Location: Vancouver, BC
The Asana Marketing team fuels business growth across revenue marketing, product marketing, brand, content, advertising, and lifecycle programs. We build campaigns, content, and experiences that drive impact at scale.
As our Senior Copywriter, you will be the definitive creative voice across Asana's Brand Creative team—shaping how the brand speaks across every channel, medium, and moment that matters.
This is a leaderful role as much as a writing role: you will define and steward our brand voice, set the standard for copy quality across the creative team, and bring language to life across campaigns, performance ads, sizzle reels, demo video scripts, and more. You will work at the intersection of strategy and craft—partnering closely with art directors, designers, producers, and cross-functional stakeholders—to translate briefs into work that is sharp, original, and unmistakably Asana. You will also be a teacher and force multiplier: codifying our voice in frameworks and guidelines others can apply, mentoring colleagues, and raising the bar for written communication across the Marketing organization.
You bring deep conviction and active curiosity to your work, including a genuine interest in how AI can augment the craft of writing. You know how to use these tools intelligently without sacrificing creative ownership, and you build workflows that help the team move faster without compromising quality or your own originality.
This role is based in our Vancouver, BC office with an office-centric hybrid schedule. Along with most Asanas, you’ll work from this office in person on Mondays, Tuesdays, and Thursdays. Most Asanas have the option to work from home on Wednesdays and Fridays. If you're interviewing for this role, your Talent Acquisition Partner will share more about the in-office requirements.
What you'll achieve
Define, steward, and evolve Asana's brand voice: building the guidelines, frameworks, and reference materials that make great writing scalable across Marketing surfaces
Serve as the hands-on writer and copy authority on campaigns, crafting language across formats, including: ads, landing pages, release communications, sizzle reels, demo video scripts, social content, and event materials
Lead copy on the highest-complexity, highest-visibility initiatives from brief through final delivery—managing feedback cycles, cross-functional input, and timelines along the way
Partner closely with art directors, designers, and producers to shape integrated creative, ensuring copy and design tell a coherent, compelling story together
Mentor and coach colleagues and cross-functional partners on what does and doesn't ring true to Asana's voice; develop resources and tools that make strong writing more accessible to the wider team
Drive alignment with senior stakeholders and cross-functional partners, presenting creative rationale confidently and leading feedback conversations with clarity and conviction
Connect language and copy decisions to business outcomes, advocating for creative choices in terms of audience, objective, and measurable impact
Identify and implement AI-powered writing workflows that increase speed, efficiency, and creative range, while maintaining authorial voice and original thinking
Manage vendors and contract copywriters as needed, ensuring quality and brand consistency
Give and receive direct, constructive feedback through critique, and contribute to a creative culture where high standards and generosity coexist
Manage multiple initiatives simultaneously with strong organizational judgment, moving projects reliably from brief to execution
About you
8+ years of professional copywriting experience, ideally in-house at a technology company or at an agency working on tech brands
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
A portfolio that demonstrates range across campaign copy, video scripts, digital advertising, and branded content—with a clear and distinctive point of view of B2B and B2C creative
Recognized expertise in brand voice: you've built and documented voice frameworks, and you can teach others to apply them with consistency and confidence
Proven ability to lead complex, cross-functional creative projects from brief to delivery with minimal oversight
Experience working alongside designers and cross-functional stakeholders in a deeply integrated creative process
Strong strategic instincts: you connect language choices to business objectives and can make the case for your creative decisions to senior and executive stakeholders
A fluent, confident communicator—verbally and in writing—who can drive alignment, present work persuasively, and model clear thinking for others
Demonstrated curiosity about AI tools and experience incorporating them into writing workflows to improve speed, efficiency, or creative range—without losing authorial ownership
High EQ and a growth mindset; you welcome feedback, generously share knowledge, and approach collaboration with a "yes, and" attitude
All submissions must include a link to a portfolio or writing samples
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we'll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between $132,000-150,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: New York City Office
Workplace: Hybrid
Allara https://www.allarahealth.com is a comprehensive women’s health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by thousands of women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes https://cdn.prod.website-files.com/637f55cdd2e0aa051d497c52/68e6aa0f8fcce5c60e922219_Outcomes%20Impact%20Report%202025%20Web%20Display.pdf. As one of the fastest-growing women’s health platforms in the U.S., Allara is bridging long-overlooked gaps in healthcare for women.
The Opportunity
Payer Operations is one of the most complex, highest-leverage functions in healthcare, and one of the most underestimated. Getting a payer contract signed is just the beginning. What actually drives revenue is everything that comes next: credentialing, enrollment, provider data integrity, compliance, and hundreds of moving pieces that determine whether a clinician can see patients and whether a claim gets paid.
As our Senior Manager of Credentialing and Payer Operations, you'll own that complexity and make it manageable for your team, for the payers we work with, and for the business. You don't need to have come up through credentialing. You do need to thrive on finding the structure underneath the chaos and building for scale.
This role sits at the intersection of operations, revenue, and technology. You'll design the playbooks, lead the team that runs them, and partner with Engineering and Product to automate what shouldn't be manual. You'll have a direct line to senior leadership and a seat at the table in conversations that drive national expansion.
Credentialing and Payer Operations touches everything, from network expansion to commercial contracting to revenue cycle. People who do this job well gain skills that could lead to growth in different parts of the org, from payer strategy and partnerships to broader operations leadership. If you want to understand how healthcare actually works and get paid to fix it, this is a strong launchpad for a career with a lot of room.
Location: Hybrid (NYC). We value in-person collaboration and aim for at least three days per week in our NYC office, with flexibility as needed.
Your Impact
1. Make the complex manageable. Take the tangle of payer requirements, enrollment rules, and credentialing standards and turn them into documented, repeatable processes your team can run without you in the room every time.
2. Lead and develop your team. Manage a mix of U.S.-based and international specialists. Set clear expectations, give direct feedback, develop people, and build a team culture where high standards are the norm, not the exception.
3. Build infrastructure that scales. Design the workflows, systems, and data architecture for provider data management, licensing, and credentialing. Build for where the company is going, not just where it is.
4. Use AI to punch above your weight. You'll bring genuine enthusiasm and real experience to using AI tools and automations, and you'll partner with Engineering and Product to scale what would otherwise take five more people.
5. Own vendor and key payer relationships on the ops side. Manage key vendor relationships, hold them to SLAs, and escalate when they slip. Make sure external dependencies don't become internal bottlenecks.
6. Be the bridge. Work cross-functionally with Growth, RCM, and Payer Strategy to surface root-cause problems and solve them permanently. Not just this claim, but the next thousand.
7. Codify everything. When you solve something, you write it down. Your goal is that the team can handle any situation because you built the playbook, not because you happened to be in the room.
Required Qualifications
We care more about how you think and operate than what's on your resume.
- 5+ years of operational experience in high-growth or high-complexity environments. Consulting, healthcare, or operations backgrounds all translate well.
- You make complex things simple. Not by cutting corners, but by finding the actual structure underneath the chaos and building systems that hold at scale.
- You build, not maintain. You see a manual, inconsistent process and can't help but fix it. And you know the difference between a quick patch and a real solution.
- You lead people well. You set clear expectations, give real feedback, and know when to delegate and when to dig in yourself.
- AI is already in your toolkit. You've actually used AI to solve operational problems, and you're curious, not just enthusiastic, about where else it can go.
- You're strong with data. You make decisions from dashboards, not intuition. You’re the type of person who always starts the morning knowing your numbers.
- You communicate across the org. You can move things forward without direct authority and translate operational complexity into language that makes sense to Engineering, Finance, and the C-suite.
- You're comfortable with ambiguity. You make progress without perfect information and improve the picture as you go.
Preferred Qualifications
- Background in consulting or rapid change management
- Experience in telehealth, multi-state provider networks, or direct payer engagement
- Hands-on experience with payer portals (Availity, plan-specific portals)
- Familiarity with commercial payer requirements; Medicare and Medicaid exposure a plus
- Exposure to credentialing standards (NCQA, CMS)
What Allara Offers
- Compensation & Career Growth
- $115,000 - $120,000 with opportunities for advancement
- Equity
- Professional development & employee learning programs
Actual compensation will be determined based on a variety of factors, including but not limited to: candidate experience, location, education, certifications, and skill set. In addition to base salary, our total compensation package includes equity, comprehensive health benefits (medical, dental, vision), generous paid time off, and additional wellness and professional development perks.
- Work Environment & Flexibility
- 3-day hybrid in NYC
- Unlimited PTO & 11 company holidays
- Health & WellnessFully
- Medical, dental, and vision benefits
- Health Savings Account (HSA) & Flexible Spending Account (FSA)
- Long- and short-term disability coverage
- Annual employee wellness stipend
- Family & Future Planning
- 401(k) plan
- Parental leave & family planning support benefits
- Additional Perks
- Company-issued laptop
- Annual work-from-home stipend
- Commuter benefits (if applicable)
- A collaborative, mission-driven culture focused on improving patient care
At Allara https://www.allarahealth.com/, we believe in celebrating everything that makes us human and are proud to be an equal-opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. We’re an Equal Opportunity Employer and do not discriminate against candidates or patients based on race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.
Location: Bethesda, MD
Position Summary:
Seeking a driven and motivated engineer to join our sales team focusing on growing business with existing customers and developing new business. This position will involve applications engineering and inside sales support. Sales Engineers should be comfortable working in a result-driven, fast-paced environment.
Position will involve extensive formalized training plus work under a mentor, developing skills and gaining an understanding of CaptiveAire products, how we go to market, application engineering processes etc. as well as business development and sales strategies.
Why Work for
CaptiveAire
?
N
ation’s leading manufacturer of commercial kitchen ventilation systems, and
now offering
a complete solution of fans, heaters,
ductwork
and HVAC equipment. Our primary
purpose is to provide fully integrated, sustainable HVAC Systems.
Leader in
the industry
for over 40 years
with innovative technologies, unmatched service, competitive pricing, and rapid lead times.
Mission:
to provide the highest quality products and service to our users at the lowest possible pric
e
Strong commitment to the development of our employees, including continuous education opportunities like sponsorship for
P
rofessional
E
ngineering license and
continuous education
through
weekly webinars
and company developed
technical
videos
What our employees have to say:
There is
never
a day you
don’t
learn something new a
t
CaptiveAi
re
.
I am able to learn something new due to the freedom to take on new tasks independently and problem solv
e.
I love the mindset of continuous learning and pushing the bounds of your capabilities
and knowledge. I love the people I work with and the in-office work environment. I love how
Captiveaire
is all about connections, with customers, coworkers, end users, and everyone in between.
One of the things I appreciate most about
CaptiveAire
is how strongly it embodies the entrepreneurial spirit.
I’m
empowered with the autonomy to manage my work independently, while also
benefiting
from the robust support and resources of a large, well-established company
.
CaptiveAire
is fast-moving
and no-
nonsense. We
operate
differently
than any other company that
I've
worked for with our decentralized structure. Quick action is taken when
a good idea
is presented. We are focused on end users where the rest of the industry is very short-sighted.
We are on the front lines, actively changing the landscape of the HVAC industry.
Learn more about
CaptiveAire
and our products
here
A Day in the Life:
A technical sales role encompasses a wide variety of tasks where one day does not look exactly like the next. The projects
our team
handle
s
are high in volume and unique from one another, spanning throughout the whole course of design, procurement, coordination, and post-sale support.
Typical tasks include:
Building of relationships with existing and new customers
Application engineering to apply our products using sound engineering principles
Project management of installations in progress
-
M
anaging schedules/plans to guarantee we can get equipment on site when the site needs it, in turn creating satisfied and returning customers.
Service and technical support of existing equipment
Supporting end users to
maintain
high levels
of customer service, from
assisting
contractors with wiring on site to remote troubleshooting for staff in the kitchen.
Comments
from some of ou
r sales engineers:
Every day I get to help someone. Whether
it's
an engineer with a design, a contractor with a troubleshooting issue, or an end user looking for help to obtain better indoor air quality. I get to use my engineering skills, people
skills
and business skills every day.
Our main "role" is not to sell products but to provide solutions - kitchen ventilation solutions, commercial ventilation solutions, heating/air conditioning solutions. I enjoy getting to work directly with end users and helping them complete their business goals. Attending a soft opening after completing a full design-build project with an owner is rewarding.
I love the balance between working on designs in the office and also having that face to face interaction with our customers. It's awesome to handle the design phase of a project, then also take charge of the procurement process with the end user/customer and lastly watch our equipment perform as designed once installed and the project is complete. I also love the growth aspect of my role, I enjoy molding and shaping our business in order to set it up for success and then see the value we are adding to the market.
Primary Job Responsibilities:
Provide integrated application engineering and design support for a wide range of ventilation applications with the goal of providing sustainable products and the latest technologies best designed to meet the customers’ needs.
Work directly with Engineers, Contractors, End Users, and Food Service Dealers.
Daily tasks include inside sales support and application engineering.
Responsibilities will vary and may include presentations, quotes, submittals, technical product support, etc.
Educate and promote CaptiveAire products to users in your market. This includes conference calls, meetings, organizing presentations, and product demos.
Research and develop new business opportunities with new and existing users.
Top notch customer service and willingness to go above and beyond to serve the customer.
Quick turnaround times a priority.
Continuously evaluate and improve processes as well as the customer experience.
Required skills:
0-5 years experience
4 year technical degree in a mechanical, electrical, construction or science-oriented curriculum preferred
Excellent computer, organizational and communication/presentation skills
Problem solving with a passion for continuous learning
Strong desire to interface with the customer
Embrace new technologies and business savvy
Passion for work with aggressive nature to succeed
Willing to travel for various training opportunities
If not already completed, expectation of FE Exam completion in area of study for engineering graduates within 6 months of employment with CaptiveAire
MUST BE A “GO GETTER”!
Benefits:
Medical, dental and vision insurance
Disability & life insurance based upon election of medical insurance
401k with employer match
Paid holidays
Paid time off (PTO) based upon tenure
Flexible spending account (FSA)
Tuition reimbursement, including for Professional Engineering (PE) License
Relocation assistance
Salary:
$65-$90K base, negotiable dependent on experience, with additional monthly bonus based on productivity and profits.
Captive-Aire Systems, Inc. is proud to be an equal opportunity workplace. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
To qualify, applicants must be legally authorized to work in the United States. At this time, we are not able to consider applicants that require sponsorship, now or in the future, for employment visa status.
#LI- TL1
#P1
Location: Gahanna, OH
Position Summary:
Seeking a driven and motivated engineer to join our sales team focusing on growing business with existing customers and developing new business. This position will involve applications engineering and inside sales support. Sales Engineers should be comfortable working in a result-driven, fast-paced environment.
Position will involve extensive formalized training plus work under a mentor, developing skills and gaining an understanding of CaptiveAire products, how we go to market, application engineering processes etc. as well as business development and sales strategies.
Why Work for
CaptiveAire
?
N
ation’s leading manufacturer of commercial kitchen ventilation systems, and
now offering
a complete solution of fans, heaters,
ductwork
and HVAC equipment. Our primary
purpose is to provide fully integrated, sustainable HVAC Systems.
Leader in
the industry
for over 40 years
with innovative technologies, unmatched service, competitive pricing, and rapid lead times.
Mission:
to provide the highest quality products and service to our users at the lowest possible pric
e
Strong commitment to the development of our employees, including continuous education opportunities like sponsorship for
P
rofessional
E
ngineering license and
continuous education
through
weekly webinars
and company developed
technical
videos
What our employees have to say:
There is
never
a day you
don’t
learn something new a
t
CaptiveAi
re
.
I am able to learn something new due to the freedom to take on new tasks independently and problem solv
e.
I love the mindset of continuous learning and pushing the bounds of your capabilities
and knowledge. I love the people I work with and the in-office work environment. I love how
Captiveaire
is all about connections, with customers, coworkers, end users, and everyone in between.
One of the things I appreciate most about
CaptiveAire
is how strongly it embodies the entrepreneurial spirit.
I’m
empowered with the autonomy to manage my work independently, while also
benefiting
from the robust support and resources of a large, well-established company
.
CaptiveAire
is fast-moving
and no-
nonsense. We
operate
differently
than any other company that
I've
worked for with our decentralized structure. Quick action is taken when
a good idea
is presented. We are focused on end users where the rest of the industry is very short-sighted.
We are on the front lines, actively changing the landscape of the HVAC industry.
Learn more about
CaptiveAire
and our products
here
A Day in the Life:
A technical sales role encompasses a wide variety of tasks where one day does not look exactly like the next. The projects
our team
handle
s
are high in volume and unique from one another, spanning throughout the whole course of design, procurement, coordination, and post-sale support.
Typical tasks include:
Building of relationships with existing and new customers
Application engineering to apply our products using sound engineering principles
Project management of installations in progress
-
M
anaging schedules/plans to guarantee we can get equipment on site when the site needs it, in turn creating satisfied and returning customers.
Service and technical support of existing equipment
Supporting end users to
maintain
high levels
of customer service, from
assisting
contractors with wiring on site to remote troubleshooting for staff in the kitchen.
Comments
from some of ou
r sales engineers:
Every day I get to help someone. Whether
it's
an engineer with a design, a contractor with a troubleshooting issue, or an end user looking for help to obtain better indoor air quality. I get to use my engineering skills, people
skills
and business skills every day.
Our main "role" is not to sell products but to provide solutions - kitchen ventilation solutions, commercial ventilation solutions, heating/air conditioning solutions. I enjoy getting to work directly with end users and helping them complete their business goals. Attending a soft opening after completing a full design-build project with an owner is rewarding.
I love the balance between working on designs in the office and also having that face to face interaction with our customers. It's awesome to handle the design phase of a project, then also take charge of the procurement process with the end user/customer and lastly watch our equipment perform as designed once installed and the project is complete. I also love the growth aspect of my role, I enjoy molding and shaping our business in order to set it up for success and then see the value we are adding to the market.
Primary Job Responsibilities:
Provide integrated application engineering and design support for a wide range of ventilation applications with the goal of providing sustainable products and the latest technologies best designed to meet the customers’ needs.
Work directly with Engineers, Contractors, End Users, and Food Service Dealers.
Daily tasks include inside sales support and application engineering.
Responsibilities will vary and may include presentations, quotes, submittals, technical product support, etc.
Educate and promote CaptiveAire products to users in your market. This includes conference calls, meetings, organizing presentations, and product demos.
Research and develop new business opportunities with new and existing users.
Top notch customer service and willingness to go above and beyond to serve the customer.
Quick turnaround times a priority.
Continuously evaluate and improve processes as well as the customer experience.
Required skills:
0-5 years experience
4 year technical degree in a mechanical, electrical, construction or science-oriented curriculum preferred
Excellent computer, organizational and communication/presentation skills
Problem solving with a passion for continuous learning
Strong desire to interface with the customer
Embrace new technologies and business savvy
Passion for work with aggressive nature to succeed
Willing to travel for various training opportunities
If not already completed, expectation of FE Exam completion in area of study for engineering graduates within 6 months of employment with CaptiveAire
MUST BE A “GO GETTER”!
Benefits:
Medical, dental and vision insurance
Disability & life insurance based upon election of medical insurance
401k with employer match
Paid holidays
Paid time off (PTO) based upon tenure
Flexible spending account (FSA)
Tuition reimbursement, including for Professional Engineering (PE) License
Relocation assistance
Salary:
$65-$90K base, negotiable dependent on experience, with additional monthly bonus based on productivity and profits.
Captive-Aire Systems, Inc. is proud to be an equal opportunity workplace. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
To qualify, applicants must be legally authorized to work in the United States. At this time, we are not able to consider applicants that require sponsorship, now or in the future, for employment visa status.
#LI- TL1
#P1
Location: New York, NY
Workplace: Hybrid
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE ROLE
Compliance is an intentional product surface at Rain. Every card we issue, every wallet we open, and every dollar that moves across our rails depends on controls that are correct, auditable, and fast enough not to be felt. We are hiring a Senior Product Manager to own that surface end to end.
You will own the compliance product area across four connected domains: financial crime (KYC/KYB, sanctions, transaction monitoring), licensing and regulatory readiness, card network and issuing-bank obligations, and the compliance tooling our enterprise partners use to run their own programs. As Rain continues to expand its product suite, you will ensure our compliance product serves our customers’ needs with these new products as well.
You will work daily with Compliance, Legal, Risk, Engineering, and Partnerships, and you will be in the room with bank partners, network representatives, and our largest customers' compliance teams. This is an individual contributor role with real scope to grow.
WHAT YOU'LL DO
• Own the KYC and KYB onboarding experience for consumers and businesses in every market we operate in, tracking and optimizing metrics such as conversion, accuracy, and cost per verified user are all yours.
• Build and tune sanctions screening, PEP and adverse media checks, and transaction monitoring, including blockchain analytics for wallet screening and source-of-funds signals.
• Drive down false positives and analyst review time without weakening detection, and define the metrics that prove it.
• Ship the case management, escalation, and SAR/STR workflows our compliance analysts live in every day.
• Translate obligations - state money transmission licensing, EMI and MiCA in the EU, VASP regimes, stablecoin-issuer requirements, Travel Rule, and local equivalents - into requirements engineers can build against.
• Partner with Legal and Compliance to make new-market launches a repeatable motion instead of a one-off scramble: jurisdictional configuration, disclosures, data residency, and reporting.
• Run regulatory change management as a product process, so a rule change becomes a tracked roadmap item rather than a fire drill.
• Own conformance with Visa and Mastercard rules across the programs we run and sponsor - BIN controls, MCC and merchant restrictions, program registration, and network reporting.
• Build the controls, evidence, and attestation tooling our issuing banks and BIN sponsors require, and make audits boring.
• Partner with Risk on disputes, chargebacks, fraud rules, and authorization-time controls where compliance and fraud overlap.
• Turn internal compliance capability into products our partners can use: APIs, dashboards, configurable rule sets, audit logs, and reporting they can hand to their own regulators.
• Serve as the product voice in partner compliance diligence, security reviews, and bank onboarding - and feed what you learn there back into the roadmap.
• Define how much control a partner gets and where Rain holds the line, clearly enough that sales can sell it and engineers can build it.
• Write the strategy and roadmap for compliance product, and defend the sequencing to the exec team.
• Specify precisely. In this domain, an ambiguous requirement is a regulatory finding waiting to happen.
• Instrument everything - pass rates, decision latency, alert volume, review throughput, escalation outcomes - and use it to make the case for what comes next.
You’ll likely succeed if you have
• 8+ years in product management, including at least three years owning compliance, risk, identity, or payments products in a regulated environment.
• Working fluency in AML/CFT: you can hold your own on KYC and KYB standards, sanctions screening logic, monitoring typologies, and SAR workflows without needing a translator.
• Direct experience with card issuing, payments infrastructure, or banking-as-a-service - you understand what an issuing bank, a BIN sponsor, and a network each expect from a program.
• A track record of shipping systems where correctness matters more than a fast demo, and the technical depth to design data models and APIs with engineers rather than around them.
• Comfort with genuine ambiguity. The regulatory picture for stablecoins is still being written, and you will often decide with incomplete information.
• Clear, precise writing. Most of your leverage here comes from documents other people can act on.
Bonus Attributes
• Experience with stablecoins, digital assets, or onchain settlement, including blockchain analytics tools.
• Multi-jurisdiction launch experience across LATAM, APAC, EU, or EMEA.
• Time spent inside a compliance, financial crime, or regulatory function — or a hands-on partnership with one.
• Familiarity with SOC 2, PCI DSS, or similar control and audit frameworks.
THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: Tampa, FL
Position Summary:
Seeking a driven and motivated engineer to join our sales team focusing on growing business with existing customers and developing new business. This position will involve applications engineering and inside sales support. Sales Engineers should be comfortable working in a result-driven, fast-paced environment.
Position will involve extensive formalized training plus work under a mentor, developing skills and gaining an understanding of CaptiveAire products, how we go to market, application engineering processes etc. as well as business development and sales strategies.
Why Work for
CaptiveAire
?
N
ation’s leading manufacturer of commercial kitchen ventilation systems, and
now offering
a complete solution of fans, heaters,
ductwork
and HVAC equipment. Our primary
purpose is to provide fully integrated, sustainable HVAC Systems.
Leader in
the industry
for over 40 years
with innovative technologies, unmatched service, competitive pricing, and rapid lead times.
Mission:
to provide the highest quality products and service to our users at the lowest possible pric
e
Strong commitment to the development of our employees, including continuous education opportunities like sponsorship for
P
rofessional
E
ngineering license and
continuous education
through
weekly webinars
and company developed
technical
videos
What our employees have to say:
There is
never
a day you
don’t
learn something new a
t
CaptiveAi
re
.
I am able to learn something new due to the freedom to take on new tasks independently and problem solv
e.
I love the mindset of continuous learning and pushing the bounds of your capabilities
and knowledge. I love the people I work with and the in-office work environment. I love how
Captiveaire
is all about connections, with customers, coworkers, end users, and everyone in between.
One of the things I appreciate most about
CaptiveAire
is how strongly it embodies the entrepreneurial spirit.
I’m
empowered with the autonomy to manage my work independently, while also
benefiting
from the robust support and resources of a large, well-established company
.
CaptiveAire
is fast-moving
and no-
nonsense. We
operate
differently
than any other company that
I've
worked for with our decentralized structure. Quick action is taken when
a good idea
is presented. We are focused on end users where the rest of the industry is very short-sighted.
We are on the front lines, actively changing the landscape of the HVAC industry.
Learn more about
CaptiveAire
and our products
here
A Day in the Life:
A technical sales role encompasses a wide variety of tasks where one day does not look exactly like the next. The projects
our team
handle
s
are high in volume and unique from one another, spanning throughout the whole course of design, procurement, coordination, and post-sale support.
Typical tasks include:
Building of relationships with existing and new customers
Application engineering to apply our products using sound engineering principles
Project management of installations in progress
-
M
anaging schedules/plans to guarantee we can get equipment on site when the site needs it, in turn creating satisfied and returning customers.
Service and technical support of existing equipment
Supporting end users to
maintain
high levels
of customer service, from
assisting
contractors with wiring on site to remote troubleshooting for staff in the kitchen.
Comments
from some of ou
r sales engineers:
Every day I get to help someone. Whether
it's
an engineer with a design, a contractor with a troubleshooting issue, or an end user looking for help to obtain better indoor air quality. I get to use my engineering skills, people
skills
and business skills every day.
Our main "role" is not to sell products but to provide solutions - kitchen ventilation solutions, commercial ventilation solutions, heating/air conditioning solutions. I enjoy getting to work directly with end users and helping them complete their business goals. Attending a soft opening after completing a full design-build project with an owner is rewarding.
I love the balance between working on designs in the office and also having that face to face interaction with our customers. It's awesome to handle the design phase of a project, then also take charge of the procurement process with the end user/customer and lastly watch our equipment perform as designed once installed and the project is complete. I also love the growth aspect of my role, I enjoy molding and shaping our business in order to set it up for success and then see the value we are adding to the market.
Primary Job Responsibilities:
Provide integrated application engineering and design support for a wide range of ventilation applications with the goal of providing sustainable products and the latest technologies best designed to meet the customers’ needs.
Work directly with Engineers, Contractors, End Users, and Food Service Dealers.
Daily tasks include inside sales support and application engineering.
Responsibilities will vary and may include presentations, quotes, submittals, technical product support, etc.
Educate and promote CaptiveAire products to users in your market. This includes conference calls, meetings, organizing presentations, and product demos.
Research and develop new business opportunities with new and existing users.
Top notch customer service and willingness to go above and beyond to serve the customer.
Quick turnaround times a priority.
Continuously evaluate and improve processes as well as the customer experience.
Required skills:
0-5 years experience
4 year technical degree in a mechanical, electrical, construction or science-oriented curriculum preferred
Excellent computer, organizational and communication/presentation skills
Problem solving with a passion for continuous learning
Strong desire to interface with the customer
Embrace new technologies and business savvy
Passion for work with aggressive nature to succeed
Willing to travel for various training opportunities
If not already completed, expectation of FE Exam completion in area of study for engineering graduates within 6 months of employment with CaptiveAire
MUST BE A “GO GETTER”!
Benefits:
Medical, dental and vision insurance
Disability & life insurance based upon election of medical insurance
401k with employer match
Paid holidays
Paid time off (PTO) based upon tenure
Flexible spending account (FSA)
Tuition reimbursement, including for Professional Engineering (PE) License
Relocation assistance
Salary:
$65-$90K base, negotiable dependent on experience, with additional monthly bonus based on productivity and profits.
Captive-Aire Systems, Inc. is proud to be an equal opportunity workplace. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
To qualify, applicants must be legally authorized to work in the United States. At this time, we are not able to consider applicants that require sponsorship, now or in the future, for employment visa status.
#LI- TL1
#P1
Location: Remote - United States
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
Video is where multimodal models are weakest and hardest to grade. Temporal reasoning, long-form understanding, grounding events in time, and holding audio, video, and text together do not fall out of image benchmarks — and the evaluations for them are still immature. Closing that gap is gated as much by how we design data and evaluation as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing video and multimodal models, and we are hiring a Research Scientist to own the science behind it.
You will partner directly with the customers and frontier labs building video understanding, video-language, and video-generation models, as interested in the data behind them as in the models themselves. Video spans two model families judged in completely different ways: models that understand video — answering questions, localizing events, grounding language in time — where the question is whether the answer is correct; and models that generate it, where fidelity, temporal coherence, and physical plausibility matter and no automatic metric is settled. You own the evaluation science for both, and knowing when model-based scoring can stand in for a human versus when it can't. Your conclusions shape what our partners measure and collect next.
What You’ll Own:
You will define how Innodata designs, structures, and evaluates video data for video and multimodal models, and you will validate those choices experimentally. Concretely, you will:
Translate the requirements of video and multimodal models — video understanding, temporal and event localization, action recognition, long-form video, video-language models, video generation, cross-modal reasoning, and multimodal retrieval and grounding — into concrete data specifications: modalities, annotation schemas, sampling, and evaluation criteria.
Build evaluation methodology for video understanding — temporal grounding accuracy, long-context and long-horizon reasoning, and dynamic multi-turn, cross-modal, and retrieval-and-grounding evaluation — clear about when model-based scoring is trustworthy and when a human is needed.
Build evaluation methodology for video generation — fidelity, temporal coherence, and physical plausibility, including generative video used as a world model — the regime where automatic metrics are weakest and human judgment matters most.
Decide how existing and incoming video should be structured, enriched, and sampled to extract the most model value from it, including from messy, domain-specific footage.
Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement.
Design adversarial and stumping evaluations that surface where video and multimodal systems fail, and turn those failures into better data.
Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with.
Work with annotation teams, subject-matter experts, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans.
You’ll Thrive in This Role If You Have:
Roughly 5+ years of hands-on industry experience in video understanding or multimodal ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end.
A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred.
Trained and evaluated video or multimodal models yourself, with strong PyTorch fundamentals.
Fluency in the formats and tooling video work runs on: ffmpeg and decord pipelines, temporal and COCO-style annotation, WebDataset, Parquet and Arrow, and HuggingFace datasets.
Experience fine-tuning large video or vision-language models with the modern toolchain (HuggingFace transformers, PEFT, efficient inference), and with long-form video, streaming, temporal segmentation, or synthetic video generation.
A way of thinking in datasets and benchmarks: you have built evaluation sets, calibrated difficulty, and argued about what makes video data good for a given objective.
A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR.
The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation.
Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — safety and robustness testing for video and multimodal systems.
The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote - United States
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
Where models actually differ now is robustness across accents, noise, and code-switching; speaker diarization; the naturalness of generated speech; and latency under streaming. Measuring those honestly, and building the data that trains for them, is gated as much by data and evaluation design as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing speech and audio models, and we are hiring a Research Scientist to own the science behind it.
You will partner directly with the customers and frontier labs building ASR, text-to-speech, speech-to-speech and conversational voice, diarization, and audio-language models, as interested in the data behind them as in the models themselves. Your work is judgment: which conditions and languages a benchmark must cover to be honest, what a transcription convention should be for a given objective, and when an automated metric can be trusted versus when a human ear is required. You will also partner closely with our transcription and linguistics lead, whose standards directly shape what the models learn.
What You’ll Own:
You will define how Innodata designs, structures, and evaluates audio data for speech and audio models, and you will validate those choices experimentally. Concretely, you will:
Translate the requirements of speech and audio models — ASR, text-to-speech and speech generation, speech-to-speech and conversational voice, speaker diarization and verification, audio-language models, and streaming systems — into concrete data specifications: modalities, transcription and annotation schemas, sampling, and evaluation criteria.
Build evaluation methodology that goes past word error rate — semantic accuracy, robustness to noise and accent, code-switching, diarization error rate (DER), naturalness and intelligibility of generated speech, and streaming latency — and know when automated metrics hold and when they don't.
Decide how existing and incoming audio should be structured, enriched, and sampled for coverage that fits the model objective — across languages, accents, and acoustic conditions (studio, real-world, telephonic), speaker demographics, emotional and paralinguistic range, scripted versus spontaneous speech, and single- versus multi-speaker settings, including low-resource and code-switched speech.
Partner with the transcription and linguistics lead to turn model objectives into transcription specifications, and to quantify how transcription conventions and quality move ASR and speech-model results.
Partner with the audio solutions and engineering team so the audio we collect is built for the model objective: you specify what good data and evaluation require, and they scope programs with customers and capture audio to spec.
Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement.
Design adversarial and stumping evaluations — noisy, accented, and adversarial audio — that surface where speech systems fail, and turn those failures into better data.
Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with.
Work with annotation teams, subject-matter experts, and the synthetic- and augmented-audio pipeline to turn specifications into operational plans.
You’ll Thrive in This Role If You Have:
Roughly 5+ years of hands-on industry experience in speech or audio ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end.
A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred.
Trained and evaluated speech or audio models yourself — ASR, TTS, speech-to-speech, speaker, or audio-language models — with strong PyTorch fundamentals.
Fluency in the toolchains and metrics speech work runs on: ESPnet, NeMo, SpeechBrain, or Kaldi, HuggingFace, forced alignment, and WER/CER and the metrics that go beyond them.
Hands-on experience with multilingual, accented, dialectal, low-resource, or code-switched speech, and with synthetic or augmented audio (TTS pipelines, noise and room-response simulation).
A way of thinking in datasets: you have built evaluation sets, reasoned about coverage across conditions, and argued about what makes speech data good for a given objective.
A track record the field recognizes: first-author publications or strong open-source contributions at venues such as Interspeech, ICASSP, ASRU, SLT, or NeurIPS.
The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation.
Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — for example spoofing and voice-cloning robustness, or bias across accents and languages.
The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote - United States
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
Progress in physical AI is gated as much by data design as by model architecture. The best manipulation and locomotion policies, vision-language-action models, and world models are only as good as the trajectories, demonstrations, and environments they learn from — so the highest-leverage decisions are made long before a model trains: what to capture, what to synthesize, how to represent an action, and how to know whether any of it will transfer to a real robot. Innodata is building the data and evaluation practice behind the next generation of robotics foundation models, in direct partnership with the customers and frontier labs defining that frontier. We are hiring a Research Scientist to own the science of that data.
You will partner directly with the customers and frontier labs building robot foundation models, as interested in the data those models learn from as in the models themselves. Your leverage is scientific judgment about data: deciding what is worth capturing in the real world versus generating in simulation, how to weight a training mix across embodiments and sensors, and how to measure whether a policy will hold up outside the lab. Your conclusions will shape what our partners collect next.
What You’ll Own:
You will define how Innodata designs, structures, and evaluates data for robot foundation models, and you will validate those choices experimentally. Concretely, you will:
Translate the requirements of robotics foundation models — vision-language-action models, world models, and manipulation and locomotion policies — into concrete data specifications: modalities, action representations (tokenization, chunking, diffusion and flow-matching action experts), sampling, annotation schemas, and evaluation criteria.
Decide what is worth capturing in the real world versus generating in simulation, and curate and weight training mixes across heterogeneous robot datasets that span different embodiments, action spaces, and sensor setups.
Guide collection across capture modalities — motion capture, egocentric, exocentric, teleoperation, and multi-sensor — and across synthetic pipelines, so that what we produce maps cleanly to model needs rather than accumulating for its own sake.
Build evaluation and benchmarking methodology that predicts real-world transfer — coverage, discriminative power, reliability, and sim-to-real fidelity — including world-model evaluation (rollout quality and action-conditioned prediction) and the domain-randomization and system-identification choices that close the sim-to-real gap.
Run the experiments that prove it: fine-tune and evaluate foundation models on Innodata data, with data-quality ablations and scaling studies that demonstrate specific data decisions produce measurable model improvement.
Design adversarial and long-horizon evaluations that surface where policies and world models break, and turn those failure modes into better data.
Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with.
Collaborate with the capture lab, annotation teams, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans.
You’ll Thrive in This Role If You Have:
Roughly 4+ years of hands-on industry experience in robot learning or robotics ML. We weight practical experience over formal credentials; because the field is young, a PhD with a compelling, current research agenda can offset the lower end, and we will also consider very senior candidates with the right background.
A Bachelor's degree in computer science, electrical engineering, robotics, or a related technical field is required; an advanced degree (MS or PhD) in a relevant field is preferred.
Trained and evaluated robot policies yourself — manipulation or locomotion via imitation learning or reinforcement learning — with strong PyTorch fundamentals. You build and measure models, you don't just call them.
A way of thinking in datasets: you have curated, filtered, and weighted robot data across embodiments and sensors, and you have real opinions about what makes it good for a given objective.
Fluency in robotics data formats and standards — the LeRobot dataset format, RLDS, and Open X-Embodiment — along with common motion and sensor formats.
Hands-on experience with simulation and synthetic data — NVIDIA Isaac Sim, Isaac Lab, and Omniverse, or MuJoCo and comparable engines — including domain randomization, system identification, and sim-to-real transfer.
Experience with teleoperation or egocentric data collection, and comfort adapting VLM backbones for control and fine-tuning large VLA models with the modern toolchain (HuggingFace transformers, PEFT).
A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CoRL, ICRA, IROS, RSS, or NeurIPS.
The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation.
Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming for embodied systems, for example safety and robustness testing.
The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote - United States
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
As speech and audio models get better, the human role gets harder, not easier — it moves from producing transcripts to defining what a correct one is, adjudicating the cases models still get wrong, and designing the human-in-the-loop workflows that keep improving them. Innodata runs high-volume segmentation and transcription workflows for the customers and frontier labs building these models, and we are hiring a principal-level linguist to own the linguistic standards and quality behind that work — today, and as the workflows evolve alongside the models over the next two years.
This is the applied-expert counterpart to our Speech & Audio Research Scientist. You set the standards the models are trained and measured against, and you understand the big picture: how different transcription and segmentation methods change what a model learns, and how that ripples into the speech and content-understanding systems our partners are building. You know the research and you know the tools — from IPA and acoustic analysis to forced alignment and the ASR engines our partners benchmark against — but your leverage is linguistic judgment and standard-setting at scale, not building models yourself.
What You’ll Own:
You will own the linguistic foundation of Innodata's segmentation and transcription work across languages, domains, and use cases. Concretely, you will:
Define transcription and segmentation standards, style guides, and annotation conventions — verbatim and clean/intelligent verbatim, IPA and phonetic transcription, timestamping and boundary segmentation, speaker labeling and diarization labels, disfluencies and non-speech events, code-switching, and orthographic conventions.
Establish and run the quality frameworks behind that work: rubrics, error taxonomies, adjudication processes, inter-annotator agreement, and human QA at scale.
Own the quality lifecycle for transcription and segmentation deliverables end to end — pre-processing and normalization of incoming data, quality checks at the point of acceptance, post-processing and pre-delivery validation against spec, and report creation and packaging for delivery — partnering with delivery operations on execution at scale.
Design the human-in-the-loop workflows themselves — deciding where human review, correction, and adjudication add the most value as ASR quality rises, so our experts spend their time on what the models still can't do rather than on what they already can.
Handle the linguistically hard cases models fail on — accented and dialectal speech, low-resource and multilingual audio, overlapping speech, domain jargon (medical, legal, technical), and noisy acoustic conditions.
Partner with the Speech & Audio Research Scientist to turn model objectives into transcription and segmentation specifications, and to work out how different transcription methods — verbatim versus clean, phonetic versus orthographic, and how audio is segmented and labeled — affect the training and evaluation of ASR, TTS, and speech and content-understanding models.
Train, calibrate, and mentor expert transcribers and reviewers, and build the onboarding and calibration that keep quality consistent as the work scales.
Represent Innodata's transcription and segmentation approach to the customers and frontier labs we partner with, and contribute to the methodology and best-practice documentation that make our work legible to their teams.
You’ll Thrive in This Role If You Have:
Substantial industry experience (typically 8+ years) in transcription, segmentation, and speech-data quality — enough that you have authored standards, not only followed them. This is a principal-level role, and we weight practical depth heavily.
A Bachelor's degree in linguistics, phonetics, or computational linguistics, or a closely related field, is required — with a strong foundation in phonetics, phonology, and sociolinguistics so that IPA, prosody, disfluency, dialect, and register are native concepts. An advanced degree is preferred.
A big-picture grasp of how transcription and segmentation choices flow downstream into modeling — how different methods change what speech and content-understanding models learn, and therefore which method fits which modeling objective. You can explain to a model builder why a transcription decision matters.
Fluency in phonetic transcription and IPA, plus hands-on experience with acoustic and phonetic analysis of speech — spectrograms, formants, pitch and prosody, and segment boundaries — applied to real, messy speech data at scale (for example in Praat).
Deep experience with audio segmentation and its conventions — utterance and turn boundaries, timestamping, and speaker and diarization labeling — across real-world audio.
Hands-on fluency with the modern speech stack: Whisper and the commercial ASR engines your partners benchmark against (such as AssemblyAI, Deepgram, Rev, and Speechmatics), forced alignment (for example the Montreal Forced Aligner), and annotation tools such as ELAN.
Comfort scripting for speech-data work — Python for batch processing, QA, and metrics such as inter-annotator agreement and WER, plus regular expressions and Praat scripting — enough to work fluently with data and pipelines without needing an engineer for every task.
Practical data-management skills across the delivery lifecycle — pre-processing, acceptance-stage quality checks, post-processing, pre-delivery validation, and report creation and packaging — so deliverables leave the door correct, consistent, and well documented.
Multilingual capability and hands-on experience with accented, dialectal, and code-switched speech; low-resource languages a strong plus.
A point of view on how human-in-the-loop workflows should evolve as models improve — where humans stay in the loop, where they move up to adjudication and standard-setting, and how to measure the difference.
Strong written and verbal communication, comfortable working directly with research scientists and interfacing with the customers and frontier labs we partner with.
Bonus: responsible-AI considerations for speech, such as bias across accents and dialects and privacy and consent in voice data.
The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Los Angeles, USA
Technical Product Managers combine deep technical knowledge and experience with product leadership capabilities which are needed to enable Riot Games to deliver key products and experiences to make it better to be a player. You will develop and execute strategies on Riot's products and technologies while leading diverse teams to deliver creative solutions to our most difficult technical and experiential challenges.
As a
Principal Technical Product Manager
for VALORANT Foundations, reporting to the Director of Technical Product Management for VALORANT, you’ll identify and lead the highest-impact opportunities across the platforms that make the game predictable to build, release and operate worldwide. Foundations serves VALORANT’s engineers, artists and designers through build and release pipelines, developer tools and workflows, engine capabilities and core backend services. Working with engineering leads, game teams and central technology partners, you’ll bring independent product judgment to ambiguous problems, build support for a clear direction, and lead delivery across teams without direct authority. Your success will be measured in faster development workflows, more predictable releases, and platforms that let VALORANT grow sustainably.
Responsibilities:
Define and align product strategy for critical, cross-cutting platform areas, prioritizing outcomes that create measurable value for developers and players
Bring strategic structure and clarity to Foundations' hardest, most ambiguous initiatives so they're set up for long-term success
Lead cross-functional teams through influence, bridging engineering reality and product requirements, and driving decisions to closure across the groups that own build and release pipelines, the developer inner loop and editor, engine capabilities, and core backend services, all without direct authority
Serve as a strategic proxy for Foundations leadership, stepping in with autonomy to own high-stakes opportunities end to end
Partner deeply with engineering leads to ensure platform solutions are robust, scalable, and seamlessly integrated into developer workflows
Broker across the seam with central tech team partners, representing VALORANT's needs into shared platforms and negotiating what's owned where
Translate empathy for internal developers into infrastructure and tooling that solves genuine pain points; champion data-informed decisions
Champion AI-augmented ways of working: bring agentic tooling into the PM craft to compress cycle time and model what modern product management looks like for Foundations
Required Qualifications:
8+ years of relevant experience in Technical Product Management or a related engineering/technical field
Familiarity with the game development lifecycle: engines, art/build toolchains, live-ops workflows
Proven ability to operate at a Principal level, navigating organizational complexity to drive outcomes without direct authority
Strong technical background (CS degree or equivalent experience) sufficient to credibly debate tradeoffs with engineering leads
Experience translating open-ended or ambiguous technical capabilities into concrete product roadmaps with defined milestones and success metrics
Track record owning platform, developer-tools, or systems products with internal customers
Experience integrating agentic AI tooling into the product-management craft, using agents to shorten the loop from insight to execution
Desired Qualifications:
Experience with developer experience / platform-as-a-product domains, including internal platforms, SDKs, or CI/CD tooling
Experience operating across the studio/central-tech boundary, or in a shared-infrastructure org serving multiple teams
Hands-on familiarity with Unreal Engine and the Unreal Editor, VALORANT's engine and the primary environment its developers work in
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Lanham, MD
Luminis Health - Laboratories
Title: Supervisor - Pathology
Department: Core Laboratory
Reports To: Director - Laboratory (20200-20005-000018)
Cost Center/Job Code: 20200-20005-002185
FLSA Status: Non-Exempt
Position Objective:
In conjunction with the department leadership, this position supervises the operations of the designated laboratory area including adherence to technical, regulatory, and quality components. Ensures that all work is organized and handled in accordance with departmental protocols and serves as a resource to staff.
This position has authority to perform supervisory duties including but not limited to hiring, evaluating performance, issuing final disciplinary actions under the review of Human Resources, and recommending discharge in collaboration with members of management and Human Resources
Essential Job Duties:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Provided leadership and mentorship to laboratory staff, fostering a positive and collaborative work environment. Schedule and assign tasks to ensure optimal staffing levels and efficient workflow. Participate in performance evaluations and provide feedback to team members. Coordinate recruitment, training and onboarding of new staff.
Oversee quality control measures to maintain the accuracy and precision of lab tests. Ensure compliance with all relevant regulatory agencies, as applicable (CAP, AABB, CLIA, etc.). Participates in audits and inspections, addressing any deficiencies promptly. Develop and update standard operating procedures (SOPs) as needed.
Maintain and troubleshoot laboratory instruments and equipment. Coordinate equipment maintenance schedules and ensure adherence. Identify need for equipment upgrades or replacements and participate in the selection process.
Monitor and manage laboratory supplies, reagents, and consumables. Place orders, receive deliveries, and maintain adequate stock levels. Minimize waste and control costs related to inventory management.
Ensure compliance with safety protocols and regulations. Conduct safety training for lab personnel and maintain a safe working environment. Respond to and investigate any incidents or accidents.
Perform tests that require complex network of steps and variables, independent judgement and interpretation while working the bench in the assigned area of the department. Oversee the accurate recording and reporting of test results.
Identify opportunities for process improvement and implement best practices. Participate in quality improvement initiatives and projects. Serve as a technical resource.
Maintains the management of multiple projects and ensures goals and timelines are met.
Anticipates and prevents problems independently by taking corrective actions before crises occur. Takes appropriate steps to resolve. Recognizes non-standard situations, notifies supervisor, if applicable, and documents all corrective actions taken when test systems or processes deviate from the laboratory’s established protocols.
Participates in the annual operating and capital budget cycles. Develops strategies to support financial stewardship and meet financial targets.
Educational/Experience Requirements:
Required Minimum Education:
Bachelor’s Degree from an accredited college or university with course work sufficient to meet the requirements of the American Society of Clinical Pathology (ASCP) for Board of Certification as a technician, technologist/scientist, or specialist (excluding DPT, MLA, PBT).
Required Minimum Experience
:
Two years of experience working in an acute care facility in a similar role, preferred.
Required License/Certifications:
MLS(ASCP), MT(ASCP), HTL(ASCP) categorical or specialist (ASCP), MT(HEW), or MT(AMT); preferred OR
MLT(ASCP) or HT(ASCP) with seven years working in a similar role
Knowledge, Skills, Abilities:
Ability to work cooperatively with all types of personalities both inside and outside the organization.
Working Conditions, Equipment, Physical Demands:
Physical Demands – Medium Duty
The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act.
There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens.
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.
Pay Range
$31.67
—
$65.55 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
Opt-in for text notifications!
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To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time.
Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.
Location: Raleigh, NC
CaptiveAire values its software developers highly and offers them immense opportunities for freedom and creativity while not having overbearing management. We value very highly our work environment and provide the absolute best in terms of equipment. This position is specifically for our line-of-business applications. Primarily, this includes our Sales and Factory software and numerous supporting applications and services.
This position requires someone that has a passion as well as strong skills in the C# space and client-side development. This position will be geared towards new application features and maintenance of the existing codebase.
For overall project management, we use an internally hosted instance of YouTrack as well as Confluence for documentation efforts. For Continuous Integration, we use TeamCity and internally hosted NuGet packages to help better manage our software builds, dependencies, and deployments. We are also using OctopusDeploy for most all software deployments to staging and production environments. Source code is hosted in an on-premises GitHub Enterprise instance.
Goals for this position:
This position will be working with our internal sales and manufacturing software.
Implement new feature requests and fix bugs in existing logic.
Improve application usability / simplify existing workflows.
Ensure software aligns with the goals of the requirements.
Think critically and thoroughly about solutions.
Continuously improve your work and yourself.
THIS IS NOT A REMOTE ROLE
Desired technical skills
.Net/.Net Core
Experience with Entity Framework or similar ORM
5-10 years of continuous experience with C#.
5- 10 years of experience using SQL Server; T/SQL, or equivalent relational database.
Salary:
We offer a competitive salary based upon experience
CaptiveAire employees are expected to be independent with very little hand-holding and technical training required. You should be comfortable taking on medium to large projects and/or features and be able to bootstrap them from the ground-up. You should also be comfortable diving into well-entrenched, custom, in-house systems and applications which drive the entire company. We are easy-going, don't have a lot of processes to get in our way, and basically want to deliver top-notch, quality systems and software to run the company. As part of the CaptiveAire IT team, you will have many opportunities to contribute directly to the success of the company.
Captive-Aire Systems, Inc. is proud to be an equal opportunity workplace. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
To qualify, applicants must be legally authorized to work in the United States. At this time we are not able to consider applicants that require sponsorship, now or in the future, for employment visa status.
#
LI-TL1
#P1
Location: Hybrid - SF Bay Area
Location:
Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday
Job Type
: Full-time W2
About Midi Health
Midi Health is the largest virtual care clinic for women in midlife navigating perimenopause, menopause, and other hormonal transitions. We combine expert clinicians, evidence-based protocols, and a modern technology platform to deliver care that has historically been underserved by the healthcare system. We're a fast-growing, mission-driven company building the infrastructure and products that define this new category of care.
How We Work
Hybrid by design.
Two days a week in-office (Tuesday and Thursday) in Palo Alto or San Francisco. We believe high-trust teams are built in person and scaled remotely.
AI-native engineering.
We expect every engineer to be fluent with modern AI coding tools (Claude Code, Cursor, Copilot, and similar) and to actively push the frontier of how we build software.
Low-ego, high-curiosity.
We approach disagreement with humility and technical rigor, not politics. We invest in each other's growth.
Outcome-oriented.
We move fast, own our work end-to-end, and balance speed with the durability that healthcare demands.
The Difference You Will Make
You'll join a team building the products that power Midi's care — spanning the patient journey (discovery, booking, ongoing care) and the clinician and operational surfaces that deliver that care at scale. You'll drive significant projects from early brainstorming through architecture, execution, rollout, and iteration, shipping user-facing software that meaningfully changes how women experience healthcare.
What You Will Do
Design, build, and own full-stack features end-to-end across our patient, clinician, and operational products
Partner closely with product, design, marketing, clinical, and operations stakeholders to turn ambiguous problems into shipped software
Write thoughtful, scalable code that balances speed of execution with long-term maintainability
Contribute to architecture decisions and raise the bar for code quality, testing, and CI/CD practices
Review code, participate in technical discussions, and help teammates level up
Use AI coding tools every day to multiply your output and help the team adopt better workflows
About You
6+ years of experience building and shipping full-stack web applications at production scale
Strong hands-on coding skills in a modern web stack — we use
Django/DRF and React/Next.js, but equivalent experience is fine
Seasoned at system design: you can take an ambiguous product problem and produce a clean, pragmatic architecture
Solid command of AI coding tools; comfortable adopting and applying the workflows the team converges on
Good mentorship instincts — you share context generously and help peers grow through code review and pairing
Strong written and verbal communicator; collaborates well with non-engineering stakeholders
Proactive ownership mindset; advocate for automated testing, CI, and high code quality
Low-ego, curious, humble
Nice to Have
Experience in healthcare, EHR integrations, or other regulated domains
Prior consumer-facing startup experience
Interview Process:
Recruiter Screen (30 min)
Hiring Manager Screen (45 min)
Live Technical Assessment (2 hours: 2 x 60 min sessions)
On-Site Interview and lunch (3 hours)
At this time, Midi Health is
not able to sponsor or take over sponsorship of any employment visa
(including H-1B, TN, or other work authorization). Applicants must be authorized to work in the U.S. without current or future visa sponsorship.
While you are waiting for us to review your resume, here is some fun content to check out.
Midi 2024 in Review
Women Leaders Invest in Midi
Patient Testimonials
At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is
$180,000-$210,000
per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company,
We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process.
#li-ps1
At this time, Midi is unable to provide visa sponsorship.
All Candidates must be authorized to work in the United States without current or future sponsorship needs.
Please note that all official communication from Midi Health will come from an
@joinmidi.com
email address. We will
never
ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at
careers@joinmidi.com
.
Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.
Please find our
CCPA Privacy Notice for California Candidates
here
.
Location: Boston, MA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE TEAM
The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done.
ABOUT THE ROLE
(Onsite in Boston)
We’re looking to bring on an experienced frontend engineer to develop and enhance new features on LangSmith, our enterprise platform product for LLM application observability, testing, and debugging.
WHAT YOU WILL DO
- Develop new user-facing features using React & Typescript
- Build reusable components and front-end libraries for future use
- Translate designs and wireframes into high-quality code
- Optimize components for maximum performance across a vast array of web-capable devices and browsers
- Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability
WHAT YOU WILL BRING
- Extensive front-end engineering experience with strong proficiency in React, JavaScript and TypeScript
- Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn
- Familiarity with REST APIs and experience working closely with fullstack and backend engineers
- Knowledge of modern authorization mechanisms, such as JWTs
- A passion for user experience, design and building clean, engaging, and intuitive interfaces
- Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders
- The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company
- An ownership mind-set. You are self-driven and look for opportunities to make an impact.
- Strong computer science fundamentals, ideally with a degree in computer science or related field
Annual salary range: $170,000-$235,000 USD
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: United States
Position Overview
Our customers are at the forefront of some of the most interesting data in the world, using SingleStore to push the boundaries every day. To do this well, they leverage the expertise of our Support Engineering Team, composed of technical subject matter experts on the frontlines of critical customer issues.
This Support Engineering role skews far more towards engineering than typical technical support as you will need to delve into database internals and memory allocators, investigate Linux and host-related configurations, and diagnose SQL query behavior, all in the name of resolving complex database issues. Our Support Engineers are constantly learning a wide range of customer systems and technical concepts and are thrilled by the new and exciting challenges that they encounter on a regular basis.
To accurately identify the source and solution of an issue, this team will take the time to learn about the customer’s business and systems while helping to improve their fundamental SingleStore and database operational knowledge. This often requires additional research and time spent on learning new technologies and tools outside of SingleStore while also being deeply engaged with multiple departments including development teams, query performance engineering, product management, infrastructure SREs, etc.
Required Hours:
Monday to Friday
US West Coast (09:00 AM - 06:00 PM PST)
What you'll do:
Provide email and live technical support to our enterprise customers, acting as the first line of defense for complex technical issues, bug diagnosis, or resolving critical outages.
Identify and reproduce product issues, perform QA, and submit formal bug reports or feature requests to the appropriate Engineering team.
Collaborate closely with software developers, sales engineers, and technical account managers to keep all teams up to date with current issues a customer may be facing.
Work to streamline and improve various Support and Engineering processes and tools, author new internal run-books or public documentation, and help the team continually improve efficiency and effectiveness.
Ensure customers have a positive support experience during every interaction.
Your Experience:
4+ years of advanced customer-facing technical support experience.
Experience with MySQL or MySQL-like (MariaDB, Aurora, etc) database and SQL Query Optimization.
A solid Kubernetes and sysadmin skill set. Also, comfortable testing software and finding its limits, hands-on with Linux, checking utilization of system I/O, measuring network throughput, and are comfortable navigating large log files.
Experience with a scripting or coding language. Whether it’s Python, Bash, or Go, you should have a go-to solution for quick and dirty problem-solving and be able to navigate through our code base.
Familiarity with distributed systems and AWS/GCP. You understand how organizations deploy and maintain distributed applications and services across multiple machines Bonus points for knowing how to analyze them for performance bottlenecks and remove single points of failure.
Strong written and verbal English communication skills. Have the ability to explain technical concepts to a wide range of end-users.
About us:
SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.
Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.
T
o all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
SingleStore’s base salary range for this role is $90,000 - $130,000 USD per year
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice.
COG00072
Location: Lanham, MD
Title:
Clinical Supervisor
Job Code:
000747
FLSA Status:
Non – Exempt
Reports To
: Clinical Director - Nursing
Position Objective
The Clinical Supervisor directly supervises staff and is a clinical expert practitioner specific to the unit at education/staff development functions as well as designated management functions to promote high quality, cost effective health care.
This position has authority to perform supervisory duties including but not limited to hiring, evaluating performance, issuing final disciplinary actions under the review of Human Resources, and recommending discharge in collaboration with members of management and Human Resources
Essential Functions
1.
1.
Clinical Decision Making/Judgment
·
Demonstrates expert clinical knowledge and skill in the specialization of the unit or initiative.
·
Provides for the coordination of patient care throughout the continuum for areas of responsibility.
·
Serves as an expert clinician, acting as a clinical resource for the staff.
·
Works collaboratively with other disciplines in problem analysis and resolution for pathways, protocols
·
And patient care delivery.
·
Expertly organizes and reprioritizes patient care activities based on subtle and overt and/or environmental changes.
·
Assists others in prioritizing patient care.
2.
2.
Nurse-Patient Family Relationships
·
Expertly provides direct patient care to patients and families in a culturally, developmentally and ethically appropriate manner.
·
Demonstrates expert skill in managing and planning care for complex patient/family scenarios including physical, psychosocial, spiritual and learning needs of the patient/family.
3.
3.
Clinical Scholarship
·
Effectively performs and improves all processes in order to achieve excellence with regard to AAMC’s quality standards and benchmarks.
·
As part of unit leadership, collaborates in developing, monitoring and changing practice as a result of performance improvement initiatives.
·
As part of unit leadership, collaborates to provide direction for staff development activities and orientation programs and staff meetings
·
Member of a professional organization specific to unit/initiative.
·
Maintains certification in specialty.
·
Supports Evidence Based Practice in clinical specialty to guide nursing practice, development of plans of care and interventions.
4.
4.
Clinical Leadership
·
Demonstrates the ability to enhance skills and performance of others in order to achieve professional and organizational goals. The competency is demonstrated by systematically providing clear objectives, performance-specific feedback, effective coaching and developmentally experience/opportunities.
·
Demonstrates the ability to optimize utilization of staff, matching staff talents and proficiencies to organizational needs in making, evaluating and reorganizing patient care assignments.
·
As part of unit leadership, manages daily operational throughout process in collaboration wth other unit leaders, Administrative Coordinator, Care Management, other nursing unit and support services to include room assignments, rounds/huddles, transfers/discharges. Bed Board, full capacity protocol initiation, and effective communication with other disciplines and departments.
·
As part of unit leadership is responsible for review and implementation of the Joint Commission standards in collaboration with other unit leaders, including participation in Tracers.
·
Fosters interdisciplinary collaboration by chairing or serving as a representative for nursing on hospital-wide and service line committees and/or councils.
·
As part of unit leadership, participates in goals setting and prioritization.
·
As Unit Supervisor, is responsible for human resource management including but not limited to staffing and scheduling, performance evaluation, disciplinary action, orientation/development, and staff selection.
·
Educates and precepts new staff.
·
Demonstrates competency in computer documentation when completing patient records and serves as a resource.
·
Participates in fiscal management of unit to include ParEX oversight, managing repair requests and follow up for broken equipment, evaluation of new equipment and daily management of schedule to insure appropriate staffing levels for volume and acuity.
Knowledge/Experience:
Required Minimum Education:
BSN
Preferred:
MSN
Required Minimum Experience:
3 years as an RN in specialty related field
Required License / Certification:
Maryland RN license
BLS
Where applicable, specialty certifications are required by entity and must be obtained within 12 months of hire.
Working Conditions/Physical Requirements:
Medium
Medium work.
Exerting up to 50 pounds of force occasionally, and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects.
There is reasonable expectation that employees in this position will be exposed to blood-borne pathogens.
Pay Range
$40
—
$60 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
Opt-in for text notifications!
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To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time.
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Location: San Francisco; Toronto
Workplace: OnSite
Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
ABOUT THE COMPANY
Our client builds the data layer that AI agents run on. One API call turns any URL into clean, structured, LLM-ready data. It is already the default way a huge number of developers pull web data into their AI systems.
The numbers back it up: 8 figures in ARR in year one, more than doubled that in year two, and 180,000+ GitHub stars, placing its open-source project among the top 50 repositories of all time. They just closed a $75M Series B. The company is small, moving fast, and hiring people who want to build the next chapter with them.
THE MISSION
They believe developers and AI agents should not have to fight the web to get useful data out of it. Every hour spent maintaining a scraper, dealing with stale pages, or working around brittle retrieval systems is an hour taken away from the actual product.
Their job is to make that problem disappear: give AI systems reliable access to the live web, then make the results clean, current, structured, and useful enough to power real products.
THE OPPORTUNITY
As a Search Engineer, you will own ranking quality and relevance for an LLM-driven search and retrieval product.
This is a role for an engineer whose primary, hands-on discipline is production search quality. You have personally shipped ranking or re-ranking changes, measured their impact, and can clearly describe the relevance, recall, conversion, or other search-quality metric you improved—including the result.
You will work directly with the Head of Search and a small team across crawling, indexing, retrieval, and search serving. These systems are central to delivering excellent results at scale, but they are not substitutes for relevance ownership. Your role is to improve search quality while navigating the real constraints of web-scale retrieval: freshness, deduplication, latency, reliability, and cost per query.
WHAT YOU’LL DO
- Own ranking quality and relevance for LLM-driven retrieval
- Design and build the crawling, indexing, and retrieval systems
- Push down latency and cost per query while search volume grows
- Own services end to end: design, ship, monitor, and iterate in production
- Work directly with the Head of Search and the rest of the search team on the roadmap
WHAT YOU BRING
- 3+ years of experience building and operating search or retrieval systems in production, with ranking and relevance as your primary, owned discipline
- A specific example of a ranking or re-ranking change you personally owned, the search-quality or business metric it moved, and the numerical impact achieved
- Hands-on information-retrieval depth across BM25 and lexical retrieval, semantic/vector retrieval, hybrid retrieval, re-ranking, retrieval evaluation, or RAG evaluation
- Experience measuring search quality through relevance, recall, conversion, CTR, NDCG, MRR, query satisfaction, or comparable production metrics
- End-to-end ownership of search services: you have designed, shipped, monitored, debugged, measured, and iterated on production systems
- Strong backend systems programming skills in Go, Rust, Python, or a comparable language.
- Experience balancing relevance, latency, cost, correctness, and reliability under real production constraints
- Comfort working through ambiguity, setting technical direction, and shipping quickly with a build-measure-iterate operating style
KEY SUCCESS DRIVERS
The people who do well here have personally owned search quality in production, think end-to-end about relevance, crawling, indexing, serving, latency, and cost, and thrive in ambiguity by shipping, measuring, and iterating quickly without needing a fully defined playbook.
WHY JOIN?
- Compensation & Equity:
San Francisco: $235,000–$260,000 USD base salary, plus competitive equity.
Toronto: $217,000–$233,000 CAD base salary, plus competitive equity.
- Traction: 8 figures in ARR in year one, more than doubled in year two. 180,000+ GitHub stars and a developer base showing up before you even start selling to them. $75M Series B closed in 2026, backed by top-tier investors
- Team: ~40 people total, real visibility with the founders and leadership. No layers, no committees, fast decisions, short feedback loops
- Benefits: 100% employer-paid medical, dental, and vision (50% for spouse and kids); employer-paid life, short-term, and long-term disability insurance; 401(k), pre-tax FSA, and commuter benefits; pet insurance; 15+ days PTO; 12 weeks fully paid parental leave for moms and dads; $100/month wellness stipend; $1,000/year learning and development budget; 3-month paid sabbatical after 4 years; team offsites twice a year; SF HQ perks and a loaner e-bike for commuting
- Visa: not open to visa sponsorship on this one (Candidates must be authorized to work in the United States or Canada).
INTERVIEWING PROCESS
1. Intro Chat
2. Technical Chat
3. Founders Chat
4. Paid Work Trial (~40 hours)
We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.
ГибридseniorNew York City Office
Relocation assistance
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