About the Role

As a member of the Founder's Office, you will be the bridge between high-level vision and operational excellence. The moment our B2B Growth team secures a partnership, you take the baton - becoming the Single Point of Contact (SPOC) and ultimate owner of the partner's success. Every commitment made on paper, you turn into a seamless, high-impact reality.

This role is far more than managing a checklist. You will navigate internal Business Units (BUs), align complex Standard Operating Procedures, and ensure our partners view us as an indispensable extension of their own team. If you thrive in ambiguity, lead through influence, and get satisfaction from making big things actually work - this is your seat.

Key Responsibilities

• End-to-End Partnership Management. Take full ownership of the partner lifecycle post-onboarding - driving partner experience, retention, and the overall success of every collaboration.
• Cross-Functional Orchestration. Act as the connective tissue between the partner and internal teams. Work closely with BU Heads across Care, Product, and Operations to align workflows with the SLAs and health outcomes promised to the partner.
• Operational Excellence (SOPs & SLAs). Define, implement, and continuously monitor the Standard Operating Procedures required to deliver on partnership goals. Ensure internal delivery consistently meets the Service Level Agreements committed during the sales process.
• Communication & Reporting. Lead all partner communications. Build and share comprehensive scoreboards and performance dashboards that provide transparency on business metrics, health outcomes, and project milestones.
• Revenue & Commitment Delivery. Ensure all contractual obligations are met to trigger timely payments. Proactively identify and unblock hurdles that prevent us from delivering on our value proposition.
• Founder's Liaison. Provide regular strategic updates to the Founder on partnership health - surfacing risks early and proposing solutions to scale the B2B ecosystem.

What We're Looking For

• The “Owner” Mentality. You don't wait for instructions. You see a gap in the process and you bridge it. You feel personally responsible for the partner's ROI.
• Stakeholder Management. You can navigate a room full of BU Heads, influence without direct authority, and align everyone toward a common business metric.
• Data-Driven Rigor. You are comfortable living inside scoreboards. You translate raw data into a narrative that proves value to a partner.
• Precision Communication. Whether it's a high-stakes email to a partner CEO or an internal Slack note to a care lead, your communication is clear, professional, and results-oriented.
• Project Management Expertise. A proven track record of managing complex, multi-layered projects where missing a deadline isn't an option.

Education, Experience & Technical Skills

Education

• Bachelor's degree required in Engineering, Business, Economics, or a related discipline from a reputed institution.
• MBA strongly preferred from a Tier-1 B-school (IIM, ISB, XLRI, FMS, or equivalent).

Experience

• 5–8 years of total experience, with at least 3 years in partnership management, key account management, customer success, strategy & operations, or top-tier management consulting.
• Demonstrated ownership of high-value B2B relationships where you were directly accountable for retention, renewals, or revenue delivery.
• Healthcare, digital health, or B2B SaaS exposure preferred. Comfort with clinical or care-delivery stakeholders is a strong plus.
• Founder's Office, Chief of Staff, or Program Management experience in a high-growth startup environment is highly desirable.
• Proven track record of leading cross-functional initiatives across Product, Operations, and customer-facing teams.

Technical Skill Set

• Project Management Tooling. Hands-on with Asana, Jira, ClickUp, or Monday - comfortable owning Gantt charts, sprint plans, and milestone trackers.
• Data & Analytics. Advanced Excel / Google Sheets (pivot tables, lookups, modeling). Working knowledge of SQL and a BI tool such as Looker, Tableau, Power BI, or Metabase.
• Dashboarding & Reporting. Experience designing partner-facing scoreboards and operational dashboards that translate metrics into clear narratives.
• Communication & Presentation. Strong PowerPoint / Google Slides craft for executive-grade decks, and crisp written communication for partner-facing emails and internal briefs.
• CRM & Workflow Systems. Familiarity with Salesforce, HubSpot, or equivalent CRM, plus collaboration tools like Slack, Notion, and Confluence.
• Process Documentation. Comfort authoring SOPs, RACI matrices, runbooks, and SLA frameworks from scratch.

What Success Looks Like

In your first 6 to 12 months, you will have established yourself as the trusted owner of our most strategic partnerships - with documented SOPs in place, partner scoreboards live and reviewed cadenced with the Founder, all SLAs consistently met, and partners actively expanding their commitments because of the experience you have engineered.

If you are excited by the idea of operating at the intersection of strategy and execution - and being directly accountable to the Founder for outcomes that shape our B2B future - we'd love to meet you.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

Who we are:

BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.

We are building a global team passionate about innovation and next-gen technology. Our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding.

Who we seek:

A highly motivated and detail-oriented R&D Operations Analyst to optimize the efficiency and productivity of our Research & Development department. You'll play a critical role in supporting R&D leadership by providing data-driven insights and managing key operational processes.

What you'll do: (Overview of the Role)

• Performance Tracking and Reporting: Develop and maintain dashboards and reports to track key R&D metrics, such as release velocity, bug resolution time, and resource utilization, presenting findings to R&D leadership.
• Process Optimization: Analyze existing R&D workflows (e.g., development lifecycle, QA process) to identify bottlenecks, propose improvements, and drive the implementation of more efficient operational processes.
• Budget and Resource Management Support: Assist the R&D leadership team in planning, tracking, and optimizing the R&D budget and resource allocation across various projects and teams.
• Subject Matter Expertise & Admin for R&D Systems: Serve as the subject matter expert (SME) and Administrator for Products and Engineering system tools (e.g., Jira, GitHub, Aha!), providing governance, optimization, and training to maximize team efficiency.
• Strategic Reporting & Board Preparation: Prepare detailed board materials and presentations summarizing R&D performance, progress against KPIs, and strategic initiatives for executive review.
• Ad-hoc Reporting and Analysis: Handle various ad-hoc reporting requests from R&D leadership, Finance, and other stakeholders, ensuring timely and accurate delivery of critical operational data.
• Tooling and Infrastructure Coordination: Act as a key liaison between R&D, IT, and Finance to ensure R&D teams have the necessary tools, licenses, and infrastructure to operate effectively.

What you'll bring: (Qualifications and Requirements)

Years of Experience: 3+ years of experience in an Operations Analyst, or Program Management role within a Software / Technology company.

Academic Education:

• Bachelor's degree in a quantitative or technical field such as Computer Science, Engineering, Business Administration, Economics, or a related field.

Important Skills or Attributes:

• Analytical & Data-Driven Mindset: Proven ability to collect, analyze, and interpret complex data sets (preferably using tools like SQL, Excel/Sheets and Looker) to derive actionable insights.
• Process Improvement Expertise: Strong understanding of software development lifecycle (SDLC) methodologies (Agile/Scrum/Kanban) and experience in implementing process improvements.
• Excellent Communication and Collaboration: Exceptional verbal and written communication skills with the ability to clearly articulate complex operational issues to technical and non-technical audiences.
• Project Management Fundamentals: Solid organizational skills, attention to detail, and experience managing multiple priorities in a fast-paced environment.
• Technical Tool Proficiency: Familiarity with R&D operational tools such as Jira/Confluence, GitHub/GitLab, and reporting/BI tools.

Advantages:

• Experience in a rapidly scaling SaaS Software startup environment.
• Familiarity with financial reporting, budgeting, and cost allocation specific to R&D departments.
• Relevant professional certifications (e.g., PMP, Lean Six Sigma, Scrum Master).
• Prior experience working in data security, privacy, or AI-related domains.