Lutra

Role Description The Electrical & Mechanical Estimator plays a critical role in supporting growth, profitability, and operational excellence by developing accurate, competitive, and timely cost estimates for electrical and mechanical scopes of work. This position ensures that proposals reflect a complete understanding of project specifications, labor requirements, material pricing, and risk considerations. Acting as a key liaison between sales and operations, the role contributes to successful bid outcomes, strengthens client partnerships, and enables the delivery of safe, efficient, and profitable projects. Key Responsibilities - Opportunity evaluation: - Review RFQs and specify services to meet customer requirements - Cost optimization: - Consult with sales and suppliers to understand cost-driving components and deliver cost-effective solutions - Margin management: - Maintain focus on driving toward desired profit margins across all estimates - Bid preparation: - Review and interpret customer data, specifications, and drawings to prepare timely bid packages - Material takeoffs: - Prepare detailed material takeoffs for equipment, labor, subcontractors, and associated project costs - Cost modeling: - Develop cost models, labor hour calculations, and unit pricing based on industry standards and internal benchmarks - Estimation accuracy: - Ensure all estimates accurately reflect material pricing, labor rates, overhead, and margin expectations - Proposal leadership: - Lead the preparation of competitive bids, RFQs, and RFP responses - Vendor coordination: - Coordinate with suppliers and subcontractors to solicit, review, and compare competitive quotations - Risk identification: - Identify clarifications, exclusions, assumptions, and risk factors within each bid package - Proposal support: - Support the creation of proposal narratives, scope summaries, and pricing sheets - Sales partnership: - Partner with sales teams to support presales strategy and customer engagement - Project transition: - Work closely with project managers to transition awarded projects, confirm scope, and support kickoff activities - Technical review: - Identify potential scope gaps, constructability challenges, and project schedule impacts - Compliance assurance: - Ensure estimates comply with industry codes, safety standards, and project specifications - Data management: - Maintain organized estimate files, costing data, and historical project pricing archives - Team support: - Support the robotics and automation team to help drive sales and technical solutions - Customer interaction: - Interact with customers during product solution development to assist in closing new business - Departmental objectives: - Perform related duties as assigned to accomplish departmental goals effectively Qualifications - 3–7 years of estimating experience in electrical, mechanical, or mechanical, electrical, and plumbing environments - Experience with commercial, industrial, or institutional construction projects - Working knowledge of material handling systems including conveyors, sorters, cranes, and ASRSs - Exceptional project management skills - Strong understanding of electrical systems including distribution, lighting, low voltage, and controls - Strong financial acumen with the ability to create pricing models and evaluate project profitability - Detail-oriented with strong attention to accuracy, quality, and precision - Analytical thinker with the ability to break down complex systems and work in a methodical, process-driven manner - Strong problem-solving and critical-thinking abilities with high dependability in meeting deadlines - Clear and effective communicator with both technical and non-technical stakeholders and strong relationship building skills - Commercially minded with an understanding of cost, margin, financial impact, and value building - Collaborative team player who works well across departments and maintains composure under pressure during tight bid cycles - Inquisitive, continuous learner who is ethical, transparent, trustworthy, and organized with strong documentation discipline - Strong numerical reasoning and comfort with calculations - Proactive in identifying missing information, risks, and clarifications - Knowledge of equipment, design, sizing, selection, and varying industry applications - Proven background using estimating software Requirements As this role is open to anywhere in Canada or the United States, the posted salary range is to cover a wide variety of locations (everything from small towns to big cities!). Compensation range by specific location will be shared during the interview process.

Role Description This is a senior marketing leadership role reporting directly to the CEO, with a dotted line to the head of enterprise sales. You will lead and grow the marketing team while collaborating with a fractional CMO who owns demand generation. Your mandate is the systems, brand infrastructure, and content engine that the rest of the go-to-market motion depends on. Key Responsibilities - Marketing systems and operations: Own and evolve the marketing technology stack; build the infrastructure connecting marketing activity to sales pipeline with clean data flows and clear performance visibility. - Campaign and process infrastructure: Establish scalable processes for campaign execution, content production, and cross-functional collaboration with the sales team. - Channel and tooling expansion: Identify and implement new tools and channels as the company’s needs evolve, including laying groundwork for paid programs when the time is right. - Brand and positioning: Build and maintain a sharp, consistent brand narrative and voice across all touchpoints as the company scales. - Product launches and announcements: Own go-to-market execution for product launches, major announcements, and key campaign moments. - Content development: Develop and maintain a pipeline of thought leadership, case studies, one-pagers, and social content that reflects the company’s technical depth and credibility in the manufacturing sector. - Brand governance: Manage and evolve brand guidelines across the website, sales collateral, and event presence. - Sales enablement: Partner with the sales team to develop materials that support pipeline development and deal progression in the manufacturing sector. - Funnel alignment: Ensure tight alignment between marketing and sales on messaging, ICP, and lead handoff. Qualifications - 5+ years of B2B marketing experience at a SaaS, AI, or deep-tech company, with meaningful exposure to industrial or manufacturing buyers. - Demonstrated experience marketing to manufacturing, industrial, or related enterprise buyers, with fluency in the personas, buying cycles, and credibility requirements of the sector. - Strong systems thinking and hands-on experience owning and optimizing marketing technology stacks. - Equally capable of setting brand strategy and executing on content and campaigns directly. - Strong content and storytelling instincts, with the ability to translate complex AI or technical capabilities into clear narratives for non-technical buyers. - Comfortable operating with autonomy and ambiguity; you build structure rather than wait for it. - Startup experience with a track record of delivering results in resource-constrained environments. - Experience with marketing tech stacks including Salesforce (CRM), Mailchimp, Buffer, Webflow, and Figma/Canva. It’s a Bonus If - You have experience working with AI-powered creative or marketing workflow tools. - You have managed agency or contractor relationships for content or creative production. - Your background includes go-to-market work at a company serving regulated or compliance-heavy industrial environments. Compensation As this role is open to anywhere in Canada or the United States, the posted salary range is to cover a variety of locations (everything from small towns to big cities!). Compensation range by specific location will be shared during the interview process.

Role Description Our client is a well-financed, seed-stage startup building a platform of agents that automate financial crime investigations and compliance workflows. The company is a Delaware corporation that currently operates with remote teams distributed across the United States and Canada. They are a hard-charging startup that has raised $6.2M, grew to $1M in ARR in under one year, and has marquee clients around the globe including Kraken (US), Koho (Canada), and Viva (EU). Their product enables customers to invoke (or “hire”) agents that automate: - AML - Sanctions screening - Adverse media monitoring - KYC - Transaction screening and monitoring The solution combats revenue losses that result from high-friction customer onboarding and the rising costs of compliance missteps, allowing growing businesses to scale revenues rapidly without making compliance tradeoffs. The product is not versioned for customers, and the engineering team deploys daily. The company is led by an experienced founder who has raised more than $100M to date and has grown their last venture to a $1.5B valuation. Both the founder and CTO have led fintechs that required large compliance teams and have had outlier experience in the domain. As of November 2025, the company does not yet have any direct competitors in its space. Qualifications - Comfortable across the stack with deep architectural experience in large-scale distributed systems and data management - Strong product mindset and comfortable working iteratively with fuzzy requirements - Experience scaling backend infrastructure and very comfortable with at least one major cloud provider - Bias to action and subscribe to the getting things done (GTD) engineering methodology - Experience building production services/APIs in Python - Fantastic command of English Requirements - Design and implement event‑driven, real‑time, highly concurrent systems leveraging advanced concurrency patterns, asynchronous messaging, and performance optimizations to ensure low‑latency, high‑throughput and fault‑tolerance - Collaborate on cloud‑native architecture, infrastructure as code, CI/CD pipelines, autoscaling and load‑balancing strategies, security best practices, and observability efforts - Integrate LLMs and other emerging AI technologies, select and potentially fine‑tune models, orchestrate deployments, and monitor performance - Guide architecture and design decisions, conduct code reviews, establish best practices, and coach team members to accelerate their technical growth while reinforcing a culture of continuous improvement Benefits - The base pay range for this role is CA$150,000 – CA$200,000 per year.

Role Description Our client is a well-funded, venture-backed AI platform company on a mission to make life-saving drugs accessible and affordable for everyone. As their founding forward deployed engineer, you'll be the first hire on a new team sitting at the intersection of the product and enterprise customers. You’ll split time between core product engineering and building within their customers’ environments. Success in this role means: - Understanding the customers’ data environments. - Deploying and configuring the platform. - Building custom integrations and workflows. - Ensuring the product delivers real, measurable value. This is not a sales engineering or solutions consulting role. You will write production code in the customer's environment, on their data with an expectation that ~80% of what you build merges back into the main platform. You will also heavily influence the product roadmap by serving as a critical feedback loop between customers and the internal product and engineering teams. The product surface spans: - An operational data platform. - An AI-powered document intelligence layer distributed natively on Snowflake. - A raw material variability and genealogy analytics product. - A GxP-grade AI agent for shop-floor decision-making that integrates with MES, QMS, and LIMS systems. Please note that while the overwhelming majority of forward deployed work happens remotely, there is very occasional travel (roughly twice annually) to customer sites across North America and Europe. Qualifications - 6+ years of experience as a software engineer. - Recent experience with field deployments and shipping software inside customer environments. - Comfortable with Python, production-grade system design, and async patterns. - Experience shipping LLM-enabled features and products. - Familiar with prompt engineering, schema validation, and cost/latency optimization. - Experience deploying and operating AWS (or comparable) infrastructure with Terraform. - Fantastic command of English, comfortable presenting to executive stakeholders and pairing with hands-on engineers. - Practical handle on security and compliance constraints (SOC 2, HIPAA, GxP, or similar). - Comfortable working with fuzzy problems and have a high sense of ownership over your work. Requirements - Translate customer needs and pain points into actionable signals for the internal product and engineering teams. - Own the platform deployment into enterprise pharma and manufacturing accounts from kickoff through go-live. - Build connectors between customer systems and the platform. - Configure and extend AI-powered document processing pipelines for customer document types. - Navigate security reviews, SSO integrations, and compliance requirements alongside customer teams. - Represent the company technically in customer meetings, workshops, and executive briefings. - Create technical documentation, runbooks, and integration guides. Benefits - Base pay range of $180,000 – $230,000 per year (in local currency) + bonus + equity. Company Description Our client prioritizes talent density and has built a high-ownership, high-autonomy environment with a track record of fostering accelerated professional development.

Your opportunity Our client builds North America’s leading clinical practice software for mental healthcare providers. They are a mission-driven innovator rooted in research and building the tools to support the emergent clinical category they are creating. They currently serve >350 healthcare organizations and tens of thousands of clinicians delivering care in clinics, hospitals, campuses and workplaces. The company also serves regional health systems by providing population-level insights and bolsters continuity of care by making patient data on the platform portable to a variety of care providers and program administrators. The mission was inspired by personal experiences with the shortcomings and inconsistencies in mental healthcare practice and the founders are dedicated to improving the quality of care within these systems. The company is ~9 years old and recently closed its first lettered venture round of financing. Despite the capital injection the team is growing in line with revenue, and minimal reliance on outside capital. The current wave of hiring was unlocked by revenue and a large implementation that will roll out to millions of insurance plan members over the coming months. The company is ~80 total team members and as a analytics engineer, you will join an R&D organization of ~29 team members (with a data team of~5, ~7 in product and design, and ~17 in software engineering). The teams are organized into 5 cross-functional pods focusing on platform, core clinical solutions, data and AI platform, integrations, and population health. The data team that you will join works with highly privileged data and produce insights that meaningfully improve people’s health. They are a small, growing, remote-first team and successful data team members tend to be high ownership communicators who take initiative, clarify requirements, and work cross-functionally with a steady eye on high-level business requirements and constraints. Key responsibilities - Data modelling & transformations: Own and evolve the analytics data model in dbt/BigQuery, building maintainable, well-tested transformations that support product analytics, custom use cases, and new feature development - Looker stewardship and analytics technical strategy: Act as a technical steward for Looker and help shape the broader analytics strategy, including explores, views, folder structure, customization patterns, performance, and developer workflows - Customer analytics customizations: Own the technical delivery of complex customer-specific analytics requests, from scoping and prioritization through implementation, testing, documentation, rollout, and customer walkthroughs - Analytics architecture and productization: Default to reusable, productized solutions wherever possible, creating shared models, standard tiles, and scalable patterns to minimize one-off work - Analytics support, debugging, and reliability: Serve as a senior escalation point for analytics issues, investigating metric discrepancies, broken dashboards, performance regressions, and recurring problems while improving SLAs, monitoring, and long-term stability - Cross-functional collaboration: Partner closely with the product, design, success, and support teams to translate requirements into analytics solutions and bring customer insight into roadmap and product decisions - Documentation, enablement, and continuous improvement: Strengthen team effectiveness through clear documentation, internal enablement, and a steady focus on maintainability, backward compatibility, and modern analytics engineering best practices Your know-how - You have 3+ years of experience owning data modelling and BI tooling as a data analyst, analytics engineer, BI engineer or data scientist - You are experienced with SQL, Python and modern data warehousing - You care deeply about clean and efficient models, tests and documentation and are experienced with dbt or a similar transformation framework - You have experience building views, dashboards and self-service data exploration with Looker or a similar BI tool - You have experience gathering requirements directly from customers and other internal and external stakeholders - You are comfortable owning the reliability of analytics systems in production and have experience investigating incidents, shipping fixes and designing solutions that proactively mitigate outages - You think in AI-first terms, actively adopt and integrate AI tools in your own workflow to accelerate your work - You are a pragmatic person with experience making tradeoffs between shipping a solution quickly and investing in more robust solves - You have an excellent command of English and are comfortable adapting your communication style for non-technical audiences - You have a contagious growth mindset and persistently seek opportunities to improve yourself, the team, products and processes in a scaling business It’s a bonus if - You have experience working on enterprise-grade software that handles sensitive data - You have previously served in a business that faces healthcare or other regulated industries - You have experience building or scaling a B2B or B2B2C venture - You have an acute interest in mental healthcare or health technology Interested in learning more? Please apply using the following form or send your resume or LinkedIn profile URL to talent@lutrapartners.com with “Analytics Engineer, Mental Healthcare” as the subject line. One of our talent partners will be in contact shortly.