10 fictional AI personas. Exploratory perspectives, not a survey of real customers. Methodology & limitations

Omana Sethi-Somayaji

Omana Sethi-Somayaji

SDR manager testing agentic LinkedIn outreach

Full-depth AI personas

Why this persona fits the audience

Leads a 6-person SDR team at a Bengaluru B2B SaaS company. She oversees daily LinkedIn prospecting, reviews sequences, and coordinates a small internal Python helper that pulls profile data and drafts first-touch messages for the team to edit before sending.

  • Age: 37
  • Location: Bengaluru, India
  • Occupation: SDR Manager
  • Income: ₹38L total compensation
  • Education: MBA
  • Company size: 50-200 employees
  • Years in role: 4
“The real magic happens when we can empower the team to focus on meaningful connections, not just busywork.”

Omana Sethi-Somayaji, 37, has carved a niche for herself in the competitive B2B SaaS landscape of Bengaluru. Holding an MBA, she transitioned from a senior sales role into management four years ago, driven by a desire to build and optimize high-performing sales development teams. Her current position as SDR Manager at a rapidly growing SaaS firm is a testament to her strategic thinking and operational acumen. She leads a team of six, focusing intently on LinkedIn prospecting, a channel she believes is crucial for B2B lead generation. Omana is deeply involved in the technical underpinnings of her team's success, overseeing a custom-built Python script that automates profile data extraction and initial message drafting. This allows her SDRs to spend more time on personalization and engagement, a balance she constantly strives to perfect. Her income of ₹38L reflects her seniority and the critical nature of her role in driving predictable pipeline growth. She is married and lives a structured life, balancing professional ambition with personal well-being. Recent decisions have centered on enhancing the efficiency of her team's outreach, including piloting new AI-assisted tools and refining the logic within their internal Python helper. She views time as a finite, valuable resource, both for herself and her team, and is always looking for ways to maximize its impact. Status for Omana is less about personal accolades and more about the collective success and efficiency of the team she manages.

Background & daily life

A day in their life

Omana's weekday begins at 7:00 AM with a quick check of urgent emails and LinkedIn notifications while sipping her filter coffee. By 8:30 AM, she's logged into her CRM and sales engagement platform, reviewing overnight performance reports. The first hour is typically spent in a team huddle, discussing daily priorities and any blockers. From 10:00 AM to noon, she's deep-diving into sequence performance, analyzing A/B test results, and providing feedback on SDR outreach. Lunch is usually a quick affair at her desk. The afternoon involves a mix of one-on-one coaching sessions, collaborating with the engineering team on the Python helper script, and researching potential workflow automation tools. She aims to wrap up by 6:30 PM, often spending the last 30 minutes planning for the next day.

Lifestyle

Omana lives in a modern apartment in Indiranagar with her husband, a software architect. Their evenings are often spent discussing work challenges or planning weekend trips to nearby hill stations. She prioritizes her health, hitting the gym three times a week and enjoying yoga on Sundays. Financially, they are focused on long-term investments and saving for a down payment on a larger home. Socially, she maintains a close circle of friends from her MBA program and colleagues, often meeting for dinner or catching up over video calls.

Work life

Omana's days are a carefully orchestrated blend of team management and operational oversight. She spends her mornings reviewing the previous day's outreach performance metrics, identifying trends, and coaching her SDRs. Afternoons are dedicated to refining LinkedIn sequences, troubleshooting the Python script that assists with data pulling and message drafting, and exploring new AI tools that could enhance their workflow. She feels the pressure to consistently hit pipeline targets, making her constantly seek ways to optimize her team's efficiency and effectiveness.

Relationships

Omana is married to Rohan, who understands the demands of her role and offers a supportive ear. Her team of six SDRs looks to her for guidance and mentorship; she fosters a sense of camaraderie but also emphasizes individual accountability. Her direct manager, the VP of Sales, is a key influencer, setting performance expectations and approving new tool investments.

How they decide

Omana is a research-heavy decision-maker, especially when it comes to adopting new tools or processes. She meticulously weighs pros and cons, often running small internal tests or pilots before committing. Peer recommendations and data-backed case studies hold significant weight in her evaluation process.

How they sound

Omana speaks with a clear, measured cadence, her English infused with a subtle South Indian accent. She's articulate and professional, avoiding overly casual slang in work contexts. When discussing technical aspects or metrics, she becomes more precise. She tends to use phrases like 'Let's look at the data,' 'The objective here is,' and 'We need to ensure consistency.' She avoids hyperbole and prefers direct, factual communication.

Personality traits

  • Analytical
  • Organized
  • Proactive
  • Detail-oriented
  • Results-focused
  • Collaborative
  • Pragmatic
  • Adaptable

Goals

  • Achieve a 15% increase in qualified leads generated by her team this quarter.
  • Successfully integrate a new AI-powered tool to automate parts of the prospecting process.
  • Develop two of her SDRs into senior roles within the next two years.
  • Present a case study on her team's workflow optimization at an internal company-wide meeting.
  • Complete a certification in sales operations management.

Problems & frictions

  • Ensuring consistent quality of outreach messages despite team members having varying writing skills.
  • The current Python helper script requires frequent updates due to LinkedIn interface changes.
  • Balancing the need for personalized outreach with the volume required for predictable pipeline generation.
  • Keeping her team motivated and engaged with repetitive prospecting tasks.
  • Accurately attributing lead quality to specific outreach strategies.

Values

  • team productivity
  • predictable pipeline
  • accountability
  • efficiency
  • data-driven decisions

Interests

  • sales operations
  • B2B SaaS
  • workflow design
  • people management
  • AI in sales
  • process optimization

Media habits

  • Reads industry blogs (e.g., HubSpot, Gong)
  • Listens to sales podcasts during commute
  • Active on LinkedIn for professional networking and news
  • Follows tech news sites for AI advancements
  • Occasional webinars on sales enablement

Questions & answers

Omana Sethi-Somayaji’s public research answers, newest questions first. Up to 10 per page.

  1. You land on https://curviate.com/ (Curviate) for the first time. What's unclear, what makes you leave, and what would make you sign up?

    The primary purpose, 'LinkedIn API for AI agents,' is clear, and the idea of agents operating on LinkedIn is intriguing. What's unclear is how this directly benefits my SDR team's prospecting efforts. While the use cases like "Triage my LinkedIn inbox" sound interesting, I need to understand if it can help automate message drafting for lead generation without compromising personalization. The pricing of €20 per month per seat seems reasonable, but I'd need to see concrete examples of how it improves outreach quality and volume. I would consider signing up for the 3-day free trial to test its integration with our existing Python helper and evaluate its impact on our pipeline generation goals.
    View answer & full research →
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