Pricing Agent Job at TRANSPORT BOURASSA INC. (Saint-Jean-sur-Richelieu)

New

Commercial Lines Underwriter II

Indiana Farmers Insurance is currently looking for a Commercial Lines Underwrite...

Location

United States , Indianapolis

Salary:

Not provided

Indiana Farmers Insurance

Expiration Date

Until further notice

Requirements

Five years of property casualty experience
Two years of experience in Commercial Underwriting
Regularly communicating and occasionally scheduling agency visits to strengthen agency relationships and foster territory growth and profitability
Bachelor’s degree, preferred
Training and assisting less experienced underwriters, as well as agents, in understanding coverages, analyzing risks, and learning the business in general
Monitoring and managing retention, growth and profitability of an assigned book of business
Effective communication skills (both listening and speaking) and positive interpersonal skills
Strong sales acumen with the ability to sell our products and pricing in the face of competition
Thorough and detail oriented, with a strong sense of urgency
Ability to work independently and stay self-motivated

Job Responsibility

Evaluate new and renewal risks
Analyze coverage needs
Make thoughtful underwriting decisions that balance opportunity with sound risk management
Determine appropriate premiums, coverage terms, deductibles, limits, and endorsements for accounts approved for coverage
Collaborate closely with fellow underwriters and agents to find solutions, support business growth, and help drive informed decisions

What we offer

Free Health insurance
Free Dental insurance
Free Vision insurance
Free Life insurance
Free Short-Term & Long-Term Disability insurance
2% 401k Company Match
11% 401k Company Contribution
Excellent Paid Time Off
Generous paid time for Parental Leave
Day of Service

Fulltime

New

Sr. Sw Engineer, Machine Learning

We are hiring a Senior Engineer to lead the architecture and implementation of a...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or a related field
Experience building recommendation or decisioning systems, ideally in advertising, media, or revenue-platform environments
Strong understanding of modern LLMs and agentic systems, and the ability to evaluate latency, cost, and quality tradeoffs
Solid experience with LLM and multi-agent pipelines, including prompting, tool use, orchestration, tradeoff analysis, and error handling
Experience deploying ML systems in production, including model serving, containerization, CI/CD, and monitoring
Hands-on experience with modern ML frameworks and tooling such as PyTorch, Hugging Face Transformers, agent orchestration frameworks (e.g., LangGraph or similar), feature stores, and vector databases for RAG workflows
Experience designing evaluation approaches for recommendation and generative systems using human review, automated and offline metrics, and online A/B testing
Strong software engineering fundamentals and solid production experience in Java or Python
Ability to translate ambiguous business requirements into practical technical solutions and communicate tradeoffs clearly to cross-functional partners

Job Responsibility

Define the technical architecture and overall stack for an agent-native business applications platform spanning pricing guidance, booking and order intelligence, upsell recommendations, churn and retention prediction, media planning, deal scoring, revenue forecasting, and more
Evaluate LLMs, multimodal systems, multi-agent orchestration frameworks, and recommendation, ranking, and forecasting models for product use
Design and build the pipeline from business and customer signals to model inference, recommendation generation, output validation, and integration with internal revenue systems and APIs
Build production-grade systems with strong error handling, output validation, explainability, auditability, and human-in-the-loop guardrails for high-stakes pricing and financial decisions
Partner cross-functionally with ML, backend, frontend, data, and business teams to iterate quickly based on feedback and business needs
Drive technical decisions that directly influence revenue impact, product quality, scalability, and time-to-market

What we offer

Global access to mental health and financial wellness support and resources
Healthcare (medical, dental, and vision)
Life, accident, disability, commuter, and retirement options (401(k)/pension)
Time off in accordance with local leave policies

Fulltime

New

Principal AI Factory Solution Product Manager

Product Manager - AI Factory Solution

Location

United States , Spring

Salary:

152000.00 - 349000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

July 27, 2026

Requirements

Bachelor's degree in Computer Science, Engineering, Business, or a related field
MBA or advanced degree preferred
10+ years of product management experience, with at least 5 years focused on AI/ML products or solutions
Demonstrated ability to build large-scale AI solutions that bring together hardware, software and services into a cohesive offering
Strong understanding of AI technologies, including AI/ML lifecycle (training, tuning, inferencing), large language models, computer vision, and cloud-based AI platforms (e.g., AWS SageMaker, Microsoft AzureML, Google AI)
Proven track record of launching successful AI products, with experience in agile methodologies and tools like Jira
Background in High Performance Computing (HPC) and experience blending it with AI workloads will be an advantage
Excellent analytical skills, with proficiency in data analysis and market testing
Outstanding communication and stakeholder management abilities, capable of presenting to technical and non-technical audiences up to the senior executive/SVP levels
Ability to thrive in a startup-like fast-paced, innovative environment with strong problem-solving skills

Job Responsibility

Define and drive the overall AI factory at-scale and sovereign solution vision, roadmap, and features, while closely aligning with customer needs and HPE strategic goals
Define and drive the key software components necessary for the solution, which may be a mix of HPE developed, commercial and community IP
Conduct market research, competitive analysis, and customer interviews to identify AI factory opportunities and validate solution ideas and software features in a quick turn manner
Collaborate with engineers, product managers and presales architects to translate requirements into technical specifications and prototypes
Oversee the software integration and end-to-end solution lifecycle, from feature ideation and MVP development to launch, iteration, and scaling
Monitor solution performance using KPIs like full-stack wins, product mix, customer satisfaction, and iterate offering based on data insights
Work with legal, finance, pricing and supply chain to setup and manage resale contracts for commercial SW
Partner with sales and marketing to develop go-to-market strategies, pricing models, support strategies and customer enablement materials
Ensure solution complies with ethical AI standards while ensuring highest level of data privacy and sovereignty (e.g., GDPR, CCPA)
Stay abreast of AI trends, such as generative models, agentic AI, and industry applications

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

New

Data Science Manager

As a Data Science Manager within the Customer Development XOPS team in Data Foun...

Location

United States , Hoboken

Salary:

103000.00 - 154400.00 USD / Year

Unilever

Expiration Date

Until further notice

Requirements

Degree qualified in a relevant technical discipline (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or similar)
Proven experience leading data science teams working on complex analytics initiatives in a commercial or product-driven environment
Strong background in data science modelling, with deep expertise in several of the following: Econometric modelling (Regression, Bayesian approaches) especially in the context of pricing and promotions in the CPG/Retail space
Time series forecasting
Simulation and optimisation tools
Experience designing and industrialising machine learning solutions at scale
exposure to agent-based AI systems is a strong advantage
Advanced proficiency in Python, Spark, and modern analytics stacks
hands-on experience with Databricks and Azure
Strong people leader with experience coaching and developing talent in multidisciplinary teams

Job Responsibility

Own and shape the data science roadmap for products within our Customer Development (CD) portfolio, aligned to commercial priorities and business outcomes
Lead the design, development, and deployment of diagnostic, predictive, and prescriptive analytics solutions, ensuring robustness, scalability, and interpretability
Set modelling and analytical standards across the team, covering classical statistical methods, machine learning, and emerging Generative and Agentic AI capabilities
Ensure solutions are industrialised and production-ready, leveraging cloud platforms (Azure, Databricks) and aligned with MLOps best practices
Lead, coach, and develop a team of data scientists, supporting both technical growth and career progression
Foster a culture of high ownership, continuous improvement, and learning, encouraging experimentation while maintaining delivery discipline
Provide technical guidance and review, acting as a mentor and escalation point for complex analytical challenges
Partner closely with Product, Engineering, and Business stakeholders to shape problem definitions, prioritise initiatives, and drive adoption of data science solutions
Translate complex analytics into clear, actionable insights for senior stakeholders, supporting data-driven decision-making
Balance short-term delivery with long-term capability building, ensuring alignment between local market needs and global product strategy

What we offer

Health insurance (including prescription drug, dental, and vision coverage)
retirement savings benefits
life insurance and disability benefits
parental leave
sick leave
paid vacation and holidays
access to numerous voluntary benefits

Fulltime

New

Senior Specialist Margin Assurance

The Senior Specialist – Margin Assurance & Group Governance plays a critical rol...

Location

Congo, the Democratic Republic of the , Kinshasa

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Bachelor’s degree in finance, Accounting, Economics, Telecommunications, Engineering, Information Systems, or related field
3–5+ years of experience in Telecom Revenue Assurance, Mobile Money Operations, Financial Control, Audit, Governance, Business Process Management, or Change Management
Strong understanding of GSM revenue streams, billing systems, mediation, and Mobile Money platforms
Experience in reconciliation, process governance, and operational risk management
Experience supporting product launches, pricing updates, system upgrades, and operational transformations

Job Responsibility

Monitor and analyze daily margin performance across GSM services including Voice, Data, SMS, VAS, and Interconnect
Validate tariffs, bundles, promotions, and pricing configurations for accuracy and compliance
Ensure proper revenue realization from usage, billing, rating, mediation, and invoice
Monitor usage trends and identify abnormal revenue behaviors impacting profitability
Perform daily reconciliation between network, mediation, billing, and financial systems
Identify and investigate revenue leakages, billing discrepancies, and operational anomalies
Support timely correction of identified GSM revenue assurance issues
Perform regular reconciliations across GSM transaction flows and operational systems
Investigate reconciliation breaks and aged exceptions
Track leakage incidents and ensure corrective/preventive actions are implemented

Fulltime

Revenue Manager

The Starwood Revenue team is one of the main secrets behind our brand’s success....

Location

United States , Austin

Salary:

Not provided

Starwood Hotels

Expiration Date

Until further notice

Requirements

A post-secondary diploma or degree would be a plus
Excellent knowledge on distribution strategies associated with PMS, CRS, and GDS (HMS and Sabre)
Knowledge on various central reservations systems
3rd party extranets and chain CRS
Hotel Revenue Management experience related to pricing, budgets, pace and performance
High level of analytics is involved in this job. Excellent command over Excel, visual basic, access, etc.
Excels at communication, both verbal and written
Is flexible and willing to meet the demands of busy operations.

Job Responsibility

Support ADORM with revenue strategy, distribution, and pricing for multiple properties
Support Distribution initiatives, by increasing hotel room revenues from channels such as Direct Web, voice, GDS or 3rd party intermediaries such as Online Travel Agents
Coordination: Working with various 3rd party internet marketing vendors, CRS providers and other intermediaries that are used daily to increase hotel revenues
Identifying (and deploying) RM & Distribution tools and technology requirements for Starwood managed hotels
Staying on top of demand trends and market conditions and ability to translate into revenue management strategies used to realize the maximum amount of revenue for the hotels
Presents strategy recommendations to the General Managers and Director of Sales & Marketing and is then responsible for implementing and monitoring this strategy
Maintains oversight over the Reservations Departments (on property or call center based), works closely with the Sales & Marketing, Catering, Finance and Front Office departments.

Fulltime

Lead Functional Consultant

HSO is seeking experienced Dynamics 365 Functional professionals for a strategic...

Location

India , Bengaluru

Salary:

Not provided

HSO

Expiration Date

Until further notice

Requirements

8+ years of experience in Dynamics 365 implementations
Strong expertise in Dynamics 365 Sales module including: Sales lifecycle, Lead management, Quote-to-order processes, Security design, Dashboard & reporting management
Strong experience in Dynamics 365 CE Project Operations including: Project-based sales to delivery lifecycle, Project setup and Work Breakdown Structure (WBS) / task planning, Resource scheduling and bookings, Project documentation and knowledge management, Project contracts, milestones and invoicing schedules, Time & expense capture and approval processes, Cost and revenue recognition profiles, Billing, forecasting and profitability management
Understanding of Marketing and Customer Service
Strong understanding of Dynamics 365 Finance & Operations integration with Project Operations using Dual Write
Experience working on projects with Copilot, AI Agents, automation
Experience working on: Customer Engagement to finance integration scenarios, Project contract synchronization, Resource and transaction synchronization, Project invoice and financial integration processes, Dual Write mappings, troubleshooting, and synchronization monitoring
Proven track record implementing Dynamics 365 Project Operations solutions in large-scale enterprise deployments, preferably across multi-country rollouts
Experience as a Functional Lead or Senior Consultant in at least one international end-to-end Dynamics 365 CRM implementation project, preferably with intercontinental rollouts
Experience conducting customer workshops and requirement gathering sessions

Job Responsibility

Lead CRM solution design and functional architecture discussions
Review and approve functional designs, user stories and configurations
Lead functional workshops and discovery sessions for Dynamics 365 Sales and Project Operations implementations
Drive end-to-end solution design across Sales, Project Operations, Finance & Operations and Dual-write integrations
Work closely with stakeholders to define business processes, project delivery models, governance and transformation of roadmaps
Lead implementation activities related to Leads, Opportunities, Projects, Tasks, Journals, Vendors, Price Lists, Time & Expense management, Forecasting, Budgeting, Invoicing and Resource Utilization
Design and Oversee Schedule Board, Resource Requisition, Resource Assignment and Task Planning
Lead design and optimization of complete sales lifecycle processes
Define and improve: Lead Lifecycle Management, Lead to Opportunity process, Opportunity Management, Quote to Order process, Product & pricing management, Sales forecasting and pipeline management
Provide recommendations for sales automation and process optimization

Fulltime

Vice President of Commercial Performance, Data Intelligence & Analytics

Acosta Europe is seeking a visionary VP of Commercial Performance, Data Intellig...

Location

United Kingdom , Stoke-On-Trent

Salary:

140000.00 GBP / Year

Acosta

Expiration Date

Until further notice

Requirements

Proven leadership experience in commercial analytics, insights, or intelligence at a VP or senior level
Strong commercial acumen, ideally within FMCG, retail, or agency environments
Deep expertise in data analytics, BI tools (Power BI, Tableau), predictive modelling, and large-scale data ecosystems
Exceptional communication skills with the ability to simplify complexity
Experience in organisational transformation and embedding analytics at scale
Collaborative, strategic, and results-driven, with a bias for action

Job Responsibility

Shape and execute the organisation's commercial intelligence and performance strategy
Monitor and optimise revenue streams, pricing models, and promotional effectiveness
Drive improvements in sales productivity, capability development, and performance management
Lead the development and reporting of commercial KPIs for the Board and ELT
Identify market opportunities and client growth levers through insight-led thinking
Lead a high-performing multi-disciplinary data and insights organisation
Oversee analytics, reporting, predictive modelling, and data governance
Translate complex data into clear, actionable insights for senior leadership and clients
Ensure data is managed ethically, consistently, and in line with regulatory standards
Increase data literacy across the business and unlock new interconnected data opportunities

What we offer

Circa £140,000 per annum
Plus £9,000 allowance
20% Bonus Earning opportunity

Fulltime

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Pricing Agent

Commercial Lines Underwriter II

Sr. Sw Engineer, Machine Learning

Principal AI Factory Solution Product Manager

Data Science Manager

Senior Specialist Margin Assurance

Revenue Manager

Lead Functional Consultant

Vice President of Commercial Performance, Data Intelligence & Analytics

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