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Founder’s office - AI Enablement

SignEasy -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
7 hours ago

Qualifications

Contract management
MCP
Project management
APIs
AI

Full job description

Location: Bengaluru, Karnataka, India

Full-time

About Signeasy

Contracts run businesses. We are unlocking the intelligence inside them.

Signeasy began fifteen years ago with a simple idea: document signing should be effortless. That idea helped the world go paperless. Today, more than 48,000 businesses worldwide trust Signeasy, and over 100 million contracts have been signed on our platform. Our products are rated 4.7/5 on G2 and Capterra, have earned Apple’s Editor’s Choice, and have been recognized on the global stage by Apple, Google, and Microsoft. But signatures were only the beginning.

Contracts define revenue, risk, compliance, and growth. Yet in most companies they remain scattered across systems, frozen in PDFs, and forgotten after execution. We believe contracts are one of the most valuable — and most neglected — data assets in a business.

2025 marked our inflection point. While others continued to treat contracts as paperwork, we started turning them into living, searchable, intelligent systems of record. We shipped over 250 product releases, achieved 21 CFR Part 11 compliance, and built the foundation for Intelligent Contract Management.

2026 will be our biggest year yet. With the launch of Intelligent Contract Management, we are going to market with an AI-powered contract management platform built for modern teams who expect more than storage, signatures, or status quo software.

This is the moment. And this is the team building it — a Great Place To Work certified company, made with love in Bangalore and Dallas. If you want to help shape the future of contracts with us, read on.

To know more, visit www.signeasy.com

The Core Mandate

This Founder's Office in this role is essentially an internal transformation agent — not building AI products, but rewiring how the company operates using AI.

Key Focus Areas

1. Workflow Audit & AI Opportunity Mapping

Map every repeatable, high-volume internal process
Identify where AI can augment, accelerate or replace the task
Prioritize by ROI and implementation effort
Expected areas for quick wins: Support, CX, Marketing, GTM ops, Finance

2. Tool Consolidation & AI Stack Design

Pre-AI orgs typically run 30–50 fragmented SaaS tools
Rationalize the stack around AI-native alternatives
Build the connective tissue (MCP, APIs, automations) between systems

3. Prompt & Process Institutionalization

Turn tribal knowledge into structured, AI-ready workflows and skills
Build internal prompt libraries, SOPs, and playbooks
Make institutional knowledge retrievable by AI, not just humans

4. Change Management & Adoption

Train teams to think AI-first before reaching for manual processes
Create internal champions in each function

5. Measurement

Define productivity baselines before and after deployment
Track time saved, headcount leverage, and output quality
Report to the founder/board in business terms, not tech terms

6. Hiring Bar Reset

Redefine job roles and responsibilities across functions for AI fluency
The right question: does this person think in systems, not just use AI tools?

6. Drive execution cadence & leader accountability

Run monthly AI Council readout (1-page: wins, value delivered, blockers, laggards, decisions needed).
Publish transparent performance views (leader scorecards, top wins, laggards) in a constructive manner.

The Typical 90-Day Arc

Phase

Timeframe

Focus

Audit & Map

Days 1–30

Audit workflows, map AI opportunities, identify 3–5 quick wins

Deploy & Build Credibility

Days 31–60

Execute quick wins, demonstrate ROI, build internal trust

Roadmap & Scale

Days 61–90

Present full transformation roadmap to leadership with business case

The Hardest Part

It's not the technology — it's organizational inertia. People protect their workflows because workflows = job security in their minds. Create an environment to assure peace of mind and support them to reimagine their functions in AI-native era. The only goal here is figuring out new ways of working and new ways to contribute that will get the value delivered to our customers in the most efficient and effective manner. The best CoAI practitioners are as much organizational psychologists as they are AI practitioners.

Key Success Factors

Start with high-visibility, low-risk wins to build credibility
Always frame in business outcomes, not AI capabilities
Get a sponsor at the leadership level before starting
Don't boil the ocean — focus beats breadth in the first 90 days
Document everything: before/after, time saved, errors reduced

Key Outcomes

Customer-Service Agent — Build and ship the production AI agent that handles member FAQs, onboarding, and troubleshooting across our boutique-homes portfolio.

Sales Agent — Build and ship the production AI agent that qualifies inbound leads, drafts personalised responses, and schedules viewings.

MCP Connector Stack — Wire every queryable Figment system (property management, CRM, project management, drive, accounting, banking) into a unified agent-accessible layer.

Property Underwriting Automation — Automate the real-estate deal model: listing-to-memo pipeline that compresses cycle time and 10x's pipeline volume.

Deal sourcing Outreach — Build the agents that source supply at scale — personalised outbound to property owners (real estate) and landlords (boutique homes).

Team-Wide Automation Rollout — Ship custom AI workflows to each Figment team member; every direct report gets time back.

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