral: Partner directly with the Head of Sales and sales reps to design, write, and update buyer collateral: 1-pagers, slide decks, case study summaries, and feature tear-sheets to help win deals.</li>
 <li>Event Management &amp; Travel: Lead end-to-end event execution for 5–8 national conferences and field events annually. Responsibilities include booth logistics, pre-event promotional campaigns, collateral shipping, on-site event support, and post-event lead capture follow-ups in HubSpot.</li>
 <li>HubSpot &amp; Digital Operations: Update website landing pages, create email marketing sequences, manage lead forms, and track campaign performance inside HubSpot.</li>
 <li>Demand Generation &amp; Product Marketing: Assist with multi-channel campaigns, webinar launches, and translating new product releases into buyer-centric messaging.</li>
 <li>AI Tool Integration: Heavily leverage Gemini, Claude, and generative media tools to accelerate draft creation, streamline event copy, research competitors, and automate weekly workflows.</li>
</ul>

US - Remote

Junior Marketing Manager (AI & B2B SaaS)

Software Development:
<ul>
 <li>Write clean, maintainable, and efficient code in Java, Python, and other relevant technologies.</li>
 <li>Develop and maintain database and datawarehouse using MySQL and Snowflake.</li>
 <li>Implement data processing pipelines using Kafka and ensure seamless integration with other components.</li>
</ul>
Collaboration and Communication:
<ul>
 <li>Work closely with product managers, QA engineers, and other stakeholders to understand requirements and deliver high-quality solutions.</li>
 <li>Communicate effectively with team members to share knowledge, ideas, and updates.</li>
</ul>
Infrastructure and Cloud Services:
<ul>
 <li>Utilize AWS services to deploy and manage the infrastructure required for the core platform.</li>
 <li>Optimize and troubleshoot issues related to cloud-based deployments.</li>
</ul>
 
EXPERTISE AND QUALIFICATIONS
<ul>
 <li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.</li>
 <li>Strong grasp of Computer Science fundamentals</li>
 <li>Proven experience (3-5 years) in software development with expertise in Java, Spring Framework, MySQL &amp; Postgres,</li>
 <li>Snowflake, Python, Redis, Kafka, and AWS,</li>
 <li>Built microservices in a distributed architecture and have experience scaling them in a multi-tenant design</li>
 <li>Experience in leading and mentoring development teams.</li>
 <li>Excellent problem-solving and analytical skills.</li>
</ul>

Reporting directly into our VP of Sales, this Enterprise Staffing Account Executive is responsible for growing our existing and acquiring the largest enterprise-level staffing customers.
 
Responsibilities
<ul>
 <li>Manage sales cycles from lead to close to bring on new logos</li>
 <li>Clearly articulate and demonstrate our Sense value proposition, creating excitement and enthusiasm among new prospects</li>
 <li>Engage and educate senior level decision makers within the staffing and recruiting industry on the importance of our platform solution and validate Sense’s client potential</li>
 <li>Partner with the BD, Marketing, and Product teams to develop account-based engagement strategies to build trust and deliver client value</li>
 <li>Provide superior client service to maximize client satisfaction and retention in partnership with our CSM team.</li>
 <li>Actively manage client product usage, proactively resolve client issues, and help high-level executives gain maximum value from their subscription.</li>
 <li>Expand the use of our platform with clients. You will help identify, cultivate, and close additional revenue opportunities to fuel our continued growth.</li>
</ul>

Enterprise Account Executive

<div style="">Sense is transforming the way companies hire with AI-powered technology designed to bring unprecedented speed, precision, and personalization to every step of the recruiting process. Our mission is to reimagine how organizations engage with talent—creating faster, smarter, and more human experiences for employers, recruiters, and job seekers alike.</div><div style=""> </div><div style="">Founded in 2015, Sense is a high-growth HR Tech SaaS company serving over 1,000 customers worldwide. With 250+ team members and backing from Google Ventures, SoftBank, Accel, and Avataar Ventures, we’ve scaled rapidly and continue to lead innovation in talent engagement and automation.</div><div style=""> </div><div style="">Our diverse and collaborative team is tackling one of the most universal challenges in the workforce—helping people find meaningful work faster. At Sense, you’ll have the opportunity to shape innovative AI solutions that are changing how the world hires, impacting millions of careers globally. Join us in building the future of hiring.</div>