Project Manager - Audio Description Operations (Latam)

Who We Are: Muniworth is a dynamic, cloud-based SaaS startup dedicated to empowering municipal governments with precise financial forecasting tools. Our innovative platform enables local governments to achieve financial sustainability and make informed, data-driven decisions to support essential infrastructure and public utilities. We are a passionate, growing team committed to programming excellence, software quality, and the exploration of generative programming ("vibe coding") as the future of development. What You'll Do: Design and build complete applications, spanning both frontend and backend, with a strong emphasis on leveraging AI-driven development tools and generative programming approaches. Demonstrate the capability to write full applications by hand, while embracing AI assistance for the majority of development tasks. Collaborate with full-stack engineers to balance workloads and accelerate productivity. Ensure the reliability and maintainability of applications through testing, debugging, and code reviews. Engage proactively with the team, helping shape tools that have a direct and positive impact on municipal governments and their communities. Requirements Who You Are: You're an experienced Full Stack Developer who enjoys building engaging user interfaces. You are excited about working with generative programming and leveraging AI to create beautiful, intuitive applications. You thrive when 90%+ of your role involves AI-assisted development, and you bring both technical expertise and creative flair. While you have a strong appreciation for user-first design and UI/UX, you're comfortable working across the stack and contributing wherever needed. Former game developers with strong UI/UX sensibilities may find this role a great fit—but to be clear, this is not a game development job. Likewise, if you have experience creating and launching a complete product on your own—such as acting as the technical founder of your own startup or leading the development of an independent business venture—that ability to independently bring a product to life will be highly valued in this position. What You Bring: Extensive experience in full stack development, ideally using TypeScript, React, NodeJS, and ExpressJS. A strong interest in UI/UX work, with an eye for design and the ability to think from a user-first perspective. Comfortable working across the stack, with a preference for frontend tasks. Excellent problem-solving abilities. Strong communication and collaboration skills within agile team environments. A proactive, adaptable mindset suited for startup culture, embracing variability and actively pitching in wherever needed. Prior experience with generative programming (vibe coding) at a senior developer level. Nice to have: Experience with Azure and NoSQL databases. Benefits Why Join Muniworth: Competitive salary and comprehensive health and dental benefits. Flexible work hours (40 hours/week), accommodating your schedule preferences. Modern, comfortable office in the heart of downtown Victoria, BC—100% in-person role. Regular team-building events and social activities (optional but encouraged). Opportunity to directly influence critical municipal financial infrastructure and positively impact communities. For an ideal candidate with exceptional experience, we are open to offering compensation beyond the listed salary range.

About Us Gramian Consulting is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. This opening is on behalf of one of our clients, and we’ll work closely with you to make the process clear and straightforward. About the company Our client is a venture-backed, product-led SaaS company serving modern online businesses and Content Creators. They build tools that help independent operators launch, sell, and manage their offerings end-to-end—from storefronts and checkout to analytics and customer engagement. The team is lean, senior, and highly collaborative, with engineers closely involved in product decisions. The environment favors rapid iteration, measurable outcomes, and craftsmanship in both UX and reliability. The company is headquartered in North America with a distributed team; meaningful overlap with Pacific Time is preferred. Role Overview We’re hiring a Product Manager (Creator Tools) who blends hands-on product execution with an active creator mindset. You’ll own discovery through delivery on a fast-moving roadmap, validate ideas with real users, and share updates publicly to inspire and inform the community. This role suits a doer who is comfortable shipping quickly, simplifying complex problems, and rallying teams around outcomes. Key Responsibilities Own near-term roadmap (1–3 months): define objectives, prioritize bets, and keep delivery on track with clear success metrics. Continuous discovery: talk to creators weekly, synthesize insights, and translate them into problem statements, PRDs, and experiment plans. Ship & iterate fast: run lightweight A/B tests, launch MVPs, and make crisp decisions using directional data (dashboards, funnels, retention). Operational leadership: lead weekly sprint rituals, unblock engineering/design, refine scope, and keep momentum high. Prototype & communicate: create wireframes and narratives in Figma/Notion; align stakeholders with concise written docs. Build in public: publish short product updates/learnings on Instagram to engage users and gather feedback. Measure what matters: define and track product KPIs; report outcomes and learnings to the team. Raise the bar: bring taste for UX and quality; ensure reliability, privacy, and trust are considered in every release. Location & Work Mode Toronto HQ; primarily in-office with flexibility for creator events and user research. Relocation support can be discussed during the process. Requirements Must-Haves 2+ years as a Product Manager or Founder with a credible PMF story. Active Instagram Creator posting ≥3 times/week; comfortable sharing product work publicly. Toronto-based (or willing to relocate) and excited to work primarily in-office. Highly self-directed; able to operate like an internal “mini-agency” from brief to launch. Strong bias for action—ships quickly, iterates based on signal, doesn’t wait for perfect information. Clear, structured thinker who reduces complexity and focuses on real user pain. Female preferred/only Nice-to-Haves (not all required) Early-stage startup experience on lean teams (≈1–20 people). Technically conversant: understands trade-offs and can partner closely with engineering. Team amplifier who builds trust across functions and lifts execution quality. Owner mentality with product intuition and business awareness. Strong eye for design and details; empathy for creators and their workflows. Collaborative style—peers enjoy working with you and you make the team better. Ambition to build something meaningful and long-lasting. Benefits Equity Group Health Insurance Benefits – 100% Premium Coverage 100% Coverage Paramedical Benefits up to $750 Out of Country Emergency Care Up to 100% Coverage on Medications up to $10,000 100% Coverage on Dental up to $2,000 Health & Wellness Membership Reimbursement up to $500 per year, subject to verification by the Company of regular use Lifetime membership subscription to Stan Home office stipend is available based on need and is subject to the Company’s sole discretion.

About Us Gramian Consulting is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. This opening is on behalf of one of our clients, and we’ll work closely with you to make the process clear and straightforward. About the company Our client is a venture-backed, product-led SaaS company serving modern online businesses and Content Creators. They build tools that help independent operators launch, sell, and manage their offerings end-to-end—from storefronts and checkout to analytics and customer engagement. The team is lean, senior, and highly collaborative, with engineers closely involved in product decisions. The environment favors rapid iteration, measurable outcomes, and craftsmanship in both UX and reliability. The company is headquartered in North America with a distributed team; meaningful overlap with Pacific Time is preferred. Role Overview We’re seeking a Senior Full-Stack Engineer (React/Node.js) to own features from concept to production. You’ll partner with design and product, shape APIs and data models, improve performance and reliability, and help evolve a modern CI/CD and observability setup. This role suits someone who enjoys moving quickly, sweating details, and operating with a high degree of autonomy. Key Responsibilities End-to-end feature ownership: scope, design, implement, test, release, and iterate across web frontend (React/TypeScript) and backend services (Node.js/TypeScript). Backend & data: design clean APIs, model relational/NoSQL data, implement caching/queuing, and optimize performance at scale. Frontend excellence: build accessible, responsive interfaces with strong attention to UX, latency, and stability. Quality & operations: expand automated tests, strengthen CI/CD pipelines, and contribute to runtime monitoring, alerting, and incident response. Security & privacy: apply secure coding practices, protect user data, and participate in reviews. Collaboration: work closely with design, product, and go-to-market partners; translate feedback into pragmatic, shippable solutions. Engineering culture: perform thoughtful code reviews, mentor teammates, and improve docs, standards, and developer experience. Requirements Must-Haves 5+ years building production web applications. Strong proficiency with JavaScript/TypeScript, React, and Node.js. Demonstrated ownership of projects from discovery → design → deployment → iteration. Solid fundamentals in HTTP APIs, data modeling, testing strategies, and performance tuning. Comfort operating in a fast-paced, ambiguous environment with a bias to action and customer impact. Effective communication and collaboration skills across engineering, product, and design. Nice-to-Haves (not all required) Experience scaling systems during rapid user or revenue growth (profiling, caching, background jobs, horizontal scaling). Backend services in Python or Go in addition to Node.js. Cloud-native experience (AWS/GCP/Azure), infrastructure-as-code, containers, and orchestration (Docker/Kubernetes). Event-driven architectures, messaging/streaming, and microservices patterns. Product analytics, experimentation platforms, and a strong eye for UI polish. Prior startup experience on lean teams with high ownership and tight feedback loops. Benefits Equity Group Health Insurance Benefits – 100% Premium Coverage 100% Coverage Paramedical Benefits up to $750 Out of Country Emergency Care Up to 100% Coverage on Medications up to $10,000 100% Coverage on Dental up to $2,000 Health & Wellness Membership Reimbursement up to $500 per year, subject to verification by the Company of regular use Lifetime membership subscription to Stan Home office stipend is available based on need and is subject to the Company’s sole discretion.

GHGSat is mapping and tracking the world's greenhouse gas (GHG) emitters. To achieve this goal GHGSat operates its own satellite and aircraft sensors to collect emissions data, and uses these with third-party data to inform an analytics pipeline that:  Detects and quantifies GHG emissions  Identifies and classifies potential GHG emitters  Generates valuable insights for our customers  We're looking for a Geospatial Data Engineer based in Montreal QC, who will play a key role in building and optimizing our geospatial data and AI/ML pipelines to support GHGSat’s mission of driving climate impact. This role involves integrating geospatial data from various sources, designing robust data systems, and contributing to analysis and insights generation.    Requirements Key Responsibilities  Data Pipeline Development   Design, implement, and optimise scalable geospatial data and AI/ML pipelines.  Integrate new data sources, including satellite and terrestrial, both public and proprietary.  Re-engineer and validate existing pipelines, ensuring high-quality and performance standards.  Geospatial Data Management   Blend and process various geospatial data sources to create artifacts for exploratory analysis and insights.  Build scripts and automations for geospatial data processing, using tools like QGIS, GeoPandas, Rasterio, Xarray and rioxarray.  Conduct geospatial analysis and contribute to mapping and visualization.  Automation and Deployment   Contribute to the automation of testing, deployment, and monitoring of data pipelines and AI/ML models using Airflow, Docker, and AWS services.  Collaboration and Innovation   Work collaboratively with the Analytics team, Subject Matter Experts, and cross-teams to prototype new data solutions.  Explore applications of AI/ML for geospatial data and integrate emerging technologies where possible.  Present findings and recommendations to both technical and non-technical stakeholders, fostering a data-driven culture.  Communicate complex geospatial data insights in a clear, accessible manner to support informed outcomes.    Desired Attributes  Impact-Driven Mindset: Passionate about contributing to environmental sustainability and climate impact.  Self-motivated and collaborative worker: Able to work proactively and as part of a team, using initiative to uncover solutions to improve workflows and data processes.  Continuous Learner: Continuously seeks out new geospatial technologies, trends, datasets, and tools to incorporate into projects.  Effective Communicator: Able to convey technical information effectively to both technical and non-technical audiences, promoting a collaborative environment.  Qualifications  2-4 years of experience in data engineering, with specific expertise in geospatial data processing and analysis.  Proficiency in Python and experience with libraries like Pandas, NumPy, SciPy, and scikit-image.  Experience with geospatial libraries such as GeoPandas, Rasterio, Xarray, rioxarray, and QGIS.  Familiarity with SQL and geospatial databases (e.g., PostgreSQL/PostGIS).  Comfortable with cloud infrastructure (AWS preferred), containerization tools (Docker), and version control (Git).  Knowledge of AI/ML concepts applied to geospatial data is a plus.  Knowledge of frameworks like ClearML and STAC is beneficial.    Note:  We understand that you may not have experience with every tool or technique listed here. If you have a strong foundation in geospatial data engineering and a willingness to learn, we encourage you to apply!  Benefits This is a rare opportunity to join a new analytics team in Canada. You’ll join a small but mighty team, have high impact, and help scale a company that’s doing meaningful work for the planet. Competitive salary + stock options for all full-time employees   Health/Dental benefits   Paid Time Off + floating statutory holidays   Flexible work environment  GHGSat offers a creative and highly motivating work environment. We offer competitive salaries, health and social benefits including flex-time and continuing development. We are committed to a diverse and inclusive workplace. GHGSat is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, , age, or other legally protected status. If you would like to request an accommodation, please notify your recruiter. 

GHGSat is mapping and tracking the world's greenhouse gas (GHG) emitters. To accomplish this goal GHGSat operates its own satellite and aircraft sensors to collect emissions data, and uses these with third-party data to inform an analytics pipeline that:  Detects and quantifies GHG emissions  Identifies and classifies potential GHG emitters  Generates valuable insights for our customers  The successful candidate will extract, analyse, and interpret large amounts of structured and unstructured data from a range of proprietary and public sources, using modern data science techniques to develop emissions intelligence for GHGSat’s analytics products. Opportunities to contribute to the publication of scientific papers are possible. Requirements Key Responsibilities:  Data Exploration and Curation  Visualisation and storytelling.  Discovering and evaluating new data sources.  Keeping up to date with relevant scientific literature.  Data preparation for machine learning (e.g. data modelling, automatic data cleaning).  Develop and cultivate data quality best practices.  Model Design, Development and Deployment  Develop algorithms, machine learning models and statistical methods.  Validate, improve, and integrate algorithms and models developed by others.  Operationalise machine learning pipelines on the required infrastructure with the support of engineers.  Derive, Deliver and Communicate Insight  Present results to technical and non-technical audiences.  Work collaboratively within the Analytics Team and with other subject matter experts to design and prototype solutions for analytics problems.  Demonstrate strong communication skills and critical, bold thinking in all situations.  Rapid Innovation and Prototyping  Build prototypes quickly to address applied scientific and business problems.  Provide high attention to detail with ability to manage and resolve multiple priorities, project complexities and uncertainties.  Keep abreast of latest developments in data science and machine learning.    Desired Attributes: Impact-Driven Mindset: Passionate about contributing to environmental sustainability and climate impact.  Self-motivated and collaborative worker: Able to work proactively and as part of a team, using initiative to uncover solutions to improve workflows and data processes.  Continuous Learner: Continuously seeks out new data science techniques, technologies, and datasets to incorporate into projects.  Effective Communicator: Able to convey technical information effectively to both technical and non-technical audiences, promoting a collaborative environment.  Skills and qualifications: Experience: 1-2+ years of experience as a data scientist, with expertise in exploring data and developing machine learning solutions.   Education: MSc or higher in physics, computer science, data science, engineering, theoretical chemistry or biology, mathematics, computational science, or a related field.  Technical proficiency: Confidence writing code (Python, Git) and willingness to learn supporting technologies (e.g. Docker, AWS).  Core competencies: Knowledge and experience in three or more of the following:  Exploratory data analysis (e.g. Pandas, NumPy)  Statistics and machine learning (e.g. Scikit-learn, time-series analysis, Bayesian techniques)  Mathematical modelling of physical systems (e.g. physics, chemistry, systems biology)  Deep learning, computer vision and image processing (e.g. PyTorch, Detectron, OpenCV)  Geospatial modelling (e.g. Rasterio, Xarray, GeoPandas, QGIS)  Analytical skills. Strong analytical and problem-solving skills with the ability to work collaboratively in a cross-functional team.  Note: We understand that you may not have experience with every tool or technique listed here. If you have a strong foundation in data science and a willingness to learn, we encourage you to apply! Benefits This is a rare opportunity to join a new analytics team in Canada. You’ll join a small but mighty team, have high impact, and help scale a company that’s doing meaningful work for the planet. Competitive salary + stock options for all full-time employees   Health/Dental benefits   Paid Time Off + floating statutory holidays   Flexible work environment  GHGSat offers a creative and highly motivating work environment. We offer competitive salaries, health and social benefits including flex-time and continuing development. We are committed to a diverse and inclusive workplace. GHGSat is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, , age, or other legally protected status. If you would like to request an accommodation, please notify your recruiter. 

What is the opportunity? We are a firm that does things a little differently. This is your opportunity to join our high-calibre, experienced group of professionals on a mission to re-imagine the future by changing the way that buildings are conceived and constructed. Entuitive is looking for an Intermediate Structural Engineer, based in our Edmonton office. Take the opportunity to learn more about the structural engineering and special projects and restoration service at Entuitive. We are passionate about our work and the talented individuals that get to deliver complex projects on a regular basis. What will you do? Execution of structural projects and act as Engineer of Record within the realm of existing buildings from conceptual design to final completion: Perform site assessments and prepare evaluation reports Perform designs and prepare contract drawings and specifications Review work in field and provide reports Write and administer construction contracts Structural engineering calculations for all structural components including columns, beams, slabs, foundations, and lateral systems, particularly for assessment and strengthening existing structures Works to assemble and coordinate engineering drawings and contract documents in collaboration with our BIM technologists and other members of the engineering team. Conduct field reviews and other contract administrative duties. Type of projects will include: Restoration, remediation and retrofit of existing buildings Renovations and tenant improvements Structural assessment and upgrade of buildings for new loading conditions, occupancy changes, additions, and expansions Structural condition assessments Requirements What do you need to succeed? Minimum Bachelor’s degree in structural engineering 6+ years of relevant experience in the engineering consulting industry P.Eng. or eligible to register in Alberta Excellent communication skills both verbal and written Strong background in the field of existing buildings and restoration including current and leading-edge knowledge of materials and processes. Strong experience with working on several projects with different scale and type simultaneously Project management skills with ability to manage scope, schedule and budget is considered an asset Having experience in or exposure to multiple building materials (wood, structural steel, masonry, concrete, and cold-formed steel) in terms of design, evaluation, and/or remediation is considered an asset. Must have a valid driver’s license and access to a reliable vehicle and maintain throughout employment. Benefits Why Entuitive? Flexible working hours, 37.5 hour work week. Minimum 4 days a week in office. Building strong relationships and collaborating internally is important to us! Commitment to staff growth through mentoring and training. Employer paid medical, dental, and vision insurance premiums for employees and their dependents. Generous parental leave policy. RRSP matching up to 5%. Participation in our discretionary profit-sharing plan. About Entuitive We are deeply committed to fostering an inclusive, equitable, and accessible environment where all employees and clients feel valued, respected, and supported. Entuitive will ensure that reasonable accommodations are made to persons with disabilities during the recruitment and assessment processes. If you are excited about this opportunity and are interested in learning more about Entuitive, please check out our About Us page. At Entuitive, we prioritize human-centric evaluation methods and do not utilize AI for screening or recruitment processes.