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NegotiateAI

About NegotiateAI (Menlo Ventures Backed)

We're building a revolutionary enterprise platform to enable procurement Superintelligence. Our mission is to transform procurement into a core strategic function, starting with the manufacturing and industrial verticals. Our focus is to streamline indirect spend, delivering exceptional cost savings and operational efficiency to procurement teams everywhere. It's time to bring innovation and efficiency to procurement.

With backing from Menlo Ventures and created by an Apple leader, we're leveraging cutting-edge technologies like agentic AI, LLMs, and Retrieval-Augmented Generation (RAG) to build a platform that guarantees enterprises millions in savings on their indirect spend.

If you're excited about solving complex technical challenges and building a transformative product from the ground up, we'd love for you to join us.

About this role

This foundational teammate will build the infrastructure that powers our AI-driven procurement platform, enabling seamless data categorization and harmonization, Agentic AI-driven benchmarks, and Agentic AI-driven negotiations. You will lay the groundwork for scalable, innovative solutions that transform how enterprises manage their spend.

Core Responsibilities

• Execute the foundational infrastructure for NegotiateAI's procurement platform, enabling seamless integration with ERP systems, supplier databases, and spend analytics tools.
• Execute key technical requirements to optimize workflows for indirect spend categorization with RAG+LLMs, unique part identification extraction, agentic AI-driven benchmarking strategies, and agentic AI negotiation automation.
• Drive test plan and execute on test plan. Debug core issues coming from existing and pilot customers.
• Develop best in class web scraping capabilities, such as price and catalog scraping.
• Execute fundamental platform capabilities that streamline procurement processes, including real-time spend visibility, supplier benchmarking, and automated decision-making. Implement LLM, RAG, and Agentic AI pipelines to process and analyze large-scale procurement data, generate actionable insights, and power intelligent spend recommendations.
• Apply data privacy principles and implement best practices for security, including data anonymization, key obfuscation, tokenization, training models within secure sandboxes, adhering to GDPR standards, and ensuring SOC II compliance.
• Train LLMs and implement agentic AI tailored to procurement, creating intelligent agents that find online benchmarks, clean and triangulate dirty data to find critical part information, find contact information from suppliers online, communicate with suppliers, reduce costs, and drive measurable value for enterprises.

Must haves

• Engineering background, masters of engineering optional
• Self driver, agency, hungry for more than just what's assigned
• 1-3+ years experience (for the junior), 4-8+ years (for the senior)
• 0-1 growing a product in a startup (seed or series A, B)
• Strong track record of iterating quickly on product and growing customer base
• Full tech stack + ML + product sense must. Can code and iterate quickly and scrappily, but can also step back and architect the stack, experience with Node & React.
• A+ player, exceptionally good technically, exceptional leader
• Hungry to build a $B+ VC backed AI enterprise solution

Additional nice to haves

• Prior procurement tech experience
• Prior manufacturing software experience
• Prior experience in MRO (maintenance repair operations) software experience
• Experience with building consumer software and familiar with how to build consumer-grade software
• Experience in scaling and working with enterprise clients

Nudgit

Role: Voice AI Engineer
Location: Delhi, India (On-site)

We're hiring a Voice AI Engineer to own and scale real-time voice AI systems across STT, TTS, streaming audio, and low-latency conversational pipelines. We need someone who has built production voice systems, handled real users, and understands the engineering tradeoffs behind latency, accuracy, concurrency, and reliability.

What you'll work on

You'll build and improve real-time voice AI pipelines involving:

• STT/TTS integrations
• WebRTC / LiveKit / streaming audio infrastructure
• Low-latency voice agents
• Hindi, Hinglish, and Indian vernacular speech workflows
• Turn-taking, interruptions, barge-in, silence detection, and call handling
• Production monitoring for latency, accuracy, concurrency, and reliability

What we're looking for

• 2+ years of production experience in voice AI specifically
• Hands-on experience with STT/TTS pipelines, WebRTC, LiveKit, or similar real-time audio infra
• Experience building systems used in a real organization at scale (telco, consumer app, B2B SaaS, healthcare, fintech, or contact center)
• Demonstrable work with Hindi/Hinglish or other Indian vernacular voice systems is a strong plus
• Ability to show quantified impact: P50/P95/P99 latency, concurrent calls/users handled, WER / accuracy improvements, call volume or user scale, uptime/reliability improvements

Strong signals

• Built or owned a real-time voice agent in production
• Worked with LiveKit, Twilio, WebRTC, Deepgram, ElevenLabs, Google STT/TTS, Azure Speech, or similar tools
• Optimized streaming latency end-to-end
• Handled noisy audio, accents, code-switching, or multilingual speech
• Can debug production issues across audio, infra, LLM, STT, and TTS layers

Not a fit if

• Your voice AI experience is limited to hackathons or demos
• You have only built chatbot/LLM apps without real-time audio
• Your resume has no quantified outcomes around latency, scale, accuracy, or reliability

Ideal profile

Someone who has already shipped voice AI to real users, knows why production audio systems break, and can independently own a low-latency voice stack from prototype to scale.

Drive

Noumenal AI

Noumenal is building AI that runs the physical world — software that observes a real operation, decides what to do, and acts under noise, latency, and consequences. The output is an action taken against a live system, not a prediction on a screen. The physical world we're going after: factories, datacenters, hospitals, and supply chains.

The hard part was never the model. It's everything between a model's output and a reliable action in a noisy, distributed, resource-constrained environment — infra, data pipelines, deployment, and control loops that hold under pressure. That gap is the company, and it's also this role.

The Role

You own the production platform that turns our intelligence into reliable real-world operation: data, ingestion, deployment, runtime, and the systems around them. The ML and agent research belongs to the research team — making it run, at scale, under conditions that don't forgive sloppy systems, is yours.

This is a Principal Engineer role: ~80% hands-on building, ~20% technical leadership — design review, setting standards, and mentoring the engineers who join after you. You lead through architecture, not headcount; no direct reports. You've taken systems 0→1 and scaled them 1→100, and you know they're different jobs. We're looking for roughly 6–10 years of building serious backend and infrastructure systems.

What You'll Own

- The platform that carries model output → decision → real-world execution, end-to-end and reliably, with every output traceable.
- The data pipelines that turn high-volume, noisy multimodal operational data into clean, query-ready inputs — handling today's volumes, architected for tomorrow's.
- Multi-tenant deployment at fleet scale: dozens of independent, isolated, turnkey customer deployments.
- The compute backbone that absorbs heavy, bursty workloads without paying for idle capacity in between — cost-efficient Kubernetes past stock autoscaling.

Representative Projects

- Build the data pipeline that turns raw, noisy multimodal operational data into clean, query-ready inputs — reliable, cheap, and built to scale well past pilot volumes.
- Make a new customer deployment turnkey: an isolated, deployment-ready instance that takes onboarding from weeks toward days.
- Build the dynamic compute layer that absorbs heavy, bursty processing across the customer fleet, without paying for idle capacity between runs.
- Drive a real infra-cost reduction (storage, compute, egress) with cost-efficient Kubernetes beyond stock autoscalers.

You'll Thrive Here If

- You've designed and scaled distributed systems in production, and reason fluently about failure modes, not just happy paths.
- You've run large ETL/ELT workloads and have hard-earned opinions about ClickHouse / data-warehouse / columnar design.
- You're at home with cloud, ECS, Kubernetes, CI/CD, and event-driven architecture — building them, not just consuming them.
- You work comfortably at the level of abstraction the problem needs — dropping low when latency demands it, staying high when the system demands it.
- You move fast in ambiguity and turn a fuzzy goal into shipped, scaled, observable systems.

Strong candidates often also have

- Deployed to constrained edge / physical systems — low compute, intermittent connectivity, sensors and actuators in the loop.
- Owned high-stakes production where an outage had real-world consequences, not just a Slack apology.

A non-linear background is welcome — if you've done the work, we don't care about the path.

The Stack You'll Work In

Go services, Postgres (control plane), ClickHouse (operational timeseries), MinIO/S3 (raw + artifacts), a Python ML service over gRPC, Kubernetes, and event-driven service contracts. We pick boring, durable infrastructure on purpose and spend our novelty budget where it actually differentiates us.

Where We Are

Seed-stage, backed by top AI investors. We're already running live pre-pilots with real industrial customers — the systems you build go straight into operations, not a demo. The founding team is small and senior; this hire is core.

Logistics

- Work model: In person, Indiranagar, Bangalore. Expect travel to customer industrial sites.
- Compensation: Competitive base + meaningful founding equity, discussed early in the process.
- Seniority: Founding-level; ~6–10 years; Principal Engineer scope.

MonoCloud

About MonoCloud

MonoCloud is an identity platform for companies building modern SaaS products, B2B applications, AI platforms, and enterprise software. We help companies handle authentication, enterprise SSO, SCIM provisioning, passkeys, customer identity, machine-to-machine access, workload identity, API security, and authorization policies from one platform.

Identity is no longer just about a login page. Companies now need to manage access for customers, enterprise tenants, employees, partners, services, devices, APIs, and AI agents. MonoCloud gives them a modern, secure, and developer-friendly way to do that without building core identity infrastructure themselves.

The role

We are looking for a senior Enterprise Account Executive to help build MonoCloud's commercial presence. This is a hands-on role for someone who can open doors, run discovery, build relationships with technical and executive buyers, manage complex sales cycles, and close high-value opportunities.

You will work directly with the founder and product team. You will not be joining a large, established sales machine with a mature inbound funnel and a long list of reference customers. You will help create the sales motion: identifying the right customer segments, refining messaging, developing account plans, progressing opportunities, and turning early wins into a repeatable process.

The ideal candidate understands enterprise software sales and is comfortable selling a technical product into security, engineering, product, and IT teams.

What you will do

- Build and manage a pipeline of enterprise and high-growth technology customers for MonoCloud.
- Prospect into target accounts across SaaS, fintech, financial services, healthcare, marketplaces, AI platforms, developer tools, and B2B software companies.
- Run outbound account-based sales motions through direct outreach, LinkedIn, email, events, partner relationships, founder networks, and targeted prospecting.
- Own opportunities from first conversation through discovery, demos, security review, commercial negotiation, procurement, and close.
- Build relationships with CTOs, CISOs, CIOs, VP Engineering, Heads of Security, Product leaders, platform teams, and IAM owners.
- Translate MonoCloud's technical capabilities into clear commercial and business outcomes for different buyer personas.
- Work closely with the founder on strategic sales conversations and help reduce dependence on founder-led selling over time.
- Lead structured discovery to understand the prospect's authentication, SSO, enterprise onboarding, provisioning, security, and access-control challenges.
- Coordinate product demos, proof-of-concepts, technical validation, security questionnaires, and solution discussions with engineering and product teams.
- Develop account plans for strategic prospects and map decision-makers, technical champions, procurement stakeholders, and buying processes.
- Maintain accurate CRM data, pipeline stages, forecasts, activity tracking, and next-step discipline.
- Help refine sales messaging, objection handling, competitive positioning, qualification criteria, pricing feedback, and sales collateral.
- Represent MonoCloud at customer meetings, industry events, startup ecosystems, security communities, and identity-focused conferences where relevant.
- Share market feedback with product and engineering, especially around enterprise requirements, integration needs, security expectations, and buying objections.

What we are looking for

- 5–10+ years of B2B SaaS or enterprise technology sales experience.
- Experience selling complex software products to mid-market and enterprise customers.
- Strong experience selling into technical buyers, especially engineering, security, platform, IT, developer, or product teams.
- Experience in one or more of the following areas is strongly preferred: identity and access management, cybersecurity, developer infrastructure, cloud infrastructure, API security, enterprise SaaS, DevOps, platform engineering, or data infrastructure.
- A demonstrated record of consistently meeting or exceeding revenue targets.
- Ability to run multi-stakeholder sales cycles rather than relying only on transactional or SMB sales.
- Comfort discussing technical concepts such as authentication, SSO, SCIM, OAuth, OpenID Connect, APIs, passkeys, machine-to-machine access, or security architecture. You do not need to be an engineer, but you must be credible with technical teams.
- Strong written and verbal communication skills.
- Excellent discovery, presentation, negotiation, and follow-up discipline.
- High ownership and comfort operating in an early-stage environment where process is still being built.
- Ability to work independently while collaborating closely with founders, product, engineering, and marketing.
- Willingness to travel for customer meetings and events when needed.

Nice to have

- Experience selling IAM, CIAM, SSO, SCIM, MFA, privileged access, API security, cloud security, or developer tools.
- Experience selling against or alongside vendors such as Okta, Auth0, Microsoft Entra, Ping Identity, ForgeRock, WorkOS, Clerk, Stytch, CyberArk, SailPoint, Descope, or similar companies.
- Existing relationships with technology leaders, security leaders, SaaS founders, system integrators, or enterprise IT buyers in India.
- Experience selling to customers in the United States, Europe, Middle East, or Southeast Asia from India.
- Experience in an early-stage startup, especially one where the founder is deeply involved in sales.
- Experience using tools such as HubSpot, Salesforce, LinkedIn Sales Navigator, Apollo, Outreach, or similar prospecting and CRM platforms.

What success looks like

In the first 90 days, you will:
- Develop a strong understanding of MonoCloud's product, ideal customer profiles, use cases, and competitive position.
- Build a focused list of target accounts and begin creating a qualified pipeline.
- Run customer discovery calls and contribute to improving sales messaging and qualification.
- Establish a disciplined outbound process and consistent opportunity-management rhythm.
- Support founder-led deals while beginning to independently progress opportunities.

Within 6–12 months, you will:
- Build and own a meaningful qualified pipeline.
- Close early strategic customers and create repeatable sales learnings.
- Establish a clear account-executive playbook for MonoCloud.
- Help identify the strongest customer segments, buyer personas, sales triggers, and commercial packaging.
- Become a trusted commercial voice for prospects, customers, product, and internal leadership.

Why join MonoCloud

- You will join at a stage where your work directly shapes the company.
- You will not just inherit a territory and a quota. You will help define how MonoCloud sells, who we sell to, which use cases resonate, and what our enterprise sales motion becomes.

Stealth Startup (AI x ERP)

LuppaAI

Company Description

Luppa AI is an all-in-one AI-powered content creation platform that helps businesses and creators generate high-quality text, images, and videos. We're looking for a meticulous QA Tester to ensure the functionality and reliability of our platform through thorough testing, clear documentation, and effective communication with our development team.

Responsibilities

Productize our feature launch process that clearly and effectively reaches our audience and drives adoption
Collaborate closely with our content, brand, communications, and community teams to create the defining category of knowledge discovery
Obsess over every user communication, key positioning statement, and marketing copy to make Luppa accessible to non-technical audiences and new-to-AI
Own all external user touch points via email, implementing lifecycle marketing practices. You simplify the complex.
Lead vertical campaigns to bring specific use cases to life — from cooking to coding.

Qualifications

4+ years of experience working at a fast-paced SAAS company
You’ve shipped a lot of features. You’ve made mistakes while doing so. You know how to make a splash.
You have incredible taste in positioning and making a novel technology accessible to the masses
You have an owner mentality — you move fast and are willing to get your hands dirty. You’re motivated by aggressive timelines and thrive in a 0-to-1 environment.
You’re a natural creative that can not only generate ideas, but also execute with precision and urgency.
You can influence product strategy via a thorough understanding of the customer and the competitive environment.

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