AI Operations Lead, CS Product Job at Bolt (Tallinn)

Lead Advanced Analytics, Digital & AI Products

The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of...

Location

India , Bangalore

Salary:

2940000.00 - 4170000.00 INR / Year

Airbnb

Expiration Date

Until further notice

Requirements

Min 8 or more years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Strong expertise in Python, SQL, A/B testing platforms and best practices
Expertise in EDA, hypothesis testing, significance testing, regression, clustering techniques, concepts of NLP/Text Mining, machine learning and deep learning techniques, language model fine-tuning etc
Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy)
Data engineering foundations, including ability to work with data engineering teams on pipeline design, metric computation jobs, data model changes, and maintaining reliable end-to-end metric systems
Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practices
Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement
Experience designing and building metrics, from conception to building prototypes with data pipelines

Job Responsibility

Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions
Drive day to day product analytics and build scalable analytical solutions
Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience
Owning the product analytics roadmap, prioritisation & delivery of solutions in the Contact Center Product space
Own projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines
Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness
Collaborate with engineering to define scalable logging and ensure observability across agentic and LLM workflows
Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimisations
Translate insights into strategic recommendations for senior leaders
shape product priorities through data

What we offer

bonus or incentives
one or more equity programs
benefits
Employee Travel Credits

Senior Support Operations Analyst

As a Senior Support Operations Analyst, you'll be the technical architect behind...

Location

United States

Salary:

111220.00 - 133422.00 USD / Year

Babylist

Expiration Date

Until further notice

Requirements

7+ years in Customer Support Operations, Business Intelligence/Analytics, or similar roles in high-growth, customer-facing environments
Strong analytical skills and operational instincts, with a track record of designing scalable processes that improve agent performance and user experience
Advanced SQL proficiency with experience writing complex queries, joins, and building data models for customer support analytics
3+ years hands-on experience with Zendesk (or Salesforce Service Cloud), including building automation, workflows, triggers, and API integrations
Proven track record implementing and optimizing AI chatbot platforms such as Sierra, Decagon, Forethought, Ada, or similar enterprise solutions
Expert-level proficiency building dashboards and reports in Sigma, Tableau, or PowerBI—able to work independently with minimal technical support
Experience integrating data across multiple systems and working with APIs
Experienced in building and maintaining reporting and performance analysis, including CSAT, cost per contact, and ROI-focused metrics
Proven ability to lead end-to-end change management for major tool rollouts and workflow changes, including stakeholder communication, training development, adoption tracking, and post-launch support
Familiar with AI support technologies and their practical integration into support systems (chatbots, knowledge base platforms)

Job Responsibility

Ensure high accuracy visibility into support performance through scalable tools (like dashboards) and internal reporting systems
Identify and work with our tech team to drive system improvements across the CS Tech stack (Zendesk, chatbots, phones platform)
Work cross-functionally with engineering, product, supply chain, and offshore support teams to identify root causes of user frustration and implement solutions
Partner with CS leadership to identify trends and key issues within our reporting frameworks and take active role in resolution
Support regular reporting cadences (weekly, monthly, quarterly), with summaries that guide cross-functional decisions
Surface actionable insights from data to support empathetic, user-centered decision-making and analyze trends across channels and issue types, supporting data-driven improvements to the support model
Drive adoption of AI-enabled workflows that reduce handle time and enhance support quality
Own and evolve self-service content, tools, and AI integrations such as Copilots and knowledge bases
Maintain ownership of CS-tools and vendor relationships, ensuring we operate on a modern, AI-enabled stack that supports scale, agent effectiveness, and automation—while optimizing for quality, usability, and value
Identify inefficiencies and recommend solutions that improve agent effectiveness and reduce user friction

What we offer

Competitive salary with equity and bonus opportunities
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning

Fulltime

Senior Product Marketing Manager

You own customer storytelling for Airtable with the strategic mindset of a produ...

Location

United States

Salary:

177000.00 - 277600.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

5+ years in product marketing, customer marketing, or technical content at B2B SaaS companies
Exceptional storytelling and writing for technical/business audiences
Daily AI tool user
Strong customer relationship skills and ability to extract stories through thoughtful questioning
Autonomous operator
Technical aptitude—learn platforms quickly and understand implementations

Job Responsibility

Identify and qualify high-impact AI use cases solving real business problems at scale
Conduct deep-dive customer interviews to understand workflows, challenges, and outcomes
Lead demo sessions where customers walk through their builds
Write focused stories that go deep on problem, AI-powered solution, and measurable outcomes
Produce demo videos
Use AI tools extensively to accelerate content creation
Build and manage our customer story database
Maintain searchable library tagged by use case, industry, AI features
Coordinate with Sales, CS, and PMM to identify which stories support campaigns
Own insights and iteration using engagement usage and pipeline data

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Head of Product

As Head of Product at Hapana, you’ll lead and grow the product team with a stron...

Location

Australia , Rosebery, New South Wales

Salary:

Not provided

Hapana

Expiration Date

Until further notice

Requirements

6+ years’ experience in product management
3+ years leading teams in a SaaS environment
Demonstrated experience hiring, coaching and developing Product Managers and building a strong team culture
Strong delivery management skills, prioritisation, planning, scope management and execution reporting
Proven ability to implement and improve product operating processes (Agile practices, documentation standards, governance)
Strong analytical problem-solving skills and comfort using metrics and customer feedback to guide decisions
Experience working closely with Engineering and cross-functional partners (Design, CS, Sales, Marketing)
Familiarity with product tools and workflows (e.g., Jira, Confluence) and pragmatic use of Agile methodologies
Excellent communication skills able to align stakeholders, run effective forums and clarify decisions
Bachelor’s degree in Business, Engineering, Design, or related field is a plus (MBA/advanced degree a plus)

Job Responsibility

Lead, coach and develop the product team through clear expectations, regular 1:1s, feedback and performance conversations
Build a high-performing team by hiring well, onboarding effectively and creating growth paths for Product Managers, Enablement and UI/UX Designer capability as needed
Create a culture of accountability, ownership and continuous improvement where priorities are clear and commitments are met
Establish standards for product craft (discovery practices, PRDs, acceptance criteria, release readiness, stakeholder comms) to lift consistency across the team
Own the product function’s delivery rhythm: intake, prioritisation, planning, execution tracking and retrospectives
Turn company goals into a manageable roadmap with clear scope, sequencing, dependencies and trade-offs
Partner with Engineering to ensure requirements are actionable, scope is controlled, risks are surfaced early and delivery remains on track
Ensure launches are operationally ready: clear ownership, enablement plans, internal comms, training materials, and coordinated release execution
Leverage modern AI tools to accelerate product discovery and delivery, synthesising customer and market insights, improving documentation, communication, supporting data-informed prioritisation and decision-making
Build and continuously improve scalable product management processes and frameworks (Agile ways of working, documentation, decision logs, prioritisation, and quality gates)

What we offer

Competitive salary, benefits, wellness perks including fitness initiatives and work-life balance policies

Fulltime

Revenue Operations Lead

Revenue Operations Lead to scale Prolific’s AI revenue engine across Sales, Cust...

Location

United States , New York

Salary:

120000.00 - 150000.00 USD / Year

Prolific

Expiration Date

Until further notice

Requirements

Proven experience in Revenue Operations, Sales Operations, or Commercial Operations in a high-growth technology company
Strong, hands-on experience owning and scaling with HubSpot
Deep practical understanding of sales motions, renewals, expansions, and forecasting
Comfort partnering with BI and working with complex revenue datasets
Ability to map messy real-world processes and turn them into clean, scalable systems
A rigorous, outcomes-driven mindset with high standards for data quality and clarity

Job Responsibility

Own and continuously optimize Prolific’s revenue systems, with HubSpot at the core
Ensure clean, scalable workflows across sales, renewals, expansions, and services delivery
Partner with Marketing Ops, RevOps for Research, BI and Support Ops on system boundaries, integrations, and data contracts (not duplicate ownership)
Identify gaps, document requirements, and lead implementation of scalable RevOps solutions
Build and maintain revenue reporting and dashboards across pipeline, bookings, delivery, retention, and expansion
Own forecasting rigor for the AI business: deal hygiene, stage definitions, pipeline reporting, confidence modelling, and variance analysis
Partner closely with BI to improve data models, definitions, and executive-level reporting for MBRs and other forums
Improve data quality and visibility across long, multi-stakeholder AI deal cycles
Design, document, and optimize end-to-end revenue processes (opportunity - contract - delivery - renewal/expansion)
Identify bottlenecks across Sales, CS, and Managed Services and drive pragmatic fixes

What we offer

competitive salary
benefits
remote working
equity
opportunity to earn a cash variable element, such as a bonus or commission

Fulltime

GTM AI Operations Manager

Sokin is a next-generation B2B financial services provider, enabling businesses ...

Location

United Kingdom , London

Salary:

Not provided

Sokin

Expiration Date

Until further notice

Requirements

3-5 years of experience in any of these areas, GTM Operations, Sales Ops, Marketing Ops, CS Ops, or Program Management in a B2B SaaS or technology environment
Proven experience leading cross-functional operational initiatives from intake and prioritisation through delivery, adoption, and measurement
Strong understanding of the end-to-end GTM customer lifecycle and associated metrics
Working knowledge of generative AI concepts, risks, and best practices sufficient to manage requirements, governance, and stakeholder expectations
Strong analytical skills with experience defining KPIs, building dashboards, and tying initiatives to business outcomes
Excellent communication and stakeholder management skills, with the ability to translate between business and technical teams

Job Responsibility

GTM AI discovery and problem framing
Establish and run a structured intake process for AI use cases across Marketing, Sales, and Customer Success
Drive cross-functional alignment on what is being built, why, and when
facilitate quarterly planning and ongoing stakeholder updates
Proactively identify opportunities where AI can meaningfully improve GTM performance across lead nurturing, prospecting, outreach, account management, renewals, and expansion
Lead structured discovery with Marketing, Sales, and Customer Success teams to understand pain points, workflows, and opportunities for AI leverage
Execution ownership of AI workflow initiatives
Coordinate delivery from discovery and validation through launch, iteration, and ongoing support
Translate strategy and priorities into concrete requirements, workflows, and implementation plans
Partner with technical teams and tools to implement AI workflows directly or coordinate their delivery, including automation logic, triggers, and integrations

Lead Advanced Analytics, Digital & AI Products

The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of...

Location

India , Bangalore

Salary:

2940000.00 - 4170000.00 INR / Year

Airbnb

Expiration Date

Until further notice

Requirements

Min 8 or more years in industry experience
A degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment
Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Strong expertise in Python, SQL, A/B testing platforms and best practices
Expertise in EDA, hypothesis testing, significance testing, regression, clustering techniques, concepts of NLP/Text Mining, machine learning and deep learning techniques, language model fine-tuning etc
Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy)
Data engineering foundations, including ability to work with data engineering teams on pipeline design, metric computation jobs, data model changes, and maintaining reliable end-to-end metric systems
Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practices
Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement

Job Responsibility

Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions
Drive day to day product analytics and build scalable analytical solutions
Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience
Owning the product analytics roadmap, prioritisation & delivery of solutions in the Contact Center Product space
Own projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines
Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness
Collaborate with engineering to define scalable logging and ensure observability across agentic and LLM workflows
Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimisations
Translate insights into strategic recommendations for senior leaders
shape product priorities through data

What we offer

Bonus or incentives
One or more equity programs
Employee Travel Credits

Ai Scaled Programs Lead - Customer Success

Lovable is growing fast and needs a builder to create the systems, automation, a...

Location

United States , Boston; San Francisco

Salary:

Not provided

Lovable

Expiration Date

Until further notice

Requirements

4+ years in Customer Success Ops, Digital/Scaled CS, Lifecycle, or Growth (B2B SaaS)
you've built 1:many CS programs before and have the scars to prove it
Systems builder with sharp analytical instincts
you can define what healthy looks like, instrument it, build feedback loops, and iterate fast
Strong writer and communicator
your customer-facing copy is clear, crisp, and calm under pressure, especially for incident or breaking-change moments
Cross-functional operator
you can move Product, CS, Marketing, and Support in the same direction without needing heavy process or a mandate
Comfortable with ambiguity and fast iteration
you ship a v1, learn, and improve

Job Responsibility

Own the lifecycle automation engine end-to-end
design and run onboarding sequences, activation nudges, adoption milestone campaigns, renewal runway outreach, and expansion triggers across the full customer base
Build and operate health scoring + response playbooks
Stand up renewal risk early warning
build a 90–120 day early-warning system with automated save plays that escalate to a CSM only when warranted
Run a recurring 1:many enablement calendar
manage product update webinars, themed office hours, and roadmap previews in close partnership with CS, Product, and Marketing
Build the Voice of Customer pipeline
centralize NPS/CSAT, support signals, product data, and CS notes into a clear insights feed, and create a repeatable mechanism to route findings to leadership and close the loop with customers
Own customer communications at scale

Fulltime

Select Country

AI Operations Lead, CS Product

Bolt

Location:
Estonia , Tallinn

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
May 04, 2026

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