Demo Engineer / Presales Solutions Consulting

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Lead Demo Engineer Here at Appian, our core values of Excellence and Intensity define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. SC 2.0 is the engine powering our vision . Appian's Sales Solutions Consulting team is in the midst of an exciting transformation -- redefining what it means to be a trusted advisor in today's fast-paced, mission-driven environment. Our SCs don't just demo features -- they tell stories, co-create with customers, and help shape strategy with technical credibility and business insight. Read More About SC 2.0 Here You can listen to our Global SSC leader, Gregg Aldana discuss SC 2.0 here . The SPEAR Team (Strategic Presales Execution and Readiness) is the operational engine behind Appian's global Presales organization -- the team that builds the tools, assets, governance, and infrastructure that let Solutions Consultants do their best work. As Lead Demo Engineer on SPEAR, you are not on the sidelines of SC 2.0 -- you are leading one of the teams that makes it possible at scale. The Role Are you a seasoned Appian developer with a passion for crafting impactful technology solutions and mentoring others? As the Lead Demo Engineer for Appian's SPEAR Team in Chennai, you'll take on a dual

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 Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. The role “The ideal forward deployed builder is a composite. Not a software engineer, not a product manager, not a solutions architect or a salesperson — but able to draw on any of these to solve the customer’s problems, in the customer’s building, on the customer’s timeline, against the customer’s data.” Ema is building the Universal Agentic Control Plane — the layer where enterprises turn messy, human-run business processes into AI Employees that actually do the work. The platform is powerful. The bottleneck is people who can walk into a customer’s world, see what should be automated, and make it real. That’s this role. We’re looking for a Forward Deployed Builder to embed inside our customers and partners, find the highest-value opportunities for agentic automation, solution them, build the demo, win the deal, and then stay to implement it in production. You go in alone, Rambo in the jungle, armed with your wits, your skills, and the most powerful agentic platform on the market. We’ll train you hard before you deploy. After that, the territory is yours. This is not a support role behind an account team. You are the account team, the solutions architect, and the builder, compress

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. In this role, you will: Collaborate with the sales leadership to understand customer requirements and enable technical solutions deployment based on customer needs. Develop an in-depth understanding of Ema’s technology and underlying architectures Deliver compelling product demonstrations tailored to the specific needs of potential customers, showcasing key features and benefits. Work closely with customers to execute successful PoCs, demonstrating the feasibility and value of Ema in their environment. Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes. Collaborate with customers to design and architect solutions that align with their business goals, ensuring seamless integration with existing systems. Drive project teams towards common goals of accelerating the adoption of Ema’s solutions. Demonstrate and communicate the value of Ema’s solution throughout the engagement, from demo to proof of concept to running workshops, design sessions and implementation with customers and stakeholders. Help take Ema’s solution from POC to production. Understand customers cloud/on-prem environment and their unique needs f

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Be part of a cutting-edge AI data collection project, capturing real-world actions and annotating video footage to train next-generation robotics. 📍 Location: Marathalli, Bengaluru 📍Shift: Night Shift Options: 8:30 PM – 3:00 AM | 9:00 PM – 6:00 AM 📍 Salary: ₹27,000/month + Incentives 📍 Work Location: Kitchen / In-Office Setup About the Role We are looking for motivated individuals to join our night shift data collection team for an AI robotics project. As a Data Collector & Annotator, you will record structured video footage of real-world tasks and annotate the recordings to help train robotic systems. This role operates across two night shift environments — a kitchen setup and an in-office setup — depending on your assigned location. Your shift and location will be confirmed at the time of onboarding. No prior experience in AI or technology is required. Full training is provided before you begin work. Key Responsibilities • Record structured video footage of assigned tasks using a camera device (iPhone on chest mount) • Follow the prescribed annotation format — clearly stating task names, commands, and action sequences during recording • Perform physical actions accurately as per the task list assigned for the shift • Submit demo recordings within the designated time window for quality review • Maintain consistent quality standards as trained — script compliance, action accuracy, and environment setup • Follow guidance from the Supervisor and Trainer during the shif

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Be part of a cutting-edge AI data collection project, capturing real-world actions and annotating video footage to train next-generation robotics. 📍Location: Marathalli, Bengaluru 📍 Shift: Morning: 6:00 AM– 2:30 PM | 📍Evening: 1:00 PM – 8:00 PM 📍 Salary: ₹25,000/month +Incentives 📍 Work Location: Airbnb / Kitchen Setup About the Role We are looking for motivated individuals to join our data collection team for an AI robotics project. As a Data Collector & Annotator, you will record structured video footage of real-world tasks and annotate the recordings to help train robotic systems. This role operates across two environments — household setups (Airbnb locations) and a kitchen setup — depending on your assigned location. Your shift and location will be confirmed at the time of onboarding. No prior experience in AI or technology is required. Full training is provided before you begin work. Key Responsibilities • Record structured video footage of assigned tasks using a camera device (iPhone on chest mount) • Follow the prescribed annotation format — clearly stating task names, commands, and action sequences during recording • Perform physical actions accurately as per the task list assigned for the shift • Submit demo recordings within the designated time window for quality review • Maintain consistent quality standards as trained — script compliance, action accuracy, and environment setup • Follow guidance from the Supervisor, Trainer, and Live QA during the shift • Complete the s