Conversation Quality Analyst

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your Role As a Sr. Salesforce Developer, you’ll own the hands-on development of custom solutions on the Salesforce platform. You’ll work closely with Engineers, Systems Analysts, Solutions Architects, and Business Analysts to translate complex business requirements into robust, scalable, and high-quality code. A primary focus of

About Bolna Bolna is building the voice infrastructure for India, powering millions of AI-powered conversations for businesses across BFSI, e-commerce, logistics, and more. We’re launching Symphony, India’s first large-scale Voice AI conference, in Bengaluru this November - and this is just the beginning. We’re looking for a Marketing Manager to help build how Bolna shows up in the market. The Role You’ll own Bolna’s day-to-day marketing across content, creative, social, campaigns, and analytics . This is a hands-on role. You’ll write posts, create graphics, edit videos, ship campaigns, support events, track performance, and use data to decide what we should do next. You’ll work closely with founders and teams across the company to turn ideas, product launches, events, and stories into content that gets attention and drives engagement. Key Responsibilities Own Bolna’s social presence across LinkedIn, X, and emerging channels. Write, create, and publish high-quality content across formats. Design graphics, social creatives, presentations, and campaign assets using tools like Figma and Canva. Edit short-form videos, product clips, event content, and other visual assets. Plan and execute marketing campaigns around product launches, events, announcements, and company milestones. Own creative and marketing execution for Symphony and future events. Maintain a consistent and distinctive Bolna brand voice across channels. Track content and campaign performance and turn insights into actionable recommendations. Build dashboards and reports to understand what is working, what isn't, and why. Experiment with new content formats, channels, and distribution strategies. Work with internal teams and external partners to deliver high-quality marketing output. What We’re Looking For 3-6 years of experience in marketing, content, brand, social, or growth roles. Excellent writing and communication skills. Strong visual sense and ability to create polished creatives independently. Hand

🚀 About Bolna Bolna is a platform to seamlessly build and deploy multilingual human-like Voice AI Agents capable of handling inbound and outbound calls. We're built for enterprises and fast-scaling teams handling high-volume phone workflows across recruitment, support, operations, and collections. Bolna dynamically routes each call across the best ASR, LLM, and TTS models by language, latency, and cost - so you get human-like conversations at scale without tuning infrastructure. We're solving the real-world bottleneck of scaling phone-based interactions without needing to hire, train, or manage large human agent teams. Why our Customers love us Ability to train agents and go live with 1,000s of calls in less than 2 days Massive increase in ROI-with agents matching human performance at 50% of the cost Effortless upscaling and downscaling based on calling requirements Transparent pricing (only per minute) and best-in-class support We are just getting started. If you want to work hard and create lasting impact, we'd like to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company - from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our product. About the role You’ll be a hands-on, high-agency designer with a strong product mindset. You won't just be pushing pixels; you'll design how users create, train, and launch Voice AI agents while deeply understanding the metrics that drive user success. Working closely with engineering and product teams, you’ll ship real features, run funnel analytics, and drive product ideation. If you enjoy sitting at the intersection of design, engineering, data, and business, this role is for you. What you'll

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity AI is a top strategic priority for New Relic, and the Bengaluru design team is at the center of it. The team works across three closely related product clusters: autonomous incident response (SRE Agent, Autopilot, and Intelligent RCA), the intelligence and platform layer that powers them (Ground Truth, Agentic Platform, and New Relic AI), and AIOps for event correlation and incident management. These products share a common design challenge: users need to trust systems that act autonomously, and building that trust through good design is genuinely hard work. This is an on-site role in Bengaluru. Your designers are there, and many of your engineering and product partners are too. Being present — in standups, reviews, and the quick conversations before a decision gets made — is part of how you'll build the relationships that make design effective. You'll also collaborate with design, product, and engineering partners in the US and Spain, so operating across time zones and communicating well in writing are part of the job. You'll manage a small team of designers and own the quality of the work across these products. The design questions here don't have established answers — how do you make an autonomous system legible? How do you build user trust in AI-generated root cause analysis? How do you design a handoff from machine decision to human judgment? If you're already working in AI product design, or actively building toward it, and you want to lead a team

At Bolna, we’re building tools that change the way teams leverage Voice AI. We’re looking for a Founding Machine Learning Engineer to own the end-to-end lifecycle of building, evaluating, deploying, and improving models that power millions of production conversations. This is a high-impact, high ownership role where you won’t just work on Bolna’s ML stack—you’ll help build the foundation it scales on. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities: Build the data engine - Design pipelines to source and clean conversational voice data across Indian languages, accents, and telephony conditions. Fine-tune models that ship - Fine tune and train models to improve accuracy, speed, and reliability across different use-cases. Define what "good" means - Build evaluation datasets and benchmarks for transcription accuracy, voice naturalness, interruption handling, latency, and end-to-end conversation quality. Set up human-in-the-loop pipelines to capture subjective quality at scale. Ship to production - Work with the engineering team to deploy models into a latency-sensitive, high-volume system. Monitor performance in the wild, debug regressions, and iterate fast. Required Skills: 3+ years of hands-on ML experience with deep practical real-world experience in training models. Strong Python and PyTorch fundamentals with exposure in distributed training, and modern fine-tuning techniques (LoRA, QLoRA, DPO, RLHF, etc.). Training data as a first-class problem. Experience designing data pipelines from collection, cleaning, labeling, deduplication, augmentation and treating data quality as a core engineering discipline. Rigorous about evaluation. You know that "looks good in a demo" is not a benchmark. You build the evals before you trust the model. Speech model experience is a plus with real-time / streaming inference experience where you would have contributed to latency optimization

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role Dialpad’s QA team ensures the quality and reliability of our AI-first platform across web, mobile, and backend systems. As a QA Automation Engineer, you will be a hands-on contributor responsible for automation execution and quality ownership of specific features/modules, leveraging modern tools and AI-assisted develop