Okta: Digital Solutions Manager (Recruiting Tech & Learning Platforms) — Bengaluru, India

About Okta

Okta develops identity and access management software. Its platform, alongside the Auth0 developer product, handles authentication, single sign-on and access control for employee, partner and consumer-facing applications, helping organisations manage who can use which technology. Workforce and customer identity are addressed through separate but connected product lines, and its employer feed lists engineering, cloud and related roles supporting these identity products.

The position and its setting

Okta lists Digital Solutions Manager (Recruiting Tech & Learning Platforms) in Bengaluru, India, under reference 8267278. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Total Rewards-132
• Employer listing date: 9 October 2026

Subjects named in the job description

The posting mentions the following work areas. These references are not a separate list of compulsory certifications.

• AI/ML
• machine learning
• AI
• maintenance
• compliance
• recruitment
• training
• technical documentation
• stakeholder management

Essential requirements and candidate background

• Deep expertise in recruiting systems (ATS, CRM, interview platforms) and Learning Management Systems (LMS)
• Experience: system configuration, architecture, and administration
• Experience leading system implementations and managing medium-to-large complexity technical initiatives
• Understanding: data models, reporting, and system governance
• Troubleshoot complex issues and perform root cause analysis
• Experience leveraging automation to improve operational efficiency
• AI fluency, including familiarity with AI/ML applications and AI-enabled features in recruiting and learning platforms
• Operate independently in ambiguous environments and translate business needs into technical solutions
• Why This Role Matters
• This role is foundational to how Okta scales its recruiting and learning capabilities
• Build and maintain the systems that enable efficient hiring, effective learning, and data-driven decision-making across the organization
• Your work will directly impact operational efficiency, user experience, and the company's ability to grow with the right talent and capabilities
• #LI_Hybrid
• #LI_P25165_3577136
• The Okta Experience
• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community
• We are intentional about connection
• Our global community, spanning over 20 offices worldwide, is united by a drive to innovate

Location, schedule and contract conditions

• Advertised location: Bengaluru, India

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Digital Solutions Manager (Recruiting Tech & Learning Platforms) vacancy is not an offer for reference 8267278; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Okta

Applications follow the official employer page linked below.

Open the official Okta posting below and match the title and reference 8267278.

Compare your qualifications and experience with the essential conditions for the Bengaluru, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: machine learning

For machine-learning work, describe the problem, the data and the evaluation setup. Explain the baseline, the metric and the part you owned; mention deployment or monitoring only when you worked on it.

Relevant skills

• AI/ML
• machine learning
• AI
• maintenance
• compliance
• recruitment
• training
• technical documentation
• stakeholder management