Aigerim Kurmanbekova

Email
aigerim@berkeley.edu
Phone
+1 (503) 415-9241
LinkedIn
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GitHub
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Location

Berkeley, California

About me

I’m a Product Manager and data-driven Analyst with 4 years of experience scaling AI-powered products. I’m endlessly curious about how people interact with technology, and how we can make that experience better. That curiosity has taken me from Kyrgyzstan to Silicon Valley, from engineering to AI startups, and now to UC Berkeley, where I’m deepening my understanding of product management, data, and emerging tech.

What I do career-wise

Product Management

Launched AI features that increased engagement by 30%.
Scaled company 5x by driving pricing and GTM strategies.
Data Analytics

Used SQL, Python, and Metabase to drive 2%+ lead gains.
Ran A/B tests to inform product decisions.
Technical Program Management | Engineering Management

Scoped features and aligned dev teams at an AI startup.
Shipped security tools and secured SOC 2 and HIPAA compliance.
Product Operations

Built pricing systems and GTM flows that unlocked new revenue.
Helped raise $6.2M in VC funding with financial models and product decks.

Testimonials from my managers & mentors

Chyngyz Dzhumanazarov
Co-founder & CEO, Kodif

I’ve known and worked with Aigerim since September 2021. I hired her fresh out of college and ever since she joined our team, she has been a very valuable team member. Aigerim has a very high sense of ownership. Whenever I have an important task, I know I have to put her in charge as she has a strong ownership mindset and she always performs above and beyond. Without hesitation, I would place Aigerim in the top 1% of people I’ve ever worked with.
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If you have questions about Aigerim's qualifications, please reach out to me at c@kodif.ai
Pranali Khadpe
PM, Microsoft
ex-TPM at LinkedIn

I have had the privilege of mentoring Aigerim through the TechWomen program in Fall 2023 at LinkedIn in Sunnyvale, CA. In the time that Aigerim has worked under my guidance, I have been consistently impressed with their dedication, work ethic, and the remarkable way in which she approaches ambiguity and challenges. Aigerim has proven to be an eager learner, always seeking opportunities to expand her knowledge and skill set.
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If you have questions about Aigerim's qualifications, please reach out to me at pranali.khadpe@gmail.com
Norm Usenkanov
Co-founder & CTO, Kodif

I am the CTO of Kodif, a generative AI low-code startup based in Silicon Valley. I have been a software engineer at Uber, Encyclopaedia Britannica and overall I have 15+ years of software engineering and engineering management experience. I have known and worked with Aigerim for more than 3 years. As CTO of Kodif, I have collaborated with her very closely on our low-code development needs and other technical projects. Aigerim joined Kodif as one of our first employees, and her impact on our organization has been nothing short of remarkable.
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If you have questions about Aigerim's qualifications, please reach out to me at norm@kodif.ai

Logos

Resume

Education

University of California, Berkeley
2024 — 2026 (anticipated)
Master of Information Management and Systems | Product Management and Data Analytics
Kyrgyz-Russian Slavic University
2017 — 2021
B.Eng. Industrial Engineering
Wayne State University
2019 — 2020
Academic Exchange Program, College of Engineering

Experience

Kodif
Business Operations Manager, Product Management Office
Oct 2023 — Aug 2024 | Sunnyvale, CA (remote)
- Launched high-impact feature updates by conducting customer interviews and analyzing product data (Metabase, SQL), resulting in a 30% increase in user engagement.
- Pursued SOC 2 and HIPAA certifications, enhancing security and regulatory adherence.
- Owned and improved pricing strategies and B2B catalog structure to enhance monetization and increase profit margins by 3%.
- Led A/B testing experiments and analyzed results to validate product hypotheses and refine user experience.
- Researched industry trends to shape strategic roadmaps and go-to-market strategies, resulting in 5 new partnerships woth BPOs.
Senior Business Development Analyst
Jul 2022 — Oct 2023 | Sunnyvale, CA (remote)
- Conducted quantitative and qualitative market analysis to identify unmet customer needs, leading to the development of tailored solutions for new verticals such as E-commerce, FinTech, and HealthTech.
- Increased lead conversion by 2% through multi-channel cold outreach strategies and personalized engagement strategies.
- Closely worked with cross-functional teams to iterate MVP features, incorporating feedback from customers.
- Collaborated with engineers to prioritize AI-powered product features based on customer demand and A/B testing insights.
- Led the team of 8 Business & Sales Development Representatives acroos multiple time zones.
Business Development Analyst
Aug 2021 — Jul 2022 | Sunnyvale, CA (remote)
- Created product pitch decks and financial models for VC investors, leading to $6.2m in seed funding from leading VC firms in the Bay Area.
- Acquired the first 10 e-commerce customers through personalized multi-channel outreach.
- As a first hire from an international team, recruited and managed a team of 10 employees globally, driving operational growth.

LinkedIn
Product Management Apprenticeship
Sep 2023 — Nov 2023 | Sunnyvale, CA (on-site)
- As part of the TechWomen Program, mentored by a Technical Program Manager and Principal Engineer at LinkedIn Sales Solutions, gaining deep insights into managing large-scale tech products, product strategy, and cross-functional alignment.
- Developed a Product Requirements Document (PRD) for a lead generation automation tool tailored to B2B SaaS, defining core features, user flows, and technical specifications.
- Leveraged data analytics to inform strategic product decisions, working closely with senior leadership to understand data-driven decision-making frameworks and their role in product lifecycle management.

Relevant Coursework

Data Visualization

Observable Plot, Observable D3.js, Tableau, Figma; Data Exploration, Analysis and Presentation.
Lean/Agile Product Management

End-to-End Product Development (B2B and B2C).
Applied Generative AI and Large Language Models

Transformer Architectures, Prompt Engineering, API integration, and Retrieval augmented generation (RAG).
Data Structures and Analytics

Python
Back-end Web Architecture

Python, Flask, Docker, RDBMS/NoSQL databases, Spark, APIs.
Information Organization and Retrieval

Conceptual modeling, semantic representation, vocabulary and metadata design, classification, standardization, information retrieval practices, technology, and applications.
Information Law and Policy

This course uses various commercial domains—retail, health, credit, entertainment, social media, and biosensing/quantified self—to explore legal and ethical issues including freedom of expression, privacy, research ethics, consumer protection, information and cybersecurity, and copyright.