Sr. Sales Manager - (US Market)

Role & Responsibilities

We’re hiring a Benefits Verification Specialist with 1–4 years of experience in US health insurance eligibility and benefits verification. You’ll be part of our operations team, helping verify insurance benefits for patients receiving speciality care in the U.S.

This is a full-time, in-office role based in Bangalore, with partial overlap with US hours.

Key Responsibilities:

• Perform insurance verification and eligibility checks for commercial and government payers (e.g., Medicare, Medicare Advantage, Medicaid, Managed Medicaid, VA, DoD).
• Validate coverage details including deductibles, co-pay/coinsurance, network status, referrals, prior authorization requirements, and J-code/CPT-code specific benefits.
• Contact payer representatives via phone or payer portals as needed.
• Push back on payer based on previous experience.
• Accurately document findings in internal systems.
• Collaborate with internal teams to resolve missing or mismatched data.
• Collaborate with technology teams to improve data/systems.
• Ensure timely completion of verifications with high accuracy and within defined SLAs.

Ideal Candidate

• Strong Benefit/ Insurance Verification Specialists profile
• Mandatory (Experience 1) – Must have minimum 6 months of hands-on experience in US healthcare insurance eligibility and benefits verification
• Mandatory (Experience 2) – Strong understanding of insurance types — Commercial, Medicare, Medicare Advantage, Medicaid, Managed Medicaid, HMO/PPO, VA, DoD, etc.
• Mandatory (Experience 3) – Experience in verifying deductibles, co-pay/coinsurance, prior authorization requirements, network status, and J-code/CPT/HCPCS-specific benefits.
• Mandatory (Experience 4) – Ability to accurately document benefit details and maintain data in internal systems (CRM, RCM, or EMR platforms)
• Mandatory (Experience 5) – Ability to accurately document benefit details and maintain data in internal systems (CRM, RCM, or EMR platforms)
• Mandatory (Skills) - Good communication skills (Must have calling experience to US audience for claims)
• Mandatory (Note) - Don't want post insurance verification profiles (Accounts receivables AR etc)
• Preferred (Experience) – Prior experience in specialty pharmacy, oncology, infusion therapy, or behavioral health benefit verification.

Perks, Benefits and Work Culture

• Be part of a team solving critical problems in healthcare automation
• High-ownership role in a startup culture with mentorship and fast learning
• Work closely with product and engineering teams building cutting-edge AI agents
• Contribute to improving access to care for patients across the U.S.

About The Role

G2 is looking for a Senior SEO Specialist. As part of our world-class SEO team, your goal is to grow measurable traffic, citations, and conversions on our marketplace and other sites. This is a senior, in-house role where you’ll work across a broad range of SEO and AEO disciplines, from technical optimization and schema to keyword strategy, citations, and experimentation.

This role requires a good technical understanding of the way search engines crawl, index, render, and rank websites. You should also bring good project management and communication skills to be successful.

You will have the opportunity to develop your skills, learn how to navigate a fast-growing startup environment, and be part of a mighty team. You will collaborate closely with Product, Engineering, Content, and Analytics to turn SEO opportunities into shipped, measurable impact.

This position is based in Bengaluru and requires in-office attendance for 2 days in a week.

In This Role, You Will:

• Support the SEO team in developing and executing high-impact, resource-intensive initiatives for our marketplace
• Support G2 localization and drive increased global website traffic
• Own the keyword strategy and content optimization on learn.g2.com and www.g2.com.
• Increase organic and LLM-driven traffic through continuous optimization and experimentation
• Perform comprehensive keyword research and develop detailed keyword/prompt mapping strategies
• Lead competitive SEO and AEO analysis to benchmark performance and identify opportunities for growth
• Partner closely with Product and Engineering teams, serving as the primary SEO point of contact, and implement technical SEO and AEO recommendations at scale
• Optimize internal linking structures, on-page content, and site speed for improved rankings and UX
• Develop deep expertise in Technical SEO and AEO and serve as a trusted SME for the team
• Mentor and coach Jr. and SEO Specialists through guidance, reviews, and shared learning

How We Work

At G2, SEO work is owned from end to end. We believe that the best outcomes come from teams that think holistically, collaborate deeply, and remain curious about their impact. In this role, you’ll be involved across the full lifecycle of SEO and AEO initiatives, including:

• Research and analysis to identify opportunities and inform decisions
• Building clear SEO/AEO cases grounded in data, context, and logic
• Translating ideas into well-defined implementation requirements
• Collaborating closely with partners through sprint planning, execution, and reviews
• Measuring performance, sharing outcomes, and iterating based on results

We value thoughtful problem-solving, strong attention to detail, and proactive communication. Feedback is a core part of how we learn and grow together, and senior team members are expected to apply it consistently to raise the bar for themselves and the team.

How You’ll Spend Time

In this role, your time will be split across systems ownership, experimentation, and cross-functional execution. While priorities may shift based on business needs, your focus will broadly include:

• Search infrastructure and crawl systems (20%): You’ll own and lead initiatives that strengthen the technical foundation of G2’s discoverability. This includes technical audits, crawl and index health, and structural improvements that enhance how search engines interpret and rank G2.
• AEO, entity & answer systems (20%): You’ll help shape G2’s visibility across AI-driven and answer-based search experiences. You’ll partner cross-functionally to diagnose performance shifts and improve our presence across emerging search and LLM ecosystems.
• On-page SEO systems & templates (20%): You’ll lead scalable improvements across key page types to improve rankings, topical authority, and search performance. You’ll also collaborate with Content, Product, and Engineering to ensure templates and modules deliver measurable impact.
• Strategy and experimentation (20%): You’ll model search opportunity, run SEO/AEO experiments, analyze performance shifts, and translate insights into actionable roadmap recommendations.
• Global SEO (10%): You’ll support localization efforts and identify opportunities to grow traffic across international markets.
• Mentorship and technical SME (10%): As a senior member of the team, you’ll mentor junior team members, review work, establish standards, and serve as a trusted technical voice across teams. You’ll help raise the quality bar for execution and thinking across the SEO function.

Minimum Qualifications:

We realize applying for jobs can feel daunting at times. Even if you don’t check all the boxes in the job description, we encourage you to apply anyway.

• Bring 5+ years of proven SEO experience with a strong track record of delivering measurable results
• Demonstrated ability to conduct in-depth SEO data analysis using Excel and related tools to uncover insights and drive strategy
• Possess a strong working knowledge of HTML, CSS, and JavaScript from an SEO perspective
• Deep proficiency with SEO tools such as Ahrefs, SEMrush, Profound, and STAT to monitor performance and guide decision-making
• Strong technical SEO expertise, including experience auditing enterprise-scale websites and translating findings into actionable recommendations for site improvements.
• Working expertise in structured data implementation (schema markup) and its impact on search engine visibility
• Ability to manage multiple SEO/AEO projects at once while keeping priorities aligned to business impact.
• Experience working cross-functionally to advocate for SEO and AEO best practices across the organization
• Strong communicator who can break down complex SEO/AEO insights into clear, actionable recommendations for both technical and non-technical stakeholders
• Possess a strong personal brand and active presence in the SEO community, staying updated on trends and best practices

Nice to Have

• Experience with large-scale marketplaces or SaaS platforms
• Experience with hreflang and international SEO fundamentals
• Exposure to AEO, LLM-driven search, or citations optimization
• Familiarity with log file analysis and crawl budget optimization in large-scale sites
• Experience running or partnering on A/B testing initiatives for SEO, content, or on-page optimization
• Experience managing large-scale taxonomy, faceted navigation, or programmatic SEO architectures
• Engagement with the SEO community (experimentation, writing, speaking)

Inventory Planning and management, ERP Exp. working in Manufacturing or Trading Company with large SKU

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.

REQUIREMENTS:

• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models

Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

Roles & Responsibilities:

• Create and design various materials for print and digital collateral
• Ensure projects are completed with high quality and on schedule
• Establish creative direction for the company as well as brand guidelines
• Prioritize and manage multiple projects within design specifications and budget restrictions
• Perform retouching and manipulation of images
• Work with a wide range of media and use graphic design and video editing software

Scope: