Ops Performance Manager - Data & Ai Focus Job at condor

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Manager, Strategic Projects

As Manager, Strategic Projects, you will lead an SPL team that sits at the cente...

Location

United States , San Francisco

Salary:

160000.00 - 210000.00 USD / Year

Handshake

Expiration Date

Until further notice

Requirements

5+ years in operationally intensive roles such as marketplace operations, data operations, strategy and operations
2+ years managing high performing teams in fast paced, execution focused environments
Prior experience in investment banking, private equity or management consulting strongly preferred
Experience leading complex, multi stakeholder projects from definition through delivery, ideally with AI, data, or technical workflows
Background in AI data operations, ML ops, or technical services is a strong plus

Job Responsibility

Leading and managing a team of SPLs across multiple complex AI data and evaluation projects, ensuring clarity of ownership, priorities, and execution
Driving on time, high quality delivery across custom data pipelines and expert labeling workflows, with a sharp focus on throughput, quality, and cost
Translating researcher and customer needs into clear project plans, scopes, and operational workflows that SPLs and Fellows can execute
Owning performance metrics across your portfolio, including quality, throughput, SLAs, utilization, and margin, and using data to drive continuous improvement
Ensuring a top tier experience for Handshake Fellows, enabling them to produce high quality, scalable data while feeling supported and informed
Partnering with Product and Engineering to evolve internal tooling, workflows, and systems that unlock step function gains in efficiency and quality

What we offer

Equity
Bonus
401(k) match
Financial coaching
Paid parental leave
Fertility benefits
Parental coaching
Medical, dental, and vision
Mental health support
$500 wellness stipend

Fulltime

Lifecycle Marketing Manager

The Lifecycle Marketing Manager will own end-to-end lifecycle programs that driv...

Location

United States

Salary:

128000.00 - 160000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

3–5+ years in Lifecycle Marketing, CRM, Growth Marketing, or related roles, ideally in B2B SaaS or a similar subscription model
Hands‑on experience designing and executing campaigns across at least two of the following stages: adoption, expansion, retention, renewal (install‑base experience strongly preferred)
Proficiency with lifecycle / marketing automation tools such as Customer.io, Braze, Iterable, Marketo, HubSpot, or similar (including building segments, triggers, and multi‑step flows)
Strong data literacy, comfortable pulling and interpreting performance reports, building segments from behavioral and firmographic data, and translating numbers into action
Proven track record of running experiments (A/B tests, multivariate tests) and iterating based on results
Demonstrated ability to collaborate with Sales and Customer Success teams and incorporate their feedback into lifecycle programs
Clear, concise written communication skills, especially for email and in‑product messaging
Ownership & Accountability: Owns well‑scoped projects from brief through launch and iteration, keeps stakeholders informed, and takes responsibility for outcomes
Problem Solving: Comfort with ambiguous, open‑ended lifecycle problems
can break them into actionable steps and identify the right solution with limited guidance

Job Responsibility

Expansion & Retention Campaign Execution Own the end‑to‑end execution of lifecycle journeys for install‑base customers across channels (email, in‑app, etc.) focused on adoption, expansion, and renewal
Signal-Based Targeting & Segmentation Use customer, product usage, and billing data to define segments such as high‑growth accounts, underutilized seats, low‑usage customers, and expansion‑ready accounts, and tailor campaigns accordingly
Onboarding & Early Adoption Support (with Expansion Lens) Support optimization of early‑lifecycle journeys (first 30/60/90 days) to ensure new customers adopt the features and behaviors that unlock long‑term retention and expansion
Experimentation & Optimization Run A/B and multivariate tests on messaging, timing, triggers, and segmentation. Analyze performance and share clear recommendations to improve seat & credit utilization, expansion opportunities, and retention
Measurement & Reporting Define and track KPIs for your programs (seat utilization, credit utilization, expansion pipeline influenced, churn indicators). Partner with RevOps and Marketing Ops to create dashboards and recurring reports for your area of ownership
Cross-Functional Collaboration Work closely with Sales, Customer Success, Product, Product Marketing, Growth, and Marketing Ops to ensure install‑base campaigns are aligned with GTM plays, product launches, and CS motions
AI-First Lifecycle Operations Use AI tools to brainstorm campaign ideas, generate copy & variants, assist with QA, and summarize results, increasing both speed and quality of execution
Lifecycle Infrastructure & Hygiene Maintain clean, well‑documented workflows and campaign logic. Partner with Marketing Ops on list health, deliverability, and segmentation hygiene for lifecycle programs. Create and update playbooks for the campaigns and components you own
Ownership & Continuous Improvement Independently identify gaps and opportunities in the expansion lifecycle, propose solutions, and execute well‑scoped projects that ladder up to quarterly team goals

What we offer

equity
company bonus or sales commissions/bonuses
401(k) plan
at least 10 paid holidays per year, flex PTO, and parental leave
employee assistance program and wellbeing benefits
global travel coverage
life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Principle Data Platform Engineer

Imagine being at the forefront of a revolution powered by Data and AI (Artificia...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
6+ years of software development lifecycle experience, including 2+ years in a lead role managing big data platforms
2+ years of Infrastructure-as-Code (Terraform, Bicep, ARM)
2+ years of CI/CD pipelines and DevOps automationIdentity & access management (RBAC, PIM, conditional access)
2+ years of Governance frameworks (data classification, policy enforcement, compliance controls)
Observability (OpenTelemetry, monitoring, logging, SLOs)
Incident management and reliability engineering practices

Job Responsibility

Develop and implement a federated infrastructure strategy for marketing data focused on cost optimization and scalability
Develop monitoring systems and processes for Data Platform infrastructure, pipelines, usage, and access patterns
Build capabilities for data discovery, access management, policy enforcement, and lineage tracking, aligned with the DE data platform vision
Create and deploy frameworks and tools for data quality measurement and monitoring to deliver secure, sustainable, high-performing, and reliable marketing data for consumer needs
Design and roll out data storage framework and solution in line with medallion architecture and automated role-based access controls across all access layers
Establish engineering excellence through best practices, coding standards, and robust code management tooling
Collaborate with Data Product Engineering, Data Ops, and Partner Engineering teams to deliver end-to-end platform solutions
Partner with Fabric, Purview, Azure ML teams to influence product roadmaps and address feature gaps
Implement shared tools for cross-tenant Azure data intake and publishing
Deploy capabilities for data classification, tagging, retention, archival, and deletion to meet privacy policy requirements

Fulltime

Revenue Operations Manager

This is one of the most critical roles driving the scalability and financial per...

Location

Sweden , Stockholm

Salary:

Not provided

Mentimeter

Expiration Date

Until further notice

Requirements

3+ years of experience in Operations (Revenue, Sales or Marketing Ops), SaaS Sales or Consultancy
Highly driven, proactive, and action-oriented with a strong bias toward execution
Curious interest in leveraging AI and automation to drive smarter decisions and improve operational effectiveness
Excellent communicator with the ability to align and collaborate effectively with senior leadership and cross-functional teams
Ability to work cross-functionally and align operational initiatives with business goals
Attention to detail and a structured, problem-solving mindset
Familiarity with SaaS sales processes and CRM data models

Job Responsibility

Revenue Process Design and Implementation: Responsible for process design and driving scalability within our Enterprise Bow Tie funnel
Partnering with Revenue leaders to align Sales Ops initiatives with Mentimeter’s G2M strategy
Leading and contributing to cross-functional projects focused on revenue enablement and operational excellence
Implement process changes through tooling and data infrastructure, automating workflows where possible to ensure scalability
Drive cross-functional alignment and change management to ensure consistent process adoption and scalability
Tech Stack & System Enablement: Ownership of tools and systems that are the closest to your specialisation
Workflows and automation: Identify and implement workflow improvements that increase productivity and visibility throughout the funnel
Ensure data activation within the system
Ensure CRM data integrity: Responsible for legal compliance for the data in the tools and maintaining data hygiene
Having commercial ownership for driving renewal process and negotiations and optimise costs and tool ROI

What we offer

Diverse and inclusive work environment
Continuous professional development
Access to a leadership program (including external personal coach)
Relevant education
Competitive compensation and benefits package, including pension contributions

New

Head of AI Transformation & Operational Excellence

Lead Valtech’s end-to-end AI transformation and operational excellence for a maj...

Location

France , Paris

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Proven track record in leading complex, data-driven or AI-enabled transformation programs
Demonstrated ability to move initiatives from POC to industrialized, production-grade solutions
Experience leading distributed delivery teams (onshore/offshore)
Strong understanding of e-commerce, retail, or omnichannel ecosystems
Ability to operate at both strategic and operational levels
Fully bilingual French / English is mandatory
Strong transformation leader with a clear, forward-looking vision
Clear, direct, and structured communicator
able to simplify complexity
Pragmatic, execution-focused, and value-driven

Job Responsibility

Lead Valtech’s end-to-end AI transformation and operational excellence for the client account
Own the definition, orchestration, and execution of AI initiatives, ensuring they move from POC to industrialized, production-grade capabilities delivering tangible value
Ensure AI-driven transformation is consistently embedded across the four core pillars of delivery: Agile Operating Model, Engineering, Quality & Testing, Production & Support
Drive innovation and continuous improvement of delivery and support operations, leveraging AI, automation, process optimization, and new operating practices
Define and own the global AI transformation roadmap across eRetail and omnichannel delivery
Ensure AI initiatives are aligned with the client’s business priorities and Valtech’s delivery and operational objectives
Drive AI adoption beyond experimentation, with clear industrialization paths, ownership models, and value tracking
Position AI as a structural enabler of delivery performance, quality, and operational efficiency
Work in close partnership with the AI Transformation Program Manager
Act as Valtech’s AI and operational excellence reference toward the client

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Fulltime

New

Website Growth Manager

MaintainX is the world's leading Asset and Work Intelligence platform for indust...

Location

United States

Salary:

Not provided

MaintainX

Expiration Date

Until further notice

Requirements

4+ years in web or growth marketing, ideally in B2B SaaS
Proven track record running A/B tests and driving measurable conversion improvements
Strong ability to apply AI for personalization, content optimization, and data analysis
Hands-on experience with AI tools (e.g., Clay, ChatGPT, Claude, or similar)
Proficiency with Webflow and Optimizely (or similar tools)
Experience in web analytics platforms (GA4, Mixpanel, Amplitude) and attribution modeling
Knowledge of tracking and measuring AI search/chat traffic (referrals, click-throughs, attribution)
Understanding of technical web performance (Core Web Vitals, page speed, SEO best practices)
Experience collaborating with SEO teams to drive product-led SEO and optimize for AI-driven search
Familiarity with AI-first search standards like LLMs.txt and schema markup

Job Responsibility

Optimize the website for conversion by running A/B tests and implementing personalization, leveraging AI tools (e.g., Clay, ChatGPT, Claude) to accelerate insights and deliver tailored messaging
Partner with the SEO team to optimize website content for SEO, focusing on AI-driven search and product-led SEO, where applicable
Partner with design, product marketing, and demand generation on landing pages, site redesigns, and information architecture improvements to drive usability and conversions to leads and trials
Lead and prioritize the web development queue, balancing growth experiments, campaign support, and search optimization
Own website analytics and attribution: build dashboards, track conversions, and partner with Marketing Ops and engineering on reporting and funnel visibility
Integrate qualitative research (usability tests, heatmaps, surveys) with qualitative data, using AI-driven analysis to refine conversion paths
Ensure site quality, scalability, and performance through audits, monitoring, and AI-based anomaly detection
Recommend and manage tools for analytics, testing, personalization, and AI-enhanced web marketing
Update and publish new content/web pages on Webflow

What we offer

Competitive salary and meaningful equity opportunities
Healthcare, dental, and vision coverage
401(k) / RRSP enrolment program
Take what you need PTO
A Work Culture where: You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist
We believe in meritocracy, where ideas and effort are publicly celebrated

Fulltime

New

ML Ops Engineer

The MLOps Engineer will work closely with the Data Science, Analytics, and Data ...

Location

United States

Salary:

127000.00 - 160550.00 USD / Year

Zelis

Expiration Date

Until further notice

Requirements

2–5 years of experience in ML Ops, ML Engineering, or a related role with a focus on production-level model monitoring, automation, and deployment
Strong experience with ML observability tools or custom-built monitoring systems
Experience with monitoring LLMs and Generative AI models, including prompt evaluation, hallucination tracking, and agent behavior auditing
Experience in deploying and managing ML workloads using containerization and orchestration platforms such as Docker, Kubernetes, Kubeflow, or TensorFlow Extended
Familiarity with AutoML pipelines and workflow management tools (e.g., MLflow, SageMaker Autopilot)
Experience working in cloud environments, preferably AWS (e.g., SageMaker, S3, Lambda, ECS/EKS)
Understanding of ML lifecycle tools (e.g., MLflow, SageMaker Pipelines) and CI/CD practices
Strong security and compliance awareness, particularly related to model/data governance (e.g., HIPAA, GDPR)
Proficiency in Python and key data libraries (Pandas, Numpy, Matplotlib, etc.)
Advanced SQL skills and experience with Snowflake or similar data warehousing platforms

Job Responsibility

Build and maintain monitoring infrastructure for conventional machine learning models, with capabilities for performance tracking, drift detection, and alerting
Research, evaluate, and implement monitoring strategies and tools for Generative AI systems, including LLMs and Agentic AI architectures
Collaborate with ML Engineers, Data Scientists, and DevOps teams to deploy, manage, and monitor models in production
Develop and support scalable, secure, and automated data pipelines using Snowflake, SQL, and Python for training, serving, and monitoring ML and GenAI models
Leverage AutoML tools and frameworks (e.g., MLflow, Kubeflow, SageMaker Autopilot) to streamline experimentation and deployment
Design dashboards and reporting systems to visualize model health metrics and surface key operational insights
Ensure auditability, reproducibility, and compliance for model performance and data flow in production environments, with consideration for regulatory standards like GDPR and HIPAA
Maintain CI/CD workflows and version-controlled codebases (e.g., Git) for ML infrastructure and pipelines
Utilize containerization and orchestration technologies (e.g., Docker) to manage scalable ML infrastructure
Leverage tools such as Streamlit and Python visualization libraries to present insights from model and data monitoring

What we offer

401k plan with employer match
flexible paid time off
holidays
parental leaves
life and disability insurance
health benefits including medical, dental, vision, and prescription drug coverage

Fulltime

Strategic Projects Lead, GTM

We’re hiring a high-agency operator to join the Office of the President of GTM a...

Location

United States , San Francisco

Salary:

162000.00 - 193000.00 USD / Year

Intercom

Expiration Date

Until further notice

Requirements

You’re a versatile problem solver, comfortable jumping into unfamiliar spaces, learning fast, and driving clarity and momentum. You can handle multiple priorities at once.
You’re a force multiplier able to step into complex, high-impact initiatives and provide leverage to senior leaders by driving them forward with focus and autonomy.
You bring a structured approach to messy problems, and can navigate ambiguity while keeping stakeholders aligned.
You’re a strong communicator and collaborator, able to influence without authority and build trust across functions and levels.
You use data as a tool to drive clarity, challenge assumptions, and shape smarter decisions.
You’re excited about the exposure, complexity, and challenge this role provides and motivated by driving tangible outcomes for the business.
You have curiosity and enthusiasm for using AI tools to drive efficiency and scale work.
You’re low-ego, action-oriented, and thrive in fast-paced, high-autonomy environments.
8+ years of combined experience as a strategic generalist (management consulting, business operations, GTM strategy). Prior experience operating in a high-growth tech environment strongly preferred.
Experience working directly with senior executives and cross-functional teams

Job Responsibility

Drive strategic initiatives: Own and execute high-priority GTM initiatives, partnering with functional leaders to support priority projects and accelerate progress where needed.
Serve as a trusted thought partner to GTM executives: Help senior leaders navigate complex issues, structure their thinking, and drive toward clear, high-impact decisions.
Fix and modernize broken processes: Identify outdated or inefficient ways of working across GTM. Propose smarter approaches, pilot improvements (especially with AI) and support scale-up.
Run operational inspections: Dive into performance trends, pipeline data, Gong calls, and customer journeys to uncover gaps, patterns, and insights that drive better decisions and execution.
Craft executive-ready communications: Help GTM leaders distill and package their strategies into internal narratives and external presentations, including org-wide updates, strategic initiative briefs, board content and leadership presentations.
Enable cross-functional coordination: Facilitate alignment and collaboration across Sales, Marketing, CS, Support, Ops, and Growth, especially in ambiguous or fast-moving areas.

What we offer

Competitive salary and meaningful equity
Comprehensive medical, dental, and vision coverage
Regular compensation reviews - great work is rewarded!
Flexible paid time off policy
Paid Parental Leave Program
401k plan & match
In-office bicycle storage
Fun events for Intercomrades, friends, and family

Fulltime

Ops Performance Manager - Data & Ai Focus

condor

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 07, 2025

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