Senior Product Manager

Ship measurable wins for retailers by combining data analysis, rapid AI-assisted...

Location

United States

Salary:

130000.00 - 175000.00 USD / Year

Bluecore

Expiration Date

Until further notice

Requirements

3+ years in product management or an adjacent technical, customer-facing role (solutions/implementation/sales engineering, technical account management, MarTech/marketing ops, developer relations) in SaaS/MarTech/ecommerce or AI/agentic domains and applications
Experience shipping workflow automation or AI-assisted features is valuable
experience shipping segmentation and activation capabilities (CDP, ESP, marketing automation, paid media/data activation) is strongly preferred
Experience with segmentation and activation (CDP, ESP, marketing automation, paid media activation, or data activation)
Hands-on data ability: SQL (BigQuery preferred) and Python scripting (pandas/NumPy) proficiency, designing and interpreting basic cohort analyses and A/B tests, and spotting instrumentation gaps
Builder bias: demonstrable prototypes you personally assembled (LLM-assisted is fine) using low-code workflow automation tools, AI-powered app builders, a basic web stack, or notebooks
Retail empathy: experience building for retailers or partnering with retail clients
clear articulation of shopper and retailer pain points
Senior presence: confident with executive and client-facing conversations, crisp narrative, clean demos

Job Responsibility

Ship agentic experiences for marketers. Define the tasks automations/agents can perform (for example: segment creation and validation, activation setup and QA, sync health checks, pause/resume safeguards), the tools they can use (MCPs, APIs, webhooks, file exports), and the approval flows. Measure impact on time to value and workflow efficiency
align with Engineering on safe execution and monitoring
Make decisions with data. Pull your own numbers, not anecdotes. Leverage existing analytic tools or directly query the warehouse datasets, build quick analyses, and turn findings into product bets and success metrics
Prototype before you spec. Use LLMs and tools (e.g., Cursor, n8n/Make, Replit, simple Python/JS, lightweight HTML) to stand up functional prototypes including audience builders and external activation setup flows that stakeholders and clients can click, not just read, and to better inform opportunity and scope
Ship the platform pieces. Define objectives, use cases, and user requirements, and partner with Engineering on technical requirements to deliver iterative solutions on time
Build and evolve activation foundations for third-party destinations (exports, paid media integrations). Define the patterns that make new channels and destinations easy to add over time (schemas/contracts, integration standards, observability, failure handling, and self-serve controls)
Instrument everything. Define KPIs, logging, and experiment design. Prove value with deltas, not vibes. Iterate and retire solutions based on measurable results
Work the retail problem. Interview key internal stakeholders (Customer Success, Support, Sales, etc.) and customers, and review (or join, as necessary) client-facing meetings to empathize and translate retail pain points into precise jobs, constraints, and success criteria
Lead in the room. Run client demos, handle objections, and translate technical detail into clear business outcomes for executives
Operationalize AI safely. Specify evaluation, guardrails, and human-in-the-loop points for any AI-driven feature

Fulltime

Senior Product Manager

Senior Product Manager for Explainability Tools, you’ll own the product strategy...

Location

United States , San Francisco Bay Area

Salary:

200000.00 - 2400000.00 USD / Year

Orbis Consultants

Expiration Date

Until further notice

Requirements

Strong working knowledge of modern LLMs and ML systems: how they’re trained, fine-tuned, evaluated, and deployed
Familiarity with techniques to modify LLM behavior (prompt engineering, system prompts, fine-tuning, RAG, guardrails, evaluators, safety filters, etc.)
Experience designing or working with LLM-based solution architectures (pipelines, agents, evaluators, monitoring)
Ability to read and discuss code, especially in Python (bonus: you’ve written scripts, notebooks, or small services yourself)
Comfort collaborating with engineers on APIs, SDKs, schemas, and data models for developer-facing products
Experience building products for technical users (ML engineers, data scientists, platform teams, infra/dev-tools users, etc.)
6+ years in Product Management, with at least 2–3 years on AI/ML, data, infra, or developer tools products
Demonstrated ability to own a product area end-to-end: vision, roadmap, requirements, execution, launch, and iteration
Strong discovery skills: interviewing technical users, synthesizing insights, and turning them into clear problem statements and PRDs
Experience defining metrics and evaluation frameworks (e.g., quality metrics, reliability, adoption, and engagement) and using them to drive decision-making

Job Responsibility

Own the product strategy & roadmap for explainability tools, ensuring the platform evolves with the needs of AI/ML developers building LLM-powered applications
Leverage your understanding of language models and ML systems to guide product decisions and the integration of proprietary explainability technologies, tooling, and processes
Engage deeply with the AI/ML developer community (customers, prospects, and partners) to uncover pain points, gather feedback, and shape solutions that meaningfully improve their development and debugging workflows
Lead cross-functional teams including AI/ML experts, engineers, and designers to deliver robust, scalable, and intuitive tools, SDKs, and APIs for LLM evaluation and explainability
Drive and participate in technical discussions with AI/ML practitioners, using your technical fluency to challenge assumptions, refine designs, and push product innovation
Prioritize features and enhancements using customer feedback, market and competitive research, and emerging technical capabilities in LLMs and evaluation
Collaborate with Marketing and Sales on go-to-market strategies, launch plans, and positioning to ensure strong adoption, clear messaging, and commercial impact

What we offer

equity (RSUs)
bonus

Fulltime

Quantitative Analytics Associate Graduate Programme

Graduate Programme delivering immersive experiences, transformative development ...

Location

Singapore , Singapore

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Pursuing a Masters or a PhD in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Statistics, Calculus, Computer Science or other STEM subjects with a graduation date between December 2025 and June 2026
Mathematical and programming skills (ideally in Java, C++, or Python)
Knack for logical thinking and creative problem solving
Good communicator and team player
Motivated and curious

Job Responsibility

Application of the latest quantitative techniques to solve business problems
Research, development, and implementation of new models and solutions
Improve the bank’s computing and data infrastructure
Collaboration with cross-functional teams and senior management to progress business initiatives
Participation in training and development programs
Conduct research to support strategic decision making
Prepare presentations and reports to communicate research findings
Collaborate with senior management to implement research findings
Design, development of the quantitative research framework using domain specific languages
Participation in technical design and development of the global team’s quantitative research systems, research notebooks and products

What we offer

Paid holiday and vacation
Competitive pay
Private medical care
Disability assurance
Flexible working
Life assurance
Voluntary benefits
Retirement planning

Fulltime

New

Quantitative Analytics Associate Discovery Programme

The Discovery Programme is designed for students to experience what it means to ...

Location

Singapore , Singapore

Salary:

Not provided

Barclays

Expiration Date

March 02, 2026

Requirements

Graduating between December 2027 and June 2028
GPA of 3.2 or above
Pursuing a Masters or a PhD in a technical discipline such as Physics, Mathematics, Operations Research, Quantitative Finance, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects
Strong programming skills (particularly in Java, C++, or Python)
Knack for logical thinking and creative problem solving
Great at communicating and collaborating
Curious to understand how a global bank adapts in a constantly evolving environment

Job Responsibility

Application of the latest quantitative techniques to solve business problems, research, development, and implementation of new models and solutions and improve the bank’s computing and data infrastructure
Collaboration with cross-functional teams and senior management to progress business initiatives
Participation in training and development programs to enhance skills and knowledge
Conduct research to support strategic decision making, prepare presentations and reports to communicate research findings, and collaborate with senior management to implement research findings
Design, development of the quantitative research framework using domain specific languages
Participation in technical design and development of the global team’s quantitative research systems, research notebooks and products

What we offer

Paid holiday and vacation
Competitive pay
Private medical care
Disability assurance
Flexible working
Life assurance
Voluntary benefits
Retirement planning

Quantitative Finance Associate Off Cycle Internship

Off-Cycle Internship for 3-6 months working within one of our Quant focused busi...

Location

France , Paris

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Postgraduate qualification (Master’s degree or higher) in a technical discipline such as Physics, Mathematics, Operations Research, Economics, Statistics, Stochastic Calculus, Computer Science, or other STEM subjects
Strong programming skills, particularly Python, C++, or Java
Great at communicating and collaborating
Driven to identify the best solution to a problem and then motivated to deliver that solution at pace
Ready to develop a deep understanding of what we do, why we do it, and how your role impacts our business outcomes
Fluent in English and French

Job Responsibility

Support the day-to-day operations of the Quantitative Analytics (QA) group by providing analytical insights and expertise
Application of the latest quantitative techniques to solve business problems, research, development, and implementation of new models and solutions and improve the bank’s computing and data infrastructure
Collaboration with cross-functional teams and senior management to progress business initiatives
Participation in training and development programmes to enhance skills and knowledge
Conduct research to support strategic decision making, prepare presentations and reports to communicate research findings, and collaborate with senior management to implement research findings
Design, development of the quantitative research framework using domain specific languages
Participation in technical design and development of the global team’s quantitative research systems, research notebooks and products
Training and mentoring of junior colleagues
Participation in quantitative research, technical design and development of our global team’s quantitative research systems and algorithmic trading stack

What we offer

Paid holiday and vacation
Competitive pay
Private medical care
Disability assurance
Flexible working
Life assurance
Voluntary benefits
Retirement planning

Fulltime

Senior Principal Scientist, Neurodegeneration

We are seeking a highly motivated and talented scientific laboratory leader with...

Location

United States , Upper Providence, Collegeville

Salary:

Not provided

GSK

Expiration Date

Until further notice

Requirements

PhD in Biochemistry, preferably in Alzheimer’s disease with 5+ years drug discovery experience in industry
Three or more years of experience in leading biology studies in early-stage drug discovery projects
Three or more years of experience in protein isolation from iPS derived cells, human brain/biofluid samples, and characterization using biochemical and mass spectrometric methods
8+ years’ experience working with iPSC derived CNS cells and standard laboratory techniques such as cell biology, molecular biology and biochemistry
5+ years’ experience in developing assays to investigate target mechanisms/ biology preferably in Alzheimer’s disease using iPSC derived cells in 2D- configuration
3+ years’ experience in using AI/ML tools to develop biological/mechanistic hypothesis using omic datasets

Job Responsibility

Lead biology studies both from/off-bench to support discovery projects by developing target – disease biology hypothesis, establishing and performing in vitro iPSC derived CNS cells/ ex vivo cellular assays primarily using biochemistry expertise combined with molecular and cell biology
Develop novel assays with high translational value to interrogate target or disease biology
Develop testable target and biomarker hypothesis based on Omics data
Optimize and perform in vitro assays to support lead optimization of molecules
Work collaboratively with matrix partners to lead workstreams towards project milestone
Periodically update work status to project teams, matrix partners, and senior stakeholders
Manage time efficiently and be productive when there are competing priorities
Be compliant with GSK policies and SOPs including recording electronic laboratory notebooks, maintaining safety while working in the lab

Fulltime

Senior ML/AI Engineer

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Comfortable with standard ML algorithms and underlying math
Practical experience with solving classification and regression tasks in general, feature engineering
Practical experience with ML models in production: orchestrating workflows, monitoring metrics
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines
Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts)
Python expertise, Docker
Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, GCP, ECS, EMR/Glue, S3, Lambda, SQS)
English level - Upper Intermediate
Excellent communication and problem-solving skills

Job Responsibility

Create ML models from scratch or improve existing models
Create ML/AI pipelines that include custom models or APIs as part of the processing
Collaborate with the engineering team, data scientists, and product managers on production models
Develop experimentation roadmap
Set up a reproducible experimentation environment and maintain experimentation pipelines
Monitor and maintain ML models in production to ensure optimal performance
Write clear and comprehensive documentation for ML models, processes, and pipelines

New

Senior Python Data Engineer

At 3Pillar Global, we specialize in building impactful software products that po...

Location

Costa Rica

Salary:

Not provided

3Pillar Global

Expiration Date

Until further notice

Requirements

5+ years of building solutions as a Data Engineer or similar fields
3+ years working in Python and SQL with a focus on data
Experience with data plotting dashboarding tools like Streamlit, Tableau, Jupyter Notebook is a plus
Excellent communication skills, attention to detail, and the confidence to take control of project delivery
Quickly understand a highly technical product and effectively communicate with product management and engineering

Job Responsibility

Develop and refine strategies for acquiring research data from scientific laboratory instruments
Engineer and operationalize custom file parsers to handle diverse instrument output formats—including .xlsx, .pdf, .txt, .raw, .fid, and a variety of proprietary vendor binaries
Architect and implement robust data models, along with scalable data pipelines, comprehensive unit and integration tests, and modular utility libraries
Perform comparative analysis of datasets generated by similar instruments or workflows to design shared, extensible data model components
Create visualizations, reports, and interactive dashboards leveraging platforms such as Streamlit, Tableau, Jupyter Notebook, and others

What we offer

Medical Insurance benefits as per company policy
Life Insurance as per company policy
12 days of paid vacation, sick leave and paid holidays as per local law
Paternity and maternity leave as per as per local law
Marriage, bereavement and graduation leaves as per company policy
Sick leave and paid holidays as per local law
Christmas bonus as per local law
Saving Fund “Asociacion Solidarista”
Beach house (Managed by the Asociacion Solidarista)
Discounts in local shops

Fulltime

Senior Product Manager - Notebooks

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 03, 2026

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