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

Go-to-Market Systems Lead, AI Native

Universal Ads, a part of Comcast, enables any brand, of any size, to seamlessly ...

Location

United States , New York

Salary:

96074.94 - 192149.88 USD / Year

Comcast Advertising

Expiration Date

Until further notice

Requirements

5–10 years in GTM Systems, GTM Engineering, Growth Engineering, RevOps Engineering, or similar roles
Proven experience building automation that drove measurable commercial impact
Comfort writing scripts, working with APIs, and deploying workflow tools
Strong product sense - you understand user flows and commercial incentives
Highly curious and solution-oriented
Scrappy, hands-on builder mentality
Able to lead directionally without managing a large team
Desire to build and steer a high-impact function at a growing business
Bachelor's Degree preferred
7-10 Years relevant work experience

Job Responsibility

Identify highest-impact automation opportunities across Growth, Sales, CS, and Product/GTM intersection
Audit GTM workflows and perform gap analysis
Pinpoint friction, manual work, and latency
Prioritize automation initiatives based on revenue or efficiency impact
Author clear architecture documentation
Build and deploy automation systems including AI-powered outbound workflows, lead enrichment and scoring systems, creative review and QA automation, fraud detection and risk scoring tools, CRM-triggered automations, agentic performance insight workflows, internal productivity tools
Inject AI effectively across the revenue org
Implement LLM-driven workflows
Create agents, automations and artifacts
Continuously evaluate emerging tools

What we offer

Paid Time off
Physical Wellbeing
Financial Wellbeing
Emotional Wellbeing
Life Events + Family Support
Bonus
Commission for sales positions

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

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

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

Lead Customer Success Manager – AI-Native / Equity / SaaS / Player-Coach

A Series A AI-native SaaS company — backed by the founders of Gainsight and Fres...

Location

Salary:

115000.00 - 150000.00 USD / Year

Sales Talent Inc

Expiration Date

Until further notice

Requirements

3–5+ years in customer success in B2B SaaS — with strategic mid-market and enterprise account ownership and real NRR/GRR responsibility
Revenue enablement, sales tech, or GTM tech experience strongly preferred
Player-coach experience or clear readiness
Startup experience — has built without a net
AI-native — AI has changed how you work
Sales or pre-sales background before CS a strong plus
Active CS community presence a plus

Job Responsibility

Own a portfolio of marquee and strategic accounts end-to-end
Coach one direct report and shape the CS playbook
Lead executive business reviews framed around customers’ board commitments
Be the internal voice of the customer across sales, product, and engineering
Help build the CS operating model, health score, and intervention protocols

What we offer

Equity
401k
Health, dental, and vision insurance
Flexible PTO
Travel expenses covered for customer onsites, conferences, and team events

Fulltime

New

Ai & Automation Specialist - Internship

We're looking for a driven and enthusiastic student to built to scale the produc...

Location

Spain , Barcelona

Salary:

1000.00 EUR / Month

Bsport

Expiration Date

Until further notice

Requirements

End-of-studies internship profile (Master's level preferred), looking for a final 6-month placement with an university agreement
Strong interest in AI tools and how they can transform operational workflows
ideally already hands-on with tools like ChatGPT, Claude, or similar
Solid understanding of CRM / CS tooling logic
Excellent organizational skills: you can manage multiple workstreams in parallel without dropping the ball
Strong written communication — you can document a process so cleanly that someone else can run it without asking questions
Analytical mindset: comfortable working with data, building simple reports, and drawing conclusions from numbers
Fluent in English
additional European languages are a plus

Job Responsibility

Deploy a portfolio of AI initiatives that increase the productivity of our Customer Success teams — across onboarding, account management, support, renewals, and health monitoring
Identify, test, and deploy AI tools across the CS workflow (onboarding, account reviews, support triage, churn-risk detection, renewal prep, CS reporting)
Integrate AI capabilities directly into the CS tooling and CRM via native features, connectors, or lightweight automations
Build and maintain prompt libraries, playbooks, and internal documentation to help CSMs and support agents leverage AI in their day-to-day
Measure adoption and impact: define KPIs for AI-enabled workflows and report progress to CS and StratOps leadership
Stay on top of new AI tools and evaluate them against bsport's needs and stack
Map the highest-effort, lowest-value tasks across the CS lifecycle and target them for automation or AI augmentation
Improve data quality and consistency across CS systems: account health signals, lifecycle stages, usage data, enrichment
Partner with CSMs and Support to streamline recurring workflows (QBR prep, health scoring, ticket deflection, knowledge base) and reduce manual overhead
Lead small-to-mid-sized cross-functional projects end-to-end: scoping, planning, stakeholder alignment, rollout, adoption tracking

What we offer

Vibrant office in Passeig de Gracia, Barcelona, with free drinks and snacks
Hybrid working model: 1 remote day per week
1000€ /monthly
A diverse, collaborative workplace - join an international team

New

Practice Lead

As the Practice Lead (PL) within the Center of Excellence (COE), you will serve ...

Location

Brazil , São Paulo

Salary:

Not provided

Palo Alto Networks Italia

Expiration Date

Until further notice

Requirements

10+ years of experience leading large-scale transformational initiatives within enterprise Professional Services, Management Consulting, or Customer Success organizations. A proven track record of modernizing global service delivery models is essential
5+ years of experience steering enterprise-wide orchestration, strategic operations, business transformation, or executive advisory functions within a high-growth cybersecurity, cloud provider (AWS/Azure/GCP), or enterprise SaaS company
Exceptional capability to influence, build consensus, and drive massive organizational change across disparate executive teams spanning Product, Engineering, Sales, and Services
Solid understanding of how machine learning and Generative AI (GenAI) intersect with security operations. Candidates should possess a practical grasp of AI-driven SecOps (e.g., Cortex XSIAM), automated triage/incident orchestration, and the unique security governance/risks associated with safeguarding enterprise LLM deployments
Proven success building, scaling, and optimizing delivery methodologies, operational governance models, maturity frameworks, and KPIs within complex, matrixed global organizations
Stellar verbal, written, and presentation skills, with a demonstrated ability to translate highly complex technical, architectural strategies into clear, actionable operational plans for both technical engineers and C-suite audiences
Deep technical literacy in modern cybersecurity architectures. Direct experience with Cortex (XDR/XSIAM/XPANSE), Cortex Cloud, and Prisma Cloud (or highly equivalent enterprise EDR/XDR, SIEM/SOAR, and CNAPP solutions) is strongly preferred

Job Responsibility

Drive Regional Excellence: Own the application, localized adoption, and quality governance of global COE methodologies, ensuring they are tailored effectively to regional market dynamics and compliance realities
Cross-Functional Orchestration: Establish seamless alignment between Professional Services (PS) and Customer Success / Scale & Optimize (S&O) organizations to define unified delivery frameworks, joint handoffs, and customer success metrics
Executive Escalation & Governance: Serve as the definitive regional authority and escalation point for complex methodology, scoping, and execution challenges, resolving high-stakes delivery roadblocks before they impact customer health
Unified Lifecycle Management: Enforce and champion a cohesive, end-to-end customer journey that bridges the gap between initial implementation and long-term account value optimization/expansion
Operational Boundary Design: Define, refine, and optimize operational ownership boundaries between PS and CS, eliminating friction, clarifying roles, and ensuring frictionless transitions for customers
AI-Driven Standardization at Scale: Eradicate bespoke, one-off delivery approaches by designing, introducing, and enforcing highly repeatable, asset-driven execution models that leverage machine learning insights and autonomous AI playbooks to maximize delivery margins
Strategic Commercial Partnership: Partner directly with regional Sales, Customer Success leadership, and GTM executives to ensure delivery readiness dynamically matches fast-paced deal motions and enterprise customer expectations
Deal Architecture & Risk Mitigation: Advise on strategic, marquee, and complex enterprise deals by providing expert guidance on technical feasibility, scoping precision, risk mitigation, and delivery architecture
Field-to-Product Feedback Loop: Systematically capture and synthesize theater-specific insights, product limitations, and regional constraints into structured, data-driven telemetry for Global COE and Product/Engineering teams to shape the future product roadmap
Proactive Risk Management: Maintain deep, data-driven visibility into regional capacity, market demand, and delivery risks

Fulltime

New

Director, Customer Success - SMB & MM

We're looking for a proven SaaS leader to join our stellar Customer Success team...

Location

Brazil

Salary:

756000.00 - 820000.00 BRL / Year

Fundraise Up

Expiration Date

Until further notice

Requirements

8+ years of experience in B2B or B2B2C SaaS Customer Success
4+ years of experience leading CS teams managing SMB or mid-market accounts within rapidly scaling SaaS companies
Fluent English with the ability to discuss complex business and technical topics with confidence
Demonstrated experience building or overseeing AI-driven or automated customer service workflows
Strong management skills with a track record of building disciplined, highly engaged remote teams
Experience hiring, onboarding, and developing LATAM-based teams
Proven ability to build and execute against playbooks, KPIs, and operational frameworks at scale
Demonstrated ability to communicate and influence C-level customer stakeholders
Experience with CRMs, data and integrations, digital marketing tools, Google Analytics, and email marketing platforms
We expect every team member to actively use AI in their day-to-day work, identify where AI can change the shape of problems in their function, and grow their fluency as the tools evolve. You should already be using AI meaningfully in your work and understand where it adds value and how it can improve the way you operate.

Job Responsibility

Lead Fundraise Up's LATAM-based SMB & Mid-Market Customer Success team, coaching and developing CSMs to manage high-volume books of business with strong retention and satisfaction outcomes
Design and oversee an AI-driven service motion for the SMB customer segment, building automated touchpoints, escalation paths, and human-in-the-loop processes that deliver consistent value at scale
Redeploy and develop CSMs against our mid-market customer base, establishing the account management rhythms, QBR cadences, and success plans needed to drive growth
Build and maintain the workflows, playbooks, and KPIs that enable the team to manage 100+ accounts each with a consistent, high standard of engagement
Drive process discipline across a fully remote, international team - ensuring precise communication, rapid resolution, and accountability to timelines
Oversee the full customer lifecycle from kickoff through implementation, launch, account planning, and ongoing expansion
Partner closely with the Director of Customer Success and cross-functional leaders across Sales, Marketing, Implementation, and Product to execute growth strategies and optimize the customer journey
Identify and mitigate churn risk proactively
maintain industry-leading retention across the SMB and mid-market cohorts
Develop and coach the team on growth motions - referrals, upsell, cross-sell, and expansion -- within an existing customer base

What we offer

Private health insurance and dental assistance
Life insurance
Meal voucher
30 calendar days of paid annual leave per year
English learning courses (50% reimbursement, up to $1,000 annually)
Gym or swimming pool (50% reimbursement, up to $500 annually)
Co-working space reimbursement (up to $250 monthly)
Fully remote working
Generous home office stipend to support your remote workspace
Annual professional development stipend to support your growth (e.g., workshops, courses, and seminars)

Fulltime

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AI Operations Lead, CS Product

Job Description

Job Responsibility

Requirements

What we offer

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