Weekday

Frontend Engineer

• Lead the design and evolution of frontend systems for a writing and editing platform.
• Define and own frontend architectural standards for a large product surface.
• Design modular, extensible UI systems that support complex editing and collaboration features.
• Build high-impact user-facing features using modern frontend technologies.
• Shape backend API contracts that are frontend-friendly and scalable.
• Set a high bar for code quality, documentation, testing, and maintainability.
• Mentor senior and mid-level engineers through design discussions and code reviews.

Principal Frontend Engineer

Sales

• Strengthen relationships within a portfolio of enterprise clients and identify opportunities for deeper engagement
• Drive adoption of full-solution offerings—from software platforms to sensor-based automation and chemical solutions
• Implement structured cross-sell and upsell initiatives to maximize account lifetime value
• Identify, engage, and secure new corporate accounts using a consultative, technology-first sales approach
• Displace traditional vendor relationships by positioning AI, IoT, and automation-led solutions
• Develop business cases and proposals that demonstrate clear operational and financial ROI for clients
• Conduct on-site audits, process diagnostics, and shop-floor assessments with technical teams
• Map operational workflows and identify areas for improvement, leveraging AI and sensor technology
• Translate complex industrial challenges into actionable, technology-driven solutions for clients
• Build deep expertise in core manufacturing verticals, starting with Pulp & Paper, and expand to sectors like Metals, Mining, and Oil & Gas
• Maintain strong, multi-level relationships with plant-level and corporate stakeholders.

Strategic Enterprise Sales Manager

Systems Engineer

• Lead the conversion of AI research outputs into stable, scalable, and production-ready systems
• Own the full lifecycle of deployed models, from initial validation to sunset and replacement
• Define clear standards for model readiness, performance thresholds, and operational handoff
• Ensure production AI systems meet reliability, latency, cost, and scalability expectations
• Architect and operate AI platforms supporting both large-scale training and real-time inference
• Build and maintain end-to-end ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring
• Implement robust CI/CD workflows for models, including versioning, rollback, testing, and observability
• Design monitoring systems to track model health, drift, accuracy, latency, and cost efficiency
• Design low-latency inference services with clearly defined SLAs
• Apply model optimization techniques such as compression, quantization, distillation, or hardware acceleration
• Balance performance, quality, and cost across different deployment environments
• Lead and grow a multidisciplinary team of ML engineers, MLOps specialists, and applied AI practitioners
• Establish execution standards that prioritize reliability, speed, and continuous improvement
• Mentor senior contributors and build strong technical ownership across the team
• Act as the primary bridge between AI research, product, and engineering teams
• Manage and prioritize a pipeline of AI initiatives moving from experimentation into production
• Contribute to long-term AI platform strategy, architecture decisions, and roadmap planning
• Partner with cloud and AI platform vendors to leverage advanced tooling and optimize infrastructure spend

Head of AI Systems Engineering

Engineer

• Process large-scale LiDAR point cloud datasets to generate accurate 3D representations of terrain, bridges, buildings, and transportation networks.
• Develop high-fidelity surface models, solid models, and detailed mesh outputs suitable for engineering analysis and visualization.
• Perform noise filtering, classification, and segmentation to ensure data quality and usability.
• Convert point cloud data into engineering-ready models, drawings, and deliverables aligned with civil and structural standards.
• Create detailed digital models for bridge components and other complex structural assets, supporting inspection, analysis, and retrofit planning.
• Collaborate with structural and civil engineers to align models with design intent and analytical requirements.
• Analyze LiDAR-derived models to extract measurements, profiles, and condition insights for infrastructure assessments.
• Prepare technical documentation and reports tailored for engineering, planning, and decision-making audiences.
• Ensure all deliverables meet accuracy thresholds, quality benchmarks, and project specifications.
• Work with CAD, BIM, and civil engineering platforms to integrate LiDAR outputs into downstream workflows.
• Maintain modeling standards, version control, and quality assurance practices across projects.
• Contribute to the improvement of internal workflows, automation, and best practices for LiDAR-based modeling.

Senior Geospatial 3D Modeling Engineer

Risk

• Own hydrological analysis, hydraulic modelling, and stormwater system design for infrastructure projects.
• Lead rainfall–runoff modelling and watershed delineation using hydrology methods.
• Develop and validate hydraulic models using HEC-RAS, HEC-HMS, SWMM, or similar tools.
• Perform floodplain mapping and identify flood-prone zones and system vulnerabilities.
• Design efficient stormwater networks and prepare hydraulic calculations and design documentation.
• Collaborate with multidisciplinary teams on infrastructure planning and climate-resilient development.
• Produce hydrology and flood-risk reports, technical notes, and design submissions for clients.

Lead Hydrology, Flood Risk Engineer

Account Manager

• Act as the executive sponsor and primary point of contact for high-value enterprise customers.
• Build deep, trusted relationships with CXOs and senior stakeholders across client organizations.
• Identify and execute opportunities for account expansion, including cross-sell and upsell initiatives.
• Own commercial outcomes for assigned accounts, including renewals, expansions, and revenue forecasting.
• Oversee onboarding and enterprise-scale rollouts, ensuring smooth implementation and rapid adoption.
• Partner with delivery, product, and technology teams to ensure commitments are met with high quality.
• Lead enterprise pitches, solution positioning, and commercial negotiations for new and existing accounts.
• Monitor industry trends, customer feedback, and competitor activity to inform account strategy.

Director – Enterprise Client Partnerships

Growth Marketing

• Own and execute large-scale enterprise sales cycles from prospecting to contract closure and revenue realization.
• Lead strategic pursuits involving multi-year, high-value SaaS and cloud engagements.
• Manage commercial structures including pricing, contracts, milestones, and payment cycles.
• Establish yourself as a trusted advisor to CXOs, business heads, and senior technology leaders.
• Build deep, multi-threaded relationships across enterprise accounts to ensure long-term engagement and growth.
• Represent the organization in executive meetings, negotiations, and strategic discussions.
• Identify and drive cross-sell and upsell opportunities within existing enterprise accounts.
• Develop account growth plans focused on wallet share expansion and long-term value creation.
• Translate complex enterprise requirements into compelling solution narratives and commercial proposals.
• Track market trends, competitor movements, and customer insights to refine enterprise GTM strategies.

Director – Enterprise Growth

QA Engineer

• Execute User Acceptance Testing (UAT) and Functional Testing for asset management and capital markets platforms.
• Validate end-to-end workflows spanning trade lifecycle, post-trade processing, and investment accounting.
• Ensure systems meet business expectations before production release.
• Test trade capture, order execution, and transaction processing across asset classes.
• Validate workflows across middle office and downstream accounting systems.
• Perform functional validation of Pricing and valuation processes, Corporate actions handling, Reconciliations and custody flows, Collateral and settlement processes.

Asset Management QA, Business Validation Specialist

Accounting Manager

• Support preparation and review of US tax filings for individuals, corporations, and partnerships
• Assist with federal and state tax compliance activities, including documentation and reconciliations
• Conduct basic tax research to support filing accuracy and regulatory adherence
• Help respond to IRS or state notices and support audit-related documentation
• Contribute to tax planning and optimization tasks under senior guidance
• Handle day-to-day bookkeeping and monthly accounting activities
• Support month-end close processes including journal entries and ledger reviews
• Prepare bank reconciliations and assist with financial statement preparation
• Support accounts payable, accounts receivable, payroll entries, and cash flow tracking
• Ensure accounting records comply with US GAAP standards
• Work hands-on with accounting tools such as QuickBooks and Xero
• Maintain organized, audit-ready financial and tax documentation
• Ensure accuracy and consistency across financial records and reports.

Accounting & Tax Compliance Specialist

• Own and manage a portfolio of clients, acting as the primary relationship manager.
• Build strong, long-term relationships with key stakeholders and decision-makers.
• Ensure seamless onboarding, engagement, and ongoing support for clients.
• Drive account expansion through upselling, cross-selling, and renewals.
• Identify growth opportunities within existing accounts and convert them into revenue.
• Support the sales pipeline by coordinating with internal sales and delivery teams.
• Track account performance, revenue metrics, and client health.
• Work closely with the Founder’s Office on strategic initiatives, key accounts, and special projects.
• Assist in preparing sales reports, client insights, and growth plans for leadership reviews.
• Act as the bridge between clients and internal teams to ensure timely delivery and issue resolution.
• Maintain accurate CRM records, sales data, and account documentation.
• Contribute to improving sales and account management processes.