# Enterprise Sales (BFSI) at Bolna > Onsite · India · Mid-level · Other · open. Source: https://alderhq.app/jobs/ashby%3Abolna%3A386b48dd-4e7f-4c01-a0cc-ce6da16ca63b (read 2026-11-05). ## Facts (observed) - Company: [Bolna](https://alderhq.app/companies/bolna) - Location text: Bengaluru - Where it can be done from (inferred): Onsite · India (evidence: "Location lists "bengaluru"") - Posted: 2026-10-15 (22 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/bolna/386b48dd-4e7f-4c01-a0cc-ce6da16ca63b ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Bengaluru, n 22): p25 ₹3.3L, median ₹9.5L, p75 ₹53L ## Description (the employer's text) ### 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. ### About the role You will own new-logo sales into Banks, NBFCs, Insurers and Fintechs for Bolna's Voice AI products: voice agents, workflows and analytics. This is a hunter role. You will find the accounts, build the relationships, create the pipeline and see deals through a long BFSI sales cycle, working directly with the Lead, GTM & Sales. It suits someone who has sold software to BFSI buyers, enjoys early-stage ambiguity and wants high ownership. ### Key responsibilities The core of the role is finding new BFSI accounts and turning them into a steady, qualified pipeline. Account scouting: identify and prioritise new BFSI accounts (banks, NBFCs, insurers, fintechs) and map the right decision-makers Pipeline creation: build a lead pipeline from scratch through networking, cold outreach, referrals and industry events Relationship building: develop and nurture client relationships through consistent engagement, meetings and follow-ups across a long sales cycle Lead follow-up: qualify inbound and outbound leads and follow up persistently so no opportunity goes cold Full-cycle selling: understand client requirements in depth, run product demos of Bolna's voice agents, workflows and analytics, negotiate pricing and close deals Internal collaboration: work with Business, Product and Marketing teams to understand the product deeply, pass client feedback and requirements back, and plan events that showcase Bolna's solutions Market research: track BFSI trends, new categories and product gaps, and monitor competitors' solutions, strategy and pricing ### Requirements Candidates must have 2–3 years of B2B sales experience in SaaS or Voice AI, with BFSI clients as their core market. 2–3 years of experience selling B2B SaaS or Voice AI products to BFSI clients (banks, NBFCs, insurance, fintech) Proven track record of sourcing new accounts and building pipeline, not only managing existing ones Hands-on experience across the sales cycle: prospecting, discovery, demos, pricing negotiation and closure Ability to understand client requirements and deliver clear, credible product demos Strong written and verbal communication Skill at building and sustaining relationships through a long, multi-stakeholder BFSI sales cycle Demonstrated high ownership in previous roles Comfort working in a fast-paced environment ### Good to have Prior startup experience Existing network among BFSI decision-makers (CXOs, heads of operations, collections, customer experience, digital or contact centre) ### Why Bolna The hottest team in the hottest market in India right now Working with CXOs and Senior PMs of massive enterprises Direct access to founders and product-your work to sell You'll develop a rare, high-value skill set at the intersection of AI, product, and customer success Competitive compensation for early-career profiles Bengaluru office, in-person team collaboration --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Abolna%3A386b48dd-4e7f-4c01-a0cc-ce6da16ca63b and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.